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🌸 Spring Into Success: Get 10% Off Your Statistics Homework Today!
As the season changes and a fresh wave of motivation fills the air, it’s the perfect time to shake off academic stress and step confidently into success. Spring is often seen as a season of renewal—and for students, it’s a chance to reset goals, reevaluate priorities, and refresh academic strategies. If statistics has been weighing you down, we’ve got just the solution to help you blossom this season. At StatisticsHomeworkHelper.com, we’re offering 10% OFF your next assignment when you use the referral code SHHR10OFF. Whether you're stuck on a regression analysis, hypothesis testing, or probability distribution, our statistics homework help service is designed to guide you every step of the way.
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Why Statistics Remains a Challenge for Many
Statistics can be one of the most misunderstood subjects in a student's academic journey. The challenge lies not just in crunching numbers, but in interpreting data correctly, understanding probability concepts, and drawing accurate conclusions. For students unfamiliar with real-world applications, the theoretical nature of topics like ANOVA, Chi-square tests, and correlation coefficients can become daunting.
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Help with Statistics Homework to Build Confidence in Stats Class
Statistics is an essential course for all disciplines including business, social science, engineering, and data science. Statistics, in particular, is among the most difficult subjects that many students struggle with. Challenges often arise from its mix of theoretical and practical aspects of the subject, mathematical computations involved, and precision needed in the analysis of data. It is not easy to develop confidence in statistics, but with the right approach, tutorials, resources, and change of mindset it is possible to master statistics rather than to fear it. In this article, you will discover how students can increase their confidence in statistics class by seeking the right help with statistics homework and how quality assistance can keep them one step ahead.
Why Statistics Feels Intimidating and Why Confidence Matters
Statistics is intimidating for many students, often due to a few core challenges:
Complexity and Abstract Concepts: Statistics involves abstract thinking which is more complex than algebra or calculus, requiring proficiency in concepts such as probabilities and statistical modeling. Most students often find it difficult to identify which statistical tests to use, or when to use a t-test instead of an ANOVA or comprehend what p-values and confidence intervals interpret.
Data Analysis Requirements: When it comes to statistics the goal is not to solve a problem, but to analyze and interpret data accurately. In the case of students who are not conversant with data manipulation tools such as Excel, SPSS, or R this can be very challenging. Application of these software tools creates an added level of difficulty making it more challenging for students to carry out their analysis.
Pressure of Application: Statistics indeed has a purpose and is not just limited to classroom teaching. It requires students to apply knowledge in solving difficult, real-life issues. It can be intimidating at times, and that’s pretty understandable because there isn’t usually a single correct answer, but rather different perspectives and interpretations based on data.
Due to these difficulties, statistics hinder the confidence of even the most disciplined learners. Due to lack of confidence, may result in procrastination, reduced performance as well as a tendency to not seek assistance from other fellow students and professors. Utilizing the right resources and guidance, students can regain confidence and develop a strong foundation in statistics.
The Role of Homework Help in Building Confidence
To obtain confidence in a statistics class one of the best things to do is to get reliable experts for high-quality help with statistics homework. Expert homework assistance goes a long way when it comes to simplifying complex topics, explaining confusing concepts, or demonstrating solutions that mimic real-life problems. Here’s how it can transform a student's learning experience:
1. Focus on Tough Topics: A tutor or homework service can give explanations that match the grasping power of a student. The solutions provided by homework help experts are self-explanatory which becomes easier for students to grasp. Difficult topics are broken down into manageable parts for easy understanding and make it engaging for students. 2. Practice with Feedback: Practicing problems along with instant feedback is critical for mastering statistics. Most assignment help services provide guidance at every step along with helpful feedback to the students to see where they are wrong and advice on suitable methods to use. 3. Application of Statistical Software: Learning advanced stat software like R, SPSS, or Python is always a challenge for beginners. Assignment help services can teach students how to use them properly, with hands-on examples of coding and choosing the right statistical methods. 4. Improved Time Management and Stress Reduction: Solving statistics homework involves a lot of time and energy. With guided assistance, students are able to solve problems faster, and with less confusion thereby cutting down time and work overload. This helps them to be able to keep up with their coursework.
Our service is aimed at students who have difficulties with completing their statistics homework on their own. Here students can find helpful resources on basic and advanced statistical methods, and analysis tools, as well as useful tips for solving problems. All in all, students not only get their assignments done but also receive useful information that can help them build confidence in the subject.
Key Strategies for Building Confidence in Statistics Class
Besides using homework help, students can take specific actions to help herself or himself. Here are some effective strategies that can make a significant difference:
1. Understand the Basics Before Solving a problem
Indeed, statistics as a subject has a foundational structure; understanding the basic concepts first paves way for handling advanced concepts. Some of the key basic topics that are essential are descriptive statistics (arithmetic mean, geometric mean, standard deviation) probability/probabilities, and basic probability distributions. By mastering these basic concepts, students are in a good position to learn more complicated concepts like Inferential statistics and regression analysis.
A good source to sharpen your basic statistics knowledge is – “Statistics for Dummies” by Deborah Rumsey, this book breaks down essential statistical concepts in an easy-to-understand manner.
2. Use Reliable Resources and Textbooks
Good textbooks and resources provide clarity.” Some highly recommended textbooks for students learning statistics include:
• “The Essentials of Statistics” by Mario Triola: This textbook is favored in statistics courses, as the author presents all concepts in a clear and understandable manner for students to succeed in class.
• “Applied Statistics and Probability for Engineers” by Douglas C. Montgomery: This book should come in handy to engineering students and it contains real-life examples and applications.
• “Introduction to the Practice of Statistics” by Moore, McCabe, and Craig: An encyclopedic book that also features practical examples thus recommended for students in the social and natural sciences.
3. Practice with Real Data
Using real datasets can help to make statistics much more interesting. Students can sharpen their data analysis skills by practicing with the datasets that belong to their field of study. Kaggle has free datasets for all types of projects and domains so that students can execute statistical tests on real datasets and analyze the impact of their analysis.
4. Develop a Strong Support System
Studying with friends in a group provides additional support and motivation. Students can easily study groups to solve problems, exchange ideas, and perspectives, and study material. Moreover, there are many forums and communities available online where students can join and get guidance and advice from experienced statisticians.
5. Seek Help Early and Consistently
This is one of the most common mistakes that students make is waiting until the last minute to complete their assignments. Engaging with homework helps experts prevent last-minute panic and enables students to strengthen their conceptual knowledge gradually and at the same time identify weak areas. This helps build confidence.
Our Statistics Homework Help Service: Building Confidence Step-by-Step
For students who are in need of help with statistics assignments, our homework help service provides a reliable medium. We offer:
•Personalized Tutoring: Our explanations are based upon the individual abilities of the student; to help him/her solve certain questions or tasks they are having difficulty with.
•Assignment Solutions: We offer comprehensive solutions for your assignments and homework with post-delivery clarification support to clear all doubts.
•Software Support: We advise on how to utilize R, SPSS, SAS, MINITAB, Excel, and other statistical software that are widely used in statistics classes and assessments.
• Flexible Scheduling: We are flexible to enable the students to come for help as and when they want to.
More Teaching Aid and Assistance for Statistics Students
To supplement further help with statistics homework, here are some additional tools and resources students may find useful:
•StatCrunch: An online tool to perform statistical analysis with simple and versatile tools.
•Wolfram Alpha: An application or software that can handle statistical problems and provide a step-by-step explanation of how it was solved.
•YouTube Channels: There is no shortage of channels with good statistical video tutorials available on YouTube showing step-by-step examples of approaching and solving a problem pr performing statistical processes in software like R, SPSS, SAS, Eviews, etc.
Conclusion: Embrace the Journey to Mastery in Statistics
Though statistics may seem very daunting at first, with the right support and will, any student can master this important area of academics and mold themselves into confident statisticians. Getting confidence in statistics is a blend of grasping the fundamental concepts combined with continuous consistent problem-solving and having reliable expert support that can be counted upon for assistance whenever needed. Whether through our homework help service, recommended textbooks, or any additional resource, students can get over their fears, creating a definite pathway to success in statistics.
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Statistics assignment help for students, professionals and researchers. Our statistics problem solvers can help you with any advanced statistics questions and problems.
Get instant support for:
Descriptive Statistics: This covers topics like mean, median, mode, range, quartiles, variance, standard deviation, etc.
Inferential Statistics: This includes concepts such as hypothesis testing, p-values, confidence intervals, and t-tests.
Probability Distributions: This could involve the normal distribution, binomial distribution, poisson distribution, etc.
Regression Analysis: Linear regression, multiple regression, logistic regression, polynomial regression are some related topics.
Correlation Analysis: Pearson's correlation, Spearman's correlation, Kendall's correlation are some key words to consider.
Analysis of Variance (ANOVA): one-way ANOVA, two-way ANOVA, MANOVA, etc.
Chi-Square Test: Chi-square test for goodness of fit, chi-square test for independence, etc.
Time Series Analysis: Autoregressive models, moving averages, seasonal adjustment, trend analysis are some terms to consider.
Bayesian Statistics: Bayesian inference, Bayesian networks, etc.
Non-parametric Statistics: Mann-Whitney U test, Kruskal-Wallis test, Wilcoxon signed-rank test, etc.
Statistical Software: R programming, SPSS, SAS, Python (Pandas, NumPy, SciPy, Scikit-learn), etc.
Data Visualization: Histograms, box plots, scatter plots, heatmaps, etc.
Machine Learning: Including supervised learning, unsupervised learning, reinforcement learning, etc.
Experimental Design:Including randomization, blocking, replication, etc.
Sampling Techniques: Stratified sampling, cluster sampling, systematic sampling, etc.
Central Limit Theorem
Statistical Power and Type I/II Errors: Important considerations in hypothesis testing.
Data Cleaning: Handling missing data, outlier detection, etc.
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Hii
A recommendation would be that the reader flirts with Spencer and he is very blushing because of it. The team would have fun with it haha.
Have a nice day!! 💖
ok so this is my first fanfic so i would really appreciate feedback(good and bad).
Ties.
fem! BAUreader, awkward spencer reid, sfw. I imagined early seasons spencer but it is non specified.
551 words.
“Did you know that wearing a tie can reduce blood flow to the brain by 7.5 percent?” Ties. That was how this exceedingly embarrassing rant began, you did that thing you do were you randomly compliment spencer; he loves it and hates it at the same time. Which for someone like himself, a logical man who values concrete answers, does not appreciate. Spencer loves problem solving, he has always been an amazing problem solver, when there was an equation, there was an answer, when there was a question, there was an answer, but the random comments that never fail to tinge his cheeks a rose hue, Spencer Reid did not have an answer for that.
By now Spencer realized he has been spitting useless facts about ties for over 3 minutes, which resulted in his face turning an even brighter shade of red.
“Pretty boy, all she said was nice tie,” Derek’s belly laugh could certainly be heard through the entire bullpen. Great, and even bigger crowd for his humiliation.
You giggle, keeping your eyes directly on his, “no no I love your facts spence, as long as you don’t give me a statistic on coffee and its correlation to some unheard-of disease, I will happily listen to you talk.” You add a subtle wink when you finish talking. Spencer’s bashful expression morphed into one of shock.
“You do?” The pure confusion in his voice added to your melodic laugh.
“Of course Spence, it’s the best part of working here.” While light-hearted, he picked up on the truth behind your words, making a shy grin appear on his face. He pushed his glasses up before realising his hair had now fallen Infront of his eyes.
“Here let me,” and before he knew it, your hand was directly in front of his eyes, pushing his hair out of his view. Spencer couldn’t take his gaze away from you. You keep the silent staring contest between you going. You know you will win; you always do.
“Boy genius, you look like a tomato” Penelope states are she strolls past to Derek’s desk.
“Red? I- I am not red its just hot in here.” His voice goes up at least an octave, his hand automatically travels to his cheeks.
“Okay keep telling yourself that Dr Reid,” you whisper the last part so only he could hear. You hand goes and taps his shoulder, keeping it there for a second longer than what could be considered normal, before moving to your desk, which coincidently is directly opposite his.
“I wasn’t lying by the way. Your tie is really nice. Suits you.” You state nonchalantly, as if that sentence didn’t make Spencers stomach swirl and form knots.
“I like yours too! Wait no.” You were not wearing a tie. Great. His utter screw up made you throw your head back laughing, increasing greatly when you looked at his horrified face.
“Thank you, Spence.” Your laugh slowly morphing back into your staple giggle, “maybe I will wear one tomorrow, and then you can mean it.”
“I’m so sorry,” Spencer felt like a puddle on the floor, but the look of admiration in your face made that feeling run for the hills.
“Don’t apologise, it was very cute. you are very cute” You promise him, nodding your head to accentuate your point.
oh. oh.
a/n
ok so sorry this is so bad but feedback would be very very great thanks!! I have some Aaron Hotchner x readers' coming up <3
I did NOT proof read lets pray this makes sense :)
#criminal minds#bau team#spencer reid#criminal minds fandom#mathew gray gubler#derek morgan#spencer reid x reader#spencer reid fanfiction#penelope garcia#first fanfic#please send requests#this is so bad#doctor spencer reid#girlblogging
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December 02 - Envious | Jegulus | word count: 448 | @taylorswiftmicrofic
James Potter is an enigma.
Regulus hates it.
If there is one thing Regulus understands, it is people. He has spent long enough lingering on the fringes of social spaces not to pick up a thing or too about what makes people tick. Are they having a good day? Did hey roll out of bed and feel ready to conquer the day? Or are they having a not so good day, where they yearn for the sun to take a dive below the horizon. Or maybe they had a horrible day that makes them question what they are doing with their life. The thing is, everybody is a mix of these things. People are neither black or white, but instead a strange blend of... grey-ish. Some days they grey appears brighter, and other days darker. It is what makes people human instead of machines.
James Potter, by every definition is inhuman.
He is constantly conquering the day. He never—not even for a moment—lets a cloud come to cover up the brilliance of him. He is a constant ray of literal sunshine. How? Even the sun has to set eventually. And yet, James never does. He never sees a dark day, a dark moment. He is always bouncing off the walls while other students are dragging their feet with bags under their eyes. He is always smiling while Regulus is constantly fighting the hollowness. He has more friends than he has fingers, and knows almost every student in the school by name, and is always ready to strike up conversation with them.
He is a statistical impossibility.
That is what draws Regulus’ attention.
Definitely not his allure which only increases as he grows into his body. The bulk he puts onto once lanky bones as he builds his Quidditch career. The effortlessly tousled curls that are growing long enough to reach his nape—the perfect length for another hand to grab and pull down to—no. His eyes, which Regulus has only seen up close once, but have girls swooning over him in the corridors.
No.
James Potter is an enigma.
One that Regulus is envious of. Only because he needs to figure him out. If he can figure out how James is always in complete control of his emotions, then he can use it too. He can eradicate any complicated or traitorous inclinations he might have just as James has eradicated the dark ones he must have had. He can be the perfect heir, and he won’t have to worry about anything slipping through.
Yes, James Potter might be an enigma, but Regulus Black is a problem solver. And he will crack this riddle right open.
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INCOMING TEXT: omg hv u met MARCUS LANGSTON of the RODANI PROWLERS yet ? they’re one of the crew’s mechanics n actually go by MAGNUM. the THIRTY1 y/o is typically seen hanging arnd RODANI WHEELS. allegedly they’re frm LIBERTY CITY, MIAMI n hv been w/ the crew for 4 YEARS. wtvr. just watch out for them, k ? ttyl !
* tagging these in case. trigger warnings (tw): ⌦ tw violence & combat: mentions of fights, weapons ( knives / guns ), and military training. ⌦ tw crime & cartel activity: past involvement with a cartel, illegal dealings, and lingering debt. ⌦ tw trauma & ptsd: references to scars ( both physical and emotional ), survival instincts, and paranoia.
# statistics.
basic information.
full name marcus langston nicknames / aliases magnum age 30 date of birth october 17, 1977 hometown liberty city, miami, flordia current location miami, florida ethnicity african-american nationality american gender male pronouns he/him orientation heterosexual, demiromantic religion agnostic political affiliation apolitical, leans anti-authoritarian occupation mechanic living arrangements lives in a small apartment above his garage in little haiti language(s) spoken english, some spanish (conversational) accent subtle miami drawl, influenced by liberty city slang
crew rodani prowlers position lead mechanic and strategist years 4 specialty high-performance tuning, reinforcement mods, bulletproofing, and precision engine work
family.
father unknown/absent mother denise langston (former nurse, deceased) sibling(s) none children none pet(s) none (had a stray cat that used to hang around his garage) family’s financial status grew up lower-middle class
physical appearance.
hair colour black (keeps it cropped short) eye colour dark brown height 6'2" (188 cm) weight 182.98 lbs (83 kg) build athletic, broad shoulders, strong arms from years of working on cars tattoos none, just doesn't like it piercings none clothing style practical, durable workwear (dark jeans, fitted tees, work boots), when out, favors hoodies, bomber jackets, and neutral tones, always has a rag or gloves stuffed in his pocket usual expression calm, focused—his eyes always look like they're analyzing something distinguishing characteristics calloused hands from years of working with machinery, a faint scar above his eyebrow from a past altercation
health.
physical ailments occasional joint pain from past military service neurological conditions mild insomnia (trouble winding down at night) allergies none sleeping habits goes to bed late, often working past midnight, sleeps 4-6 hours on average, wakes up early out of habit eating habits not picky but values a solid meal, eats irregularly due to his schedule, mostly takeout or homemade simple meals exercise habits keeps up with basic strength training, a mix of calisthenics, boxing, and occasional runs
emotional stability 8/10 – is emotionally mature, rarely acting on impulse. he processes situations with a clear, measured approach, making him a natural problem-solver. even in high-stress environments, he remains composed, offering calm, strategic solutions rather than reacting emotionally. while he has his limits, it takes a lot to rattle him. sociability prefers to work alone but doesn't mind company in small doses, friendly to most people body temperature runs warm, rarely feels cold addictions none drug use never alcohol use social drinker, prefers beer
personality.
label the quiet backbone positive traits loyal, hardworking, resourceful, calm under pressure negative traits stubborn, emotionally distant, overworks himself, resistant to change goals/desires to create something lasting—whether it's a legacy in the underground scene or a garage of his own, wants to keep the prowlers' cars untouchable in performance fears losing control over his work or reputation, becoming irrelevant in a world that thrives on speed
hobbies tinkering with cars (his version of meditation), watching classic car restoration videos, boxing for stress relief habits rolls his shoulders when thinking, always wipes his hands on his jeans, taps his fingers against metal surfaces absentmindedly
favorites.
weather warm nights with a slight breeze colour gunmetal gray music jazz instrumental and blues movies heist films, action thrillers, anything with practical effects over cgi sport boxing (watches occasionally, spars for discipline) beverage black coffee in the morning, beer at night food bbq, classic southern comfort food animal pit bulls
extra.
zodiac sign libra mbti istp (the virtuoso) enneagram type 5w6 - the problem solver temperament phlegmatic hogwarts house slytherin moral alignment neutral good primary vice pride primary virtue diligence element earth
# backstory.
1977. born and raised in liberty city, miami. he grew up in a tough neighborhood where resourcefulness wasn't just a skill — it was a necessity. raised by a single mother who worked tirelessly to keep food on the table, marcus learned early on that life wouldn't hand him anything. his father was never in the picture, and with no real safety net, he gravitated toward machines.
1991. by the time he was a teenager, marcus was already working under the table at a local chop shop, learning how to strip down and rebuild cars with a level of efficiency that rivaled seasoned mechanics. unlike some of his friends, marcus never let himself get swallowed by the streets. he knew too many kids who ended up dead or locked up. school wasn't his priority, but he made it through. not because he wanted to, but because his mother needed him to.
1995. at eighteen, he enlisted in the u.s. army, serving as a vehicle specialist and mechanic. he wasn't looking for glory. he was looking for a way out. his talent for modifications, reinforcements, and high-performance tuning made him a valuable asset. combat zones taught him efficiency. if a vehicle broke down in the middle of nowhere, he had to fix it — fast and right the first time. his machines kept soldiers alive, and that responsibility ingrained in him a level of discipline that never left.
but the military wasn't just technical work — it was violence, survival, and loss. he saw good men die, missions fail, and systems built to break people. by 00s, the weight of it all was catching up to him. he had the skill, but he didn't want to be another cog in a war machine.
2002. honorably discharged. after completing his service, marcus returned to miami, only to find that reintegrating into civilian life wasn't as easy as he had hoped. his military experience didn't translate into stable work, and with few options, he fell in with the miami - based cartel, modifying and bulletproofing transport vehicles for high-stakes drug runs. the money was good, but the risk was greater. he knew the rules — once you worked for them, you didn't just walk away.
2004. the heat was rising. a cartel job went sideways, and suddenly, people were disappearing. he saw the writing on the wall: stay, and he'd either end up dead or locked up. marcus eventually severed ties with the cartel, but not before making a few dangerous enemies.
months later, he went back to what he knew best: fixing cars for the underground racing scene. his reputation quickly grew, and the rodani prowlers, one of the city's most respected racing crews, took notice. they brought him in — not as a racer, but as the man behind the machines. every serious racer in miami knew: if you wanted to win, you wanted magnum in your corner.
2006. despite his success, marcus found himself in deep debt. it wasn't gambling. it wasn't reckless spending. it was loyalty. a friend from his cartel days resurfaced, desperate for help. a loan shark was after them, and if he didn't pay, he'd end up in a body bag. marcus covered the debt — $60,000. he thought he was doing the right thing. the friend ? disappeared. now, marcus was the one being hunted for payment. the people he owed ? not the kind to let a debt slide. marcus started taking on riskier work. fixing cars for people he normally wouldn't deal with. the debt is a shadow over everything he does.
2007 - PRESENT. his past is catching up. the cartel, the debt, and the choices he made ? they haven't forgotten him. the only question now is: how long before it all comes crashing down ?
# headcanons.
⌯ marcus' car : 1969 dodge charger r/t "black mamba". color: deep matte black with subtle gunmetal racing stripes. engine: supercharged 7.2l hemi v8, tuned for maximum torque and acceleration. modifications: reinforced chassis, bulletproof panels, enhanced suspension for high-speed stability. special features: custom exhaust for stealthier operation, reinforced front for tactical ramming, and a hidden compartment for a switchblade. driving style: built for raw power and endurance — it won't be the fastest off the line, but it'll outlast anything on the road.
⌯ general & personality : emotionally mature & intelligent. he reads people well, knowing when to push and when to back off. doesn't talk much, but when he does, his words carry weight. he prefers action over empty promises. has an unshakable moral compass — he won't put innocent lives at risk, even if it costs him. keeps his temper in check, but when he acts, it's swift and calculated. hates unnecessary noise — pointless arguments, loud distractions, and people who talk just to hear themselves. despite his intimidating presence, he's incredibly patient with younger or inexperienced mechanics. if someone is willing to learn, he'll personally teach them. lasty, marcus has no desire to race. he's not here for the adrenaline — he's here to build machines that win.
⌯ mechanic & cars : is known for his precise, efficient work. no wasted movements, no unnecessary modifications, just what's needed to make the car perfect. can diagnose an engine problem just by listening to it for a few seconds. his signature mod is reinforcement — his cars are built to withstand damage while maintaining high performance. has a personal dislike for over-the-top flashy mods — " if it doesn't make the car faster, why the hell is it there? " - magnus, 2005 takes great pride in his work. if a prowler car wins, it's a win for him, even if he's not behind the wheel. has a soft spot for old-school muscle cars, but he's also a master of modern high-performance tuning. always taps the hood twice after finishing a job — a silent approval.
⌯ combat & survival instincts : still moves like a soldier. situational awareness is second nature to him. always checks for exits in any building he walks into. old habits die hard. knows how to fight, but prefers not to. carries a knife rather than a gun. he's seen what bullets do up close and doesn't take them lightly. has a strong sense of self-preservation. he'll take risks, but only calculated ones.
⌯ relationships & loyalty : fiercely loyal to the rodani prowlers, but he keeps his own cousel and questions orders when necessary. has a protective streak, even if he doesn't show it outright. if you're one of his people, he's watching your back. rarely talks about his past. if he does, it means he trusts you deeply. takes care of those in his circle without needing recognition. need an engine fixed ? done. need a way out of a bad situation ? handled.
⌯ personal life & habits : sleeps lightly and irregularly. years of military life and cartel work have trained his body to stay alert. prefers strong black coffee over anything fancy. keeps his workspace meticulously organized. if you mess with his tools, expect a death stare. has a deep appreciation for jazz and blues. smokes occasionally, but only when he's deep in thought. hates the spotlight and would rather work in the background.
⌯ the cartel & his past : keeps quiet about his time with the cartel, though the scars ( both physical and mental ) remain. knows exactly how far you can push a deal before it turns deadly and how to negotiate but refuses to go back. despite breaking free, he knows the cartel never truly lets anyone go. the debt hanging over his head is a constant reminder that his past isn't fully behind him. if someone from the cartel resurfaces, he's immediately on high alert. won't take another job for them, but if cornered, he'll do what he has to in order to survive.
# other links.
CONNECTIONS. INTERVIEW. PINTEREST.
* since i didn't want this post to be longer than it already is, possible connections can be found here!
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has there ever been a mass tail-tripping? Like all the solver drones just trip on their tails at around the same time?
"That would be statistically impossible..."
"But funny."
"... it would be funny."
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The Mansion Incident Occurred in 3020 or 3021
I've always been frustrated that the timeline of Murder Drones simply doesn't work based on what we know and see. The core collapse must have occurred over 18 years ago based on UZI's minimum age, and the mansion incident must have occurred years prior to the core collapse.
Despite that Tessa looks to be in her mid 20s at most in the current story and early teens in the mansion flashback, complicating matters.
How long ago the mansion incident occurred has been speculation up until now, but after re-watching Murder Drones Ep5 to prepare for Ep7 I noticed (or possibly re-noticed) one of the statistics in the Zombie Drones training tape is dated as being from the year 3020.
Specifically the statistic about the frequency of Zombie Drone self-rebooting, and what do we see immediately after the tape concludes?
A Zombie Drone self rebooting. CYN awakening in the landfill.
Why add a random date to that one statistic? Because that is the year CYN awoke as a Zombie Drone.
The current year is 3071 in Murder Drones with the year likely still being 3070 in the pilot.
Therefore the mansion incident occurred approx 50 years ago either in the year 3020 or 3021.
So yeah. Something is up with Tessa. She should be in her 60s right now.
Cryosleep, cloning, solver-infection, Tessa being CYN in disguise. One of them has to be correct.
I think I may have already realized this before only to forget about it until re-watching Ep5 sparked my memory. At this point I've lost track of how many outlandish Murder Drone's related theory posts I've made.
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Unlocking the Power of Data: Essential Skills to Become a Data Scientist
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I saw you were doing matchups and I would love to join in❤️
Id prefer a male
My eyes and hair tend to be my most prominent features. My eyes are really blue with some yellow around the iris. My hair is long brown thick and wavy and 90% it gives off mermaid vibes. I am fairly short and most of the time I get mocked for it. And like I get it because I only know a single person that is shorter than me. That being said I give back what I receive so mock me and I will roast you.
I am an ambivert. I like being around people but silence and stillness is preferred more times than not. I am the friend you can count on for anything. Literally nothing is tmi. I am also very meticulous and analytical. Like numbers, logistics and statistics is my jam. Really scratches the itch in my brain. Always been a good problem solver and I prefer to do things my way. Will genuinely get upset if someone starts helping me with asking if I want help. Not even upset. It will ruin my day, and I will hold a grudge at least until the task is complete. Sometimes I get too focused though and will just completely zone out. There really is no way to reach me when that happens. You just have to wait it out😅
I do love a good laugh at the end of the day and I prefer to spend my time happy rather than waste it being sad and angry. I really can be one of those annoyingly positive people and especially in the morning😅
Hope you have an amazing day/night/whatever it is for you!❤️😊
Author's Note: Thank you for your lovely request! You seem like such a complex and wonderful person! Hope you'll like it!
I ship you with...Trafalgar D Water Law!
(lovely gif is not mine, please show appreciation to the OP)
- You two will not get closer to one another as allies, friends, or anything like that. Straight up you two won't stand each other initially. (Be patient, it will get better)
- At first, he thinks you're just a pretty woman who would get his crewmates or Sanji to fall head over heels and that's all. Sike.
- He's surprised by how logical and analytical you are. He starts to think that if you let your differences aside, you two can come up with effective plans and strategies.
- Law will respect that you're an ambivert, he gets how complex your personality is from that.
- However, expect him to tease you, only because he knows you'll always have a comeback. He enjoys this back-and-forth going on between you.
- He realizes he is drawn to you when he sees how you're always there for your dear ones if they need help. From that moment on, he gets more protective over you, but it's something really subtle (expect him to tower from behind you, looking at a threat with narrowed eyes, without you feeling it). He knows that you can protect yourself just fine but his fear of losing someone again gets him to act like that.
- Law learned his lesson not to try to help you when you got it under control, although this bold independence worries him at times.
- The Heart Pirates will notice all of their captain's subtle changes and sometimes will tease him for falling for a mermaid, like a true pirate lol.
- After he gets attached, he starts to worry more about you overworking yourself. Yes, he is also guilty of overworking and thinking he can handle it just fine, like you. But it's you...he needs you to be healthy.
- I can picture this: him trying to distract you during the day so that you will take a break and you trying to distract him at the end of the day to finish his things and just rest a bit.
- At the end of the day, he'll like to listen to you talk about just anything. It's the time in which you two bond together the most.
#one piece#one piece matchup#law trafalgar#trafalgar law one piece#trafalgar d law x reader#one piece matchups#one piece trafalgar law#trafalgar law x reader#trafalgar law x y/n
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Self-Indulgence; A Criminal Minds Multi-Fandom Fic
Also found on Wattpad, Quotev, and Ao3 under the name BreakingBranches.
CHAPTER 1 - Loose End
Season 1. Episode 15. Unfinished Business.
IT'S NO SECRET that the younger you are, the longer time seems to go. Once you reach your fourties' a decade feels like a fever dream. Cassandra was still a little far from that mark. She was still only twenty-six. Twenty-six and she had wasted eight years of her developmental life personally deteriorating her own psyche. Only to be spat out by the big green machine. Now, eight years wasn't a decade, but it was certainly a long time to spend running towards no light at the end of the tunnel.
The tunnel had ended. The light still wasn't there.
Cassandra wasn't suffering, not really. She wasn't stuck in an endless torture of her own mind. She had passed her evaluation. She had been cleared for the field. Twice now, given she was sitting in the stuffiest office possible with the worst fluorescence known to man. Maybe the second worst, and she would only know this from the memories that this little scene brought back. Except in these recounts, she was on the other side of the desk.
"Miss Lorayne, we ask that you answer these next few questions to the best of your ability. Do you understand what I mean by that?"
"I do."
————————————
There was an incessant buzzing in Cassie's pocket. At first, ignoring it had been her go-to solution. That hadn't worked. It still rang on. Over and over. And over again. Nothing but a frighteningly stimulating reminder of why she was here. Sometimes another person's kindness only serves to make you feel more helpless. Cassie had gone from a problem solver to a statistic in just twenty-five seconds. A few months later she was back to her protector role. The only difference was that this role didn't require her to move around every few months. Currently she was stationed in Quantico, Virginia. Sure, she had been given the warning that her days of freedom were seldom with this job. That traveling was still very much a constant, so much so they needed a personal jet. Having a house was just a new sort of feeling. Not a good one. Not a bad one either.
From police to FBI, oh how the mighty had fallen. Everyone had their opinion of each other in that part of the world. CIA, FBI, homeland security, the military, and all the way down to beat cops just trying to fill a quota. They all had their specific issues with one another. Sometimes it reached a point where the individual only cared because it was mob mentality. Cassie had her reservations, but she also had to have a job. Work till' you die, the American dream.
Physically, she was beyond qualified. Mentally, she met the requirements. Socially? That was going to be a fickle bridge to cross. One she was about to meet much sooner than she would have liked.
Today wasn't supposed to be her first day on the job, the role of a profiler and investigative specialist for the Behavioral Analysis Unit. Much to her chagrin, it was going to be beyond easy. They had been assigned a case early in the morning, a Sunday. She wasn't given the full details, former serial killer, something about resurfacing. Something about an old vendetta. Something about a former agent who had spent the later half of his life obsessing over a lost case. Something, something, it was always something. Initially, Cassie was to be formally introduced to the team in a timely manner, in which it was supposed to negate any sour feelings or potential problems. Though since the jet was about to take off, she was unceremoniously given a pat on the shoulder, and a general gist of what she was up against.
However there wasn't enough time to prepare her for the mixed bag of people she was about to meet. Not entirely in a negative perspective, it all trailed back to her own social issues. She was easier to describe than them, and that was more often than not five simple words.
'Hard to get along with'
The muscled figure stepped onto the plane, inching her way through the first enclosed space. Once she was on the other side of the thin door she was met with six faces. Only one was vaguely familiar, the other five were total strangers. It wasn't hard to place vague description to the silent confused figures before her. Nerdy, jock, kind, snappy, old. That's about the most she processed. There was obviously a lot more that had been described to her, but looking at them now she decided to just boil it down to the bare minimum.
"Lorayne."
"Hotchner." Cassie stuck a hand out to shake his own. A firm grip meeting an even harder. Calloused fingers met better kept ones. He still had a wedding band on his finger, that was probably the only reason his skincare routine was better. Not that she had any to compete with.
Cassie had met agent Aaron Hotchner before. He was working on a case that bounced back and forth between military and federal jurisdiction. She was stationed in America at the time, a fateful meeting that didn't seem all that important so many years ago. Today she was unable to tell if she was thankful for it or not.
Green tinted eyes met hazel ones. The stare was neither aggressive nor polite. It was just that; a look. "How is Haley?" Hotch's wedding band was warm, he'd been white knuckling his fist all morning. At first she thought it might have been her arrival that sparked the odd tension in the plane, however when a seventh figure emerged from the back end, she realized she shouldered the blame pretty evenly. It didn't take an analyst to pick out he didn't belong here. He wasn't horribly anxious, but he rubbed the nail head of his pinky against his ring finger. He was angry about something. Most likely the liaison she was told would be joining the team temporarily. This was his old case. He'd have to feel some sort of guilt, nervousness, or pressure over this. After all in some way of describing it, it was his fault this guy was still out there. You'd never hear Cassie admitting such a thing out-loud.
Hotch's response about his spouse was interrupted by another voice. A heavy voice, it was filled with confusion. "Hotch?" Aaron turned, Derek was almost out of his seat now. His skin crinkled as his nose scrunched. A half a sneer. "Right, sorry." Aaron took a step to the side, he'd gesture over towards Cassie.
"This is the new agent, introductions were supposed to be more formal but..." Cassie could see the way he fought himself to not look towards the odd man out. She piped up. "Liberté, egalité, fraternité." Her pronunciation wasn't that far off. It sounded practiced. It was. "French revolution?" The skinny kid's brows knitted. His train of thought was derailed by the ever consistent Derek. "We all know that one. What the hell does it have to do with this though?"
Cassie shrugged, awkwardly rubbing her chin against her shoulder as she did so. "Something about sticking it to the man. I was supposed to start Monday, but they weren't entirely sure when the team would return. You're as upset about this meeting as I am." The atmosphere was honestly much kinder than most situations she had been in. But she was out of her element, a fish out of water. Here everyone seemed casual, when her normal was the very opposite. All eyes were on her. It took her another moment to understand why. Thankfully with the change in pace she didn't have to meet every confused gaze with a stiff position. She was allowed to be as informal as possible. Still, impressions mattered.
"Cassandra Lorayne, Cassie, Cass, I don't have much of a preference." Tan fingers flexed against her sides. Without her manual of squaring her shoulders, planting her feet together, and raising an arm to her forehead, she didn't know what to do. Aaron was nice enough to pick up the slack. He'd point with all five fingers towards each member. "Jason Gideon, Elle Greenaway, Derek Morgan, Spencer Reid, Jennifer Jareau, and Max Ryan. Ryan was a part of the initial case eighteen years ago." At each call of their name the member would give some sort of wave or awkward smile, as if the pointing wasn't enough of an indicator.
The air about them gave away the notion that they weren't entirely aware of her indoctrination to the team. Cassie doubted it was sprung on them, but the concept was probably only batted around before more important things stole their attention away. Aaron had known for a while, he was the only one lacking any sort of surprise.
A few moments of people watching later and the jet was already taking off. Nobody sat properly, instead they'd shift their positions to sit around a clunky laptop that Derek was opening up. Dark fingers pads clacked against buttons, a small ringtone, and there was a woman on the other end. She had blonde hair and a very personal choice of fashion sense. "Talk to me sweetheart." Noone on the jet besides Max batted an eye at his nickname for the woman. Reid caught Cassie's confusion. A cautious smile paired with a tilt of her head led him to notifying her with two fingers half raised. "Penelope Garcia, our technical analyst." Cassie nodded. "Your oracle, yeah?" She'd murmur back to him. He didn't quite catch the reference. She didn't get a chance to explain it.
"Philly PD confirmed that Carla Bromwell's been dead less than twelve hours. She was forty-seven years old." Hotch and Morgan glanced between each other. "That's odd."
"Their age range is older."
Elle cut in. "Why would the victimology change?"
"That's not the only odd thing, she was found tied with flex-cuffs, not ropes." Everyone was a puzzled as the next person. "That's all I have for you, PD is waiting for you at the crime scene." Morgan just nodded and waved her off with another unprofessional comment. "Thank you baby girl."
It wasn't easy to tell whether Cassandra's perplexed expression was due to the new information, or Morgan's choice words for his coworkers. Reid would once again offer some lighting. "It's sort of their thing." It wasn't a very good answer, but a relation like that, one that hadn't violated any rules yet, wasn't something she was able to comment too much on as the newbie. Instead she'd take the high road and sit back with a thick file of the former case findings. Unlike most others on the jet, she didn't spend her time researching other murderers and serial killers. It wasn't from a lack of care, more the opposite. Her former job hadn't been much different, albeit more physical. But she tired from surrounding herself with the worst humanity had to offer. She'd seen both sides of the spectrum, but the most heinous interactions often crossed her desk. If she had put any free time into it, she would have taken the plunge several years ago.
Instead of a refresher, this was her first time seeing the details. She'd have to put a good amount of effort into reading up on it. Everyone else was familiar enough. The seasoned veteran of this particular killer didn't seem to keen on the help, which only created another barrier.
He wasn't stupid, and if Cassie could hear the way her newfound coworkers spoke about him, so could he. It wasn't anything unprofessional just voiced concerns. Cassie wondered if she had listened any longer when those same concerns would be made about herself. She didn't have the time to worry about some other's perception. The folder was thick, it smelled like freshly printed paper. Old records had been tracked down and republished, it beat searching up the initial documents.
She'd read over the whole thing twice before flipping back to the first police report and actually thinking about the words in front of her. By all accounts this new method of killing didn't seem to connect the previous offender. If it wasn't for the letter, nobody would have known. Which meant it was someone who wanted to do this, not someone who couldn't stop themselves. Which, Cassie had never found to be an accurate description of a murderer. She knew other profilers would classify that sort of person as an unwilling victim of their own urges. She liked to classify them as dead. But this was FBI, not the lawless land of the military. Blue jeans pressed against the back of leather seat covers, repositioning herself at the previous train of thought.
Why had he changed? It wasn't of his own accord, couldn't possibly be. Maybe she was getting ahead of herself. Her tongue caught between her teeth, sounding off a sort of clicking noise.
————————————
Carla Bromwell's home was filled to the brim. The news reporters and curious passerby's were enough to give Cassie a headache. The amount of detectives inside was another issue. She'd split off from the two most comforting figures to take a look at the body. Gideon and Elle were headed to the room as well. "Agents Gideon, Greenaway, and Lorayne." The department detective raised a brow, but he wasn't given time to push the subject matter when Max came into the room.
"I was wondering when you'd show up."
Cassie didn't listen to the rest of their conversation. She might have been interrupting something when she spoke. "It's been processed?" A simple nod was all that she'd need. Kneeling down near the body, Cassie would carefully move her wrists and neck. The photos were an obvious indication that this was a different methodology. Elle took over, repeating Cassie's steps. Maybe it was out of distrust. Maybe it was out of morbid curiosity. "There's no bruising."
"The note said 'no fight'." Cassie tilted her gaze up towards Elle. Who was currently distracted with something else. From the looks of it, one could only assume it was whatever Max had said. Bad first impressions, but Cassie was struggling to really care about how the older man felt about all of this. Her scrutiny wasn't solely just from blaming him, more so his attitude. She didn't like it. Which wasn't actually saying much given she didn't like a lot of things.
Gideon broke the tense silence. "The wound is extensive, it's violent, he's escalating." Elle went on a sort of goose hunt after that. Not that Cassie would have done any differently, but she just wouldn't have said it out-loud. Her ability to work with others wasn't nonexistent, yet it did need an update to the manual.
"Elle's good at this sort of thing Max."
"Never said she wasn't."
Leveraging herself with the nightstand, she'd use an arm to stand up and take a step back so Max could look at the body himself. There wasn't anything else the could learn from it without the forensics report. Ryan pressed a padded finger against the woman's clothes. "I haven't felt like this around a dead body in a long time."
Cassie didn't need to hear anymore. He was taking it too personally. The former MP was no saint, she had her fair share of cases that she wore too openly on her sleeve. She had grown since then, to some extent. And in the areas that she hadn't, she kept hidden.
As she was stepping out, Reid, Hotch, Elle, and Morgan were all coming back. Hotchner had a paper in his gloved hands. It didn't take a genius to guess what it was.
"In order for the light to shine so brightly, the darkness must be present." Max had taken the note, intent on reading it with his own eyes. The note offered two more context clues, a quote from Max's book, and the promise of a gift in two days. It was all an attempt at riling the former agent up. The unsub was targeting him specifically. Either a grotesque fascination or the perfect means of getting him worked up. An on edge agent is an agent who can't do his job. It was working.
They weren't going to find anymore than that. The behavioral team led themselves outside, only to be greeted by more angry reporters and microphones in their face. Cassie weaved through the crowd and dodged into the closest car available to her. A black sedan with tinted windows, a rental, something for the team to use. The department was the next agreed upon stop, from there everyone had done just about the same as her.
Unluckily enough she had managed to pick the one vehicle that Morgan was driving. The leather smelt of some bad cleaning agent and the air was humid inside the van. Getting comfortable seemed impossible so she'd opted for the self meditating movements of pressing down overgrown cuticles with her thumb.
"So,"
She turned her head, her eyes lagging behind in the motion of facing him.
"So?"
"First day."
The car stalled to stop. Someone was taking too long to turn.
"Yep."
"That's all? No questions, comments, concerns? No issues?"
Cassie's light brown brows furrowed. "Should there be?"
"No."
"Then, no."
There was silence again. The conversation was over.
"But,"
Until it wasn't.
"Most aren't as enthusiastic to touch a body on their first day."
"CSI had already done what they needed to. I didn't see anything wrong with it."
Morgan let out an odd half-laugh, half-cough. "Again, I meant as enthusiastic." He'd tilt his head to the side, still facing forward as he spoke. His eyes never left the road ahead, but he made up for that with other movements. Every time he spoke his right pointer and middle finger would spread off of the wheel and point to who knows what. His right thumb tapped against the leather cover.
"I wasn't enthusiastic."
Her nose would crease with the rest of her face. An extended proof of her dissatisfaction over the comment, as if the quick change in tone wasn't enough.
"It was the first thing you did."
"But it's not my first time."
She watched as his bottom lip tucked under his front teeth.
"What did you do before joining the BAU?"
"You don't know?"
"I wouldn't ask if I did."
"This. Homicide investigation. We were all profilers, and detectives, and the law."
"Military?"
"Yeah. Aaron didn't say anything?"
"Didn't get the time to."
"Right."
There was no more talking after that. Further into the city streets Morgan would trade his hand motions for a thin pursing of his lips. Traffic was entertaining enough to drop any other questions he had. Or, Cassie just wasn't.
There was no time wasted between parking the rental and meeting with the other timely members of the unit. They made their way inside the sand colored building and pretty quickly they had the entire department working with them. Cassie would take a few steps towards the back, as though she were yet another officer these agents were preaching to. It wasn't only due to her new rank on the totem pole with the team. She was also a little jarred by how quickly they where to adhere to policy and comply. Then again, this was the bureaucratic process, not the militaristic.
Hotch lead the beginning of the profile, as he went on the others bounced off of him. They were a real unit. Real as hers used to be. Most likely better.
"Over the last two decades, our killer has changed. The age of his victims is more notable."
The head detective on the case shrugged his shoulders. "The keystone killer is older, his victims are older too. So?"
"Most killers have specific fantasies they act out through their violence. These people fall under an identifiable few categories. He liked young brunettes."
"And that means?"
Back to the BAU members, they worked fairly seamlessly. There was no indication of a turn, however nobody attempted to speak over the younger Dr. when he chimed in. A commentary on Ted Bundy. Cassie only hoped he was brought up due to his known name, and not some weird fascination. Reid would go on to explain even Bundy had a type, a type that when he started to neglect, lead to his ultimate capture. In the same vain, it lead to more violence.
Gideon raised both palms at an angle. "It could be a sign that he's devolving." As though there was some invisible speaking baton being passed between the group, their statements moved from one to another. First with Morgan. "Which could mean he's about to slip up. Though, the devolution theory is just that, a theory, we can't rely on it."
"If he is in a frenzy," Hotch interjected, taking the mantle of the conversation again. "We can't tell how fast he'll continue to devolve."
"Or how many more victims he'll take before he's finished." Gideon curled his mouth inward.
"So, in order to keep that number as low as we can, we need to go over everything. Everything we learned eighteen years ago, everything we got today."
The oldest of the BAU leaned back against a whiteboard covered wall. He steepled his fingers together. "We'll start with the older profile, Max," The latter turned away, shaking his head and waving the former off. Gideon sent a look towards Hotch, who cast it over to Cassie. Her eyes went wide, then they scrunched up. Russet colored lips pursed before a curtly nod was offered.
"Right the..." She thought, frowned, then continued speaking. "We're looking for a man in his forties now, white. He's thoughtful, meticulous. His former means of killing suggests a law enforcement or military background. Most likely he's stayed in the same area all of his life." Had she been speaking too much? She passed the proverbial stick with a look of confusion. Tossing it's invisible form into the air and hoping for the best.
Elle would come to the rescue. Then Morgan, then Reid, and back to Hotch for a closing statement. Gideon had meandered off after Max. At least, that was the most likely scenario. She couldn't really see the stern faced agent walking off just because he didn't want to present in front of the class anymore.
If he had, she wouldn't have judged. Her own presentation of the profile left a bad taste in her mouth. She wasn't used to this way of phrasing it. It felt clunky, unnecessary. She looked for evidence and facts, not probability. A profile wasn't unheard of in her investigative unit, but it wasn't relied on in the way it was here. Psychology was one thing, making up a killer in your mind was another. She was still skeptical. Openly so when she had been interviewed for the position. They felt her stance was a fresh look. She felt it was a pity situation.
After wrapping up the main idea, Hotch gestured for the team to follow him to a carved out space for them. The blinds were up, leaving the goings on inside of the room visible to everyone. Cassie didn't mind. The openness felt fresh. The sun could peak in through the windows. Her old office had been without windows, the light fixtures were bleary, the paint job reminiscent of a filing cabinet covered in dust. She much preferred it here.
She appreciated the two whiteboards. Even if it made the room more cramped, it allowed the youngest of the group to visualize his musings. In her past, she would have just strewn papers about her desk and hoped for the best. That seemed viable here too, but with so many members it might have gotten overwhelming. She glanced down at the wooden fixture. It already was.
"We should focus on the differences between the crimes, what's he doing that's new?" Hotch breezed past the group, yet another Manila folder in his hands.
Elle, Hotch, and Morgan opted to sit around the table. Reid stood, phasing in and out of his own little world when the conversation required it. Gideon was beside him, he put more of his eggs in the basket of the exchange. The self-certified genius was good at balancing them between the two. Cassie was comfortable standing as well, just on the other side of the room. "The victim was hit in the head, so that's one." Derek leaned back against his seat. "The note mentioned she didn't put up a fight, so why feel the need to hit her? To show dominance?"
Hotch shook his head. It didn't make sense. "He never needed to before." Elle thrummed her fingers along a photo of the crime scene. "But a hit like that wouldn't just scare her, it would knock her out."
"—To control her better." The head of the group finished.
Cassie's gaze flicked between each speaker, landing on Gideon as he found interest in the abyss. He stared towards a photo, but his head seemed somewhere else. "He switched from a knot, his signature, to flex-cufs."
"They're easier, it saved him time." Morgan kept his eyes on Gideon. He'd turn his head over his shoulders to catch Cassie's eye when he finished speaking.
"No, no, it's not that. The knot was intimate. It wasn't about the ease of immobilizing her. He chose a completely unnecessary approach."
"Maybe we should just forget about this, seriously. It's not helping us to go over what others already knew. Let's pretend he's a new offender."
The glass was cool against her arms, she'd trade her hands for her biceps when pushing off of the wall to step forward. A little brazenly, she let a few fingers fall to the head of Morgan's chair, pressing down and holding on as a sort of cane for her posture. "That's the problem, he's still the same person he was. We can't mull over what happened in the past, but we can certainly compare it to the future. He went from intimate, slow, methodical killings. He played out his fantasy with full physical control. So he traded it, for what? A smack to the head and a heavy lidded girl. He can't watch himself take the life from her eyes anymore. Where's the 'fun' in that." Cassie sucked in a breath through her teeth during her commentary. She let it go quickly as she ended.
"What I'm saying is—"
"—Guys, I have a name." All eyes moved from Cassie to Reid. She lifted her hand off of Morgan's chair and crossed her arms. Her hip dropped at an angle and she balanced more weight on her left leg.
"Nibrahs? What is that?" Reid bit the inner left part of his cheek at Elle's question. "It's backwards, S. Harbin. He was an original suspect."
"It's not him."
Max had finally made his entrance. He brushed off the conclusion, claiming Scott Harbin, S., had been in jail for stabbing someone. Sentenced thirty years, which meant there was no way it was him.
"Unless he's out on parole."
Max didn't seem to keen on the notion. "He's a pervert and a small time thief, he steals undergarments. I interviewed him, twice, he's no killer." There were a few exchanged looks. Morgan picked up his phone and nodded in Hotch's direction, who returned it with a nod of his own. "I'm going to call Garcia, see if she can find anything about him."
Max raised his voice, adamant that they were being lead down a dead end. A second wave of looks. Silence. Morgan left.
"Jason why are we here?"
"Hm?"
"Are we here to catch him, or just prove to Max he knows more than us?"
Nobody answered, because the only one who could had left. The four remaining didn't have a chance to pick up where Cassie had left off. Derek came back in with a shit-eating grin and a notecard with scribbles on it.
"We've got an address for Scott Harbin. He was paroled three months ago, missed his last hearing."
"That makes him a wanted man." Elle was already out of her seat, pulling her brown jacket over her shoulders.
Leaving the station house required a bit more than a few rental and squad cars. Priorities were higher, everyone was banking on the fact that this was supposed to be their guy. A killer to be put away. It still felt too easy. However, a dead end still pointed you to a different direction. They'd be negligent not to take it. No matter what was about to meet them on the other side.
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They'd been banking on the fact that this was their Keystone Killer, SWAT was going to be involved one way or another. It took a few extra moments to get their group in the door after the men in black. They took a more defensive stance and let the first three members of the BAU past. Elle and Cassie were at the forefront, the presence sent a silent figure to dart from behind a cabinet.
"Don't move— Hey!"
Elle practically vaulted past Cassie towards the man, grabbing him by his shoulder and sending a swift kick to the back of his leg. He stumbled over and she applied her weight to his back to apprehend him. "Are you Scott Harbin?" Cassie felt a hand on her shoulder, and instinctively she moved out of the way. Max looked down at the man being detained. "That's him."
"Nice to see you too Ryan." He'd smile up from his cuffed position. Cassie's brows met in the space between her eyes and tilted upwards. "You missed a parole hearing." Gideon commented. It was just an excuse, they had no reason to be here. They had no real evidence. A lawyer could dismiss his name in the riddle easily. But, an excuse bought them time and a search warrant.
The agents wandered through his home, picking up what they could just based on his arrangements. He was organized, neat, obsessively so. He needed constant control over every aspect of his life. It made a good argument. Cassie didn't like the feeling of it, though. She stood in front of him, her hands resting on her hips. Her expression gave a lot more away than just a train of thought. She bounced from theory to theory. Moss colored iris' scanned his form. Even going so far as to move behind him from where he sat in the arm of his couch. She couldn't see any injury to his hands. Nothing of note about his posture or physical capabilities. He moved his fingers back and forth, a squeezing motion, an attempt at self soothing. She didn't think this was the guy. As much of a creep as he was.
He looked out of the corner of his eye at her. "You finished checking me out?" Cassie locked eyes with him, nothing but disinterest on her face. She wasn't going to say anything, even if she was she wouldn't have had the chance. Elle made her way over, almost gesturing for Cassie to take a position behind her. The two were about the same height, maybe Elle had an inch or two on her. Cass was a little better built physically. Not a hulking mass of muscle, but you could see the beginning of a tone through her short sleeved shirt. She'd take the offer anyway and step around the two. Elle was leaning over in Scott's face, her eyes wide with something beyond disinterest. Fury maybe. "Did she upset you? Make you angry? What? You're fantasizing about hurting her, me? No, no you wouldn't do that. What's the matter Harbin, can't handle a woman who isn't afraid of you?"
Scott licked his lips. A sign of enjoyment, a sign of stress, it wasn't enough to tell just from the movement alone. Agitated, probably.
Gideon pulled Elle aside. Cassie didn't want to listen. She moved on from the room and up the stairs to the second floor of the home. A few SWAT agents still roamed, but she mostly watched as Morgan and Hotch moved back and forth. They stopped in the entrance of a room for a second. She waited, too many cooks in the kitchen. She wasn't needed anywhere right now.
"We need some help in here! Get an ambulance, now!" Morgan's voice was like an alarm bell ringing, everyone throughout the home heard it. Someone called out a response and raced down the steps past her. She was moving with similar urgency in the opposite direction. She was tall enough to see over their hunched forms, Hotchner and Morgan crouched near a woman. Her mouth had been taped shut, her feet tied at the ankles. She was wrapped in some sort of plastic. Awkwardly, Cassie shouldered Morgan to push him out of the way. She wormed herself between the two and pulled out a knife from her back pocket. Carefully she tilted the sharper side of the blade up towards the ceiling and worked it under the plastic. It took a bit of leveraging and gentle 'It's okay, you're okay, its okay' to get the knife to pierce the solution. Once she had it torn enough she moved to pull a blanket off of the bed above them. Hotch helped to cover the exposed woman as Cassie cut, leaving no room for any extended embarrassment.
The woman wasn't harmed besides a few bruises on her hips and thighs. That was good enough for Cassie. Once she finished peeling back the last of what was on top, she switched positions with Hotchner and pressed a hand against the woman's cheek. There were too many sounds, too many questions, too many voices, Cassie only focused on the lady's sobs. She did her best to murmur those same former phrases over and over again.
What felt like far too long of a time later, EMTs came into the room and pushed the three aside. Hotch left the building first, his cellphone indicating his attention was needed elsewhere are the moment. Morgan got out of their way, heading down the steps to reconvene with Gideon, Elle, and Max. Cassie stayed, she stayed until they were putting the victim on a stretcher and carrying her down the steps. She helped at the transfer point, holding the right corner of the stretcher near her head. She hadn't repeated her mantras in a while, the EMTs had picked up the slack for her. Once they could begin to wheel her out, the profiler let them go.
Philly PD wanted to be the ones to make the arrest. It looked better to the news reporters already gathering outside. Cass could only hope they had enough sense to not photograph the victim as she was being taken away, but she wasn't ignorant.
"It doesn't make any sense, he was a small time creep." Max let out a breath as he spoke. Gideon blinked. "He fits your profile, the age, the background, the obsessive traits."
"Still—"
"Guys." Cass pulled a slip of paper out of the wipers of one of the rental cars. "It's.. for you," She passed it to Max.
Isn't Scott an inelegant monster. He harbors no light. He is pure evil. Balance is what produces mercy. You'll be reminded of my mercy tomorrow.
K.K.
"We didn't get him?" Everyone had started to gather now. The pause was enough to spark concern. Morgan spoke first, Gideon answered. Max was too stuck in his head, going over everything yet again. He was reliving the chase from eighteen years ago. It wasn't pretty. "He's not the one we're looking for. Form a six block perimeter, we have to have seen him."
But they hadn't. Nobody had. He had been right outside, waiting for the exact moment the police would file in like ducks after their mother. He had slipped off without anyone the wiser. The atmosphere on the way back was bleak. Everyone shared a similar sentiment of frustration. Cassie couldn't feel proud of her observations from earlier, it had only served to get off the sick freak who was orchestrating all of this. It sentenced another victim to a worse fate. The BAU's methods made her feel stagnant, like she had no more control over what was about to happen than a leaf did over the way the winds blow.
"That's got to be a first for the BAU, a killer leading us to another." Hotch commented as the made their way back to the little room they were given for mediation. "No, we all know they make the best profilers, it's how they find their own victims. It's how they think they can get away with it." The oldest would correct.
"So we're starting over. Run by it again, what do we know about the Keystone Killer?"
"He's not dead, or in jail."
"He likes playing with us, he's treating it like a game where he's controlling all of the pieces." Elle raised her head as she spoke. Then Morgan, then Reid.
"He strangled seven women in the late eighties, stopped for eighteen years, then picked it back up again. Only this time he chose to suffocate them. Ten percent of violent crimes are carried out through strangulation, it only takes eleven pounds to incapacitate a person. Hanging on for a minute longer and that person will never recover." The skinny kid's ramblings weren't bad. Cassie could admire them for what they were worth. He was smart. Probably smarter than she'd ever be. The only difference was he learned his facts through textbook, and she earned hers through practice.
"But, he suffocated his latest victim. It's actually more passive than strangulation. What Lorayne was saying earlier, he can't feel the life leave the body." Aaron reaffirmed.
"But why? Why, why, why? Why change his MO, it suggests a blitz attack, yet in the past he walks right into his victim's homes without so much as a struggle."
Cassie's face lit up, her expression almost elongating in a moment of realization. She had never finished her train of thought from before. They had been so distracted with Scott Harbin that she had just forgotten nobody else was thinking the same as she was.
"We keep talking about this as though he's doing it on purpose, but what if it's not. What if something happened that stopped him. A sole loss of confidence isn't enough for such a drastic change. He lost his confidence in his own abilities, not his means of killing. A few years ago I was on a case that involved a serial murderer, similarly to this guy's MO. Maybe a little less showy— in any case, he started to slip up when he changed. And he only changed because he had been in a supply moving accident. Lost all control of his dominate hand. Couldn't kill the way he wanted to. He found another way, but it was sloppy, witnesses were around, we caught him."
Morgan leaned against the wall where Cassie had once stood. "So it's an injury?"
"Or a stroke." Hotch looked to Reid, who shrugged his shoulders in response.
"Either one, there will have to be some sort of medical records, right?" Derek didn't really agree with Gideon. "Alright, so an accident after nineteen eighty-eight in Philidelphia, that doesn't lower our suspect pool by much at all."
"It's too many hospital records." Spencer finally answered.
"Call Garcia anyways, see what she can find." Pointing towards the exit, Gideon gestured to Morgan.
It took a few minutes for Morgan to return, he had a slanted smile. Not good, not bad. "There's a lot of records to go through. Garcia's having them sent over now."
Hotch moved towards the fax machine as it sounded off, indicating the first few pages. "Let's get started then." He'd grab a couple, pass them around, and repeat until everyone had a handful. Cassie still didn't sit with her pile, she'd let it sit off on the top of a cabinet next to her while she looked through whatever her current file was.
Morgan tossed down a few papers, a frown on his dark lips. "We're looking for a guy in his twenties, is that too early for a stroke?"
"I still think it's a possibility. We're looking for a fair amount of loss of mobility." Aaron didn't look up from his stack. Reid did however, happily explaining the statistics around strokes. Something or other, Cassie brushed it off with a laugh that sounded more from her nose than it did her mouth.
"Hm?"
Reid was staring at her now. So was Hotch and Morgan. She shook her head, biting the inner flesh of her cheek as she did so. They all went back to their own files.
Twenty-five minutes in and it felt a little hopeless. The records Garcia had given didn't narrow it down at all. Sure a few names were marked off, but then again too many to count were added. "This is taking too long. Just for a moment let's rule out strokes, what's something else that could have happened?" Cassie mimicked Morgan's earlier frustrated motion and tossed her papers down.
"A car accident would have to be filed in police records, especially if it resulted in injury, right?" Spencer tried to pick up where she was leaving off. Gideon and Max nodded.
"Back then we profiled him to have some sort of American-made sedan."
"Alright, then why don't I call Garcia back, have her cross reference sedan accidents with Philly PD records. That should narrow it down significantly with what we've established."
"It's a long shot." Ryan seemed on the verge of rolling his eyes at Morgan, a slip of a few words from Cassie halted that means of response. "It's better than nothing."
For the third time that day, Morgan would return from his little 'chat' with Garcia. Only this time he seemed a lot more proud of himself. "'Think I've got something; Walter Kern, fits our age range, military background. ROTC, Air Force, his accident happened right outside of Bromwell's address."
He passed the already printed document around. Cassie skimmed over it. He certainly looked like the type. "In his accident he lost mobility of his right side due to spinal cord and nerve damage." Veiny hands rolled up dove-white sleeves as he spoke.
Cassie watched as the invisible stick returned to the playing field. It was Hotch's turn. "He installed home alarms with, guess who, Scott Harbin."
She sought to grab it before it was taken by someone else. "That's how he could walk right in to his victim's home without issue." And as quickly as she had it, it was taken by Elle. Tapping her pencil against the paper, she'd flick it back and forth with her ring finger. "He got his major in criminology. Shows to how he was able to evade law enforcement."
And from Elle to Gideon, "Do we have an address?"
"575 Wight Street Southeast Philadelphia. Got you, you son of a bitch."
That was probably the first time Max had smiled in the day that Cass had known him. There was no time to mull over it, once again the team was up and moving. SWAT was hesitant, they had failed to catch him the first time, leniency wasn't on their side. Neither was the press.
Cass was stuck with Morgan again, Reid too, though he kept to himself in the back of the car.
"You were right."
Again she was stolen from her thoughts by the brawny driver.
"Is that shocking?"
"Well, not when you phrase it like that. I was trying to compliment you, you know."
"Oh."
"That's it?"
"No, I was trying to think of something to reference that you would understand."
"Like?"
"A philosophical quote, nothing good came to mind. That's not exactly my thing."
Reid was about to say something and Morgan had that look in his eyes through the rear view mirror, something that screamed break-check. Reid no longer had anything to say.
"What is your thing then."
"Nothing really. Oh, I guess something along the lines of I'm the Chandler to your Phoebe, though that's a bit of a stretch. I only watched a few— Nevermind."
Morgan gave a dumbfounded look, but didn't press the issue. There were bigger problems than whatever Cassie got up to in her limited free-time.
Gideon and Max took the lead on the entry of the home this time. It was almost deserved.
They knocked once.
No answer.
Twice.
No answer.
It was bordering on three when the door finally swung open. A woman in her later fourties' answered, she had short brown hair and a tired face. Makeup, jewelry, her clothes were ironed. Cassie's nose crinkled.
"This is agent Ryan with the FBI, we need to speak with your husband." The woman quickly looked away. She was sheepish, confused. She'd stutter out a response to Gideon. "He's not here."
"Do you know where he is?"
"Well, I,"
"Why don't you let us inside?"
She stuttered, again, failing to form any coherent sentence. She'd nod anyways and the team followed inside. His wife said something about volunteering at a community center. Gideon notified Hotch, to which Cassie gently pressed her fingers to his raised elbow. He looked at her, doe-like eyes squinting in confusion. She took a step back and mumbled. "Don't send everyone there. He's still intent on giving us that 'gift'." Jason looked her up and down once, then complied without saying anything in response to her.
Max had let the reason they were there slip, the murders, the seven victims.
"I'm going to have to ask you to leave, please." She didn't take very kindly to the notion. Then again no good person would. "What you're suggesting is absurd, and,"
"—I don't think you believe that Mrs. Kern." Cassie took a step closer to the woman. She was taller than her. Height helped in most cases she had been on before.
"Excuse me?"
"I don't think you believe that your husband has nothing to do with this. You're dressed awfully nice, he likes you that way doesn't he. Modest, untouchable. Though, I'm going to go out on a limb here and say that last part isn't true."
"Lorayne," Gideon warned. She should have listened, should have stopped talking. This was her first day, her first case, she had everything to lose. And yet so did an innocent girl.
"I'm guessing he has a space in the house, a room, an area, a closet, a chest youre not supposed to touch. Don't look inside of, don't even think about. If you did, Walter would get angry, wouldn't he?"
The wife took a step back. Cassie took a step forward. She looked anywhere but the agent's face. "He has a photo-room, but he only worries that I'll mess up his pictures. That's all."
"Eighteen years ago you noticed your husband fell into a depression, it seemed like it would never end. Maybe he was more irritable. You were thankful on one hand, he couldn't hit you if he wanted to. But he wasn't the same. Just a few days ago he returned back to his old self, for better and for worse."
"How do... no, what does it mean? Did he..?" Cass blew a quick puff of air out of her nose and stepped off to the side. She had said all she needed to.
"We need to see that room Mrs. Kern." She didn't miss the way Gideon followed her with a grim expression as he spoke.
SWAT was the first to clear the cellar on the left side of their home. It was cold, but well kept even from a quick glance at the stairway. Heading further into it lead to a room covered in photos, newspapers, anything relating to the case. He had a copy of the book Max had written about his experiences as an agent. He was a textbook stalker. Countless photos of past and present victims framed the steel-toned stone.
Reid flipped through a scrapbook looking binder. A collection of his killings, a story. There was a chapter missing, like he had referenced in his notes before. He wasn't finished, he had only killed Carla now because he had planned to kill her before. His accident had stopped him. It explained the extended depression. His fix wasn't just the killings, it was the perfection behind them. The consistent evasion, the methodology.
"Who's in the latest chapter then?"
"Sylvia Gooden."
Gideon stepped back into the room, he looked down at the image of the woman. "Hotch confirmed Walter left the community center an hour ago. We need Gooden's address."
Thankfully, for as much as a memorabilia fanatic he was, he included everything there was about these women. Including addresses.
The team was on the new sight as fast as possible, SWAT and Philly PD were right on their heels. It didn't take longer than a handful of seconds for them to be suited up and ready. Gideon confirmed Walter's vehicle was a block down the street. Preparations to go in were moving fast. Max raised his voice so the crowd of people could hear him.
"I want him taken in alive."
Which as fun as that sentiment was, it wasn't always a good one. They didn't have a clue what state they'd find Kern or Gooden in. Her life may come down to his. And while rotting in prison before his sentence was earned was the best possible outcome, Max needed to grapple with the fact he might not see satisfaction.
The blur of guns and combat boots breezed through the main doorway. Clearing each room was impertinent, and so was following the screams they could hear from Sylvia above. Gideon lead, followed by Morgan, Max, and Cass. Gideon trained his gun eye level before pushing open the door. There must have been eight voices, all yelling some different version of the same thing; 'Don't Move.'
Morgan detained Kern. He'd purposefully bash his side off of a full length mirror. A feasible accident excuse would work just fine. Cass made out the hand off to Max from behind her. Kern spoke of the former agent like some star crossed lover. She tried not to pay too much attention to it.
Currently calloused fingers were preoccupied in removing the plastic from Sylvia's face. She brushed her thumb against the older woman's forehead, checking to make sure the blood that was leaking was also clotting. It had already started to dry, she hadn't been hit too badly. Most likely because she had struggled too much for Kern's liking.
"Shh.. shh.. it's okay, you're okay. My name is Cassandra Lorayne, alright Miss Gooden? You're not hurt anywhere else, right?"
The blonde woman shook her head. Her body was trembling. She was sweating, her skin was clammy. It was taking her a bit longer to get the words out of her sob choked throat. Cassie didn't rush her. She'd repeat what she had done with the previous victim hours earlier. A gentle seesawing motion of her knife and the flex-cuffs were off.
"Breathe with me Miss Gooden."
She was sitting up now, her shoulders heaving with another heavy cry. Cassie moved from her kneeling position to sit beside her. She pulled the woman closer and sheltered her within her arms. "You're okay, it's over now, you're okay." And she'd repeat those words for as long as she could. As long as it took for them to feel real.
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Cassie was still getting accustomed to the whole private jet thing. It felt too classy, even if half the participants aboard had already slipped off their shoes and curled up under a blanket. Sometime she'd have to find wherever that stash of linens was. Though, for now, she was preparing herself for an earful. Gideon was moving from his seat to her end of the plane. He was at least kind enough to ensure the only one listening was Elle. To which Cassie couldn't mind too much, she felt a sort of solidarity in their methods, so hopefully the other brunette wouldn't be too abrasive in the aftermath of her scolding.
"You really think he beat her?"
"What?"
She had always been told to never play poker. Which was a sad comment given she was actually great at the game, just not great at her expressions. She could hold out in situations that called for a stern, unwavering face. But right here, right now, she was too wound up to keep her feelings to herself. Crinkled features gave a pretty good indication that she was absolutely taken aback.
"I asked a question Lorayne."
"Err, honestly? No. She didn't give away all of the signs, just some. Some is enough to incite a thought, and a thought is enough to be a fear. Even if he hadn't, she had rationalized that he could. Or, would, if she crossed a certain line."
"Alright."
"Alright?"
Gideon turned to sit down, he was done with the conversation. She'd outstretch a hand to say something else, but recoiled and changed her mind.
JJ had an open seat across from her, and Cassie would find comfort in the openness that followed.
"Have any of you been told about the time that Gideon was tricked into. . ."
So, this was her new home. For lack of a better phrase. It would take some time to fit in, and more effort still. Though, Cassie was able to let go of her fear for just a moment. It was the first time that day she had stopped thinking about the past, and hoped for the future.
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Date Posted: 04/24/24
Not Yet Proofread, too lazy :(.
Next Chapter: 05/02/24
#criminal minds#bau team#spencer reid#derek morgan#aaron hotchner#elle greenaway#jj jareau#dr spencer reid#oc#original character#multifandom account#x reader#jason gideon#hannibal lecter
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Building Blocks of Data Science: What You Need to Succeed
Embarking on a journey in data science is a thrilling endeavor that requires a combination of education, skills, and an insatiable curiosity. Choosing the Best Data Science Institute can further accelerate your journey into this thriving industry. Whether you're a seasoned professional or a newcomer to the field, here's a comprehensive guide to what is required to study data science.
1. Educational Background: Building a Solid Foundation
A strong educational foundation is the bedrock of a successful data science career. Mastery of mathematics and statistics, encompassing algebra, calculus, probability, and descriptive statistics, lays the groundwork for advanced data analysis. While a bachelor's degree in computer science, engineering, mathematics, or statistics is advantageous, data science is a field that welcomes individuals with diverse educational backgrounds.
2. Programming Skills: The Language of Data
Proficiency in programming languages is a non-negotiable skill for data scientists. Python and R stand out as the languages of choice in the data science community. Online platforms provide interactive courses, making the learning process engaging and effective.
3. Data Manipulation and Analysis: Unraveling Insights
The ability to manipulate and analyze data is at the core of data science. Familiarity with data manipulation libraries, such as Pandas in Python, is indispensable. Understanding how to clean, preprocess, and derive insights from data is a fundamental skill.
4. Database Knowledge: Harnessing Data Sources
Basic knowledge of databases and SQL is beneficial. Data scientists often need to extract and manipulate data from databases, making this skill essential for effective data handling.
5. Machine Learning Fundamentals: Unlocking Predictive Power
A foundational understanding of machine learning concepts is key. Online courses and textbooks cover supervised and unsupervised learning, various algorithms, and methods for evaluating model performance.
6. Data Visualization: Communicating Insights Effectively
Proficiency in data visualization tools like Matplotlib, Seaborn, or Tableau is valuable. The ability to convey complex findings through visuals is crucial for effective communication in data science.
7. Domain Knowledge: Bridging Business and Data
Depending on the industry, having domain-specific knowledge is advantageous. This knowledge helps data scientists contextualize their findings and make informed decisions from a business perspective.
8. Critical Thinking and Problem-Solving: The Heart of Data Science
Data scientists are, at their core, problem solvers. Developing critical thinking skills is essential for approaching problems analytically and deriving meaningful insights from data.
9. Continuous Learning: Navigating the Dynamic Landscape
The field of data science is dynamic, with new tools and techniques emerging regularly. A commitment to continuous learning and staying updated on industry trends is vital for remaining relevant in this ever-evolving field.
10. Communication Skills: Bridging the Gap
Strong communication skills, both written and verbal, are imperative for data scientists. The ability to convey complex technical findings in a comprehensible manner is crucial, especially when presenting insights to non-technical stakeholders.
11. Networking and Community Engagement: A Supportive Ecosystem
Engaging with the data science community is a valuable aspect of the learning process. Attend meetups, participate in online forums, and connect with experienced practitioners to gain insights, support, and networking opportunities.
12. Hands-On Projects: Applying Theoretical Knowledge
Application of theoretical knowledge through hands-on projects is a cornerstone of mastering data science. Building a portfolio of projects showcases practical skills and provides tangible evidence of your capabilities to potential employers.
In conclusion, the journey in data science is unique for each individual. Tailor your learning path based on your strengths, interests, and career goals. Continuous practice, real-world application, and a passion for solving complex problems will pave the way to success in the dynamic and ever-evolving field of data science. Choosing the best Data Science Courses in Chennai is a crucial step in acquiring the necessary expertise for a successful career in the evolving landscape of data science.
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Data Science Tutorial for 2025: Tools, Trends, and Techniques
Data science continues to be one of the most dynamic and high-impact fields in technology, with new tools and methodologies evolving rapidly. As we enter 2025, data science is more than just crunching numbers—it's about building intelligent systems, automating decision-making, and unlocking insights from complex data at scale.
Whether you're a beginner or a working professional looking to sharpen your skills, this tutorial will guide you through the essential tools, the latest trends, and the most effective techniques shaping data science in 2025.
What is Data Science?
At its core, data science is the interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from structured and unstructured data. It involves collecting data, cleaning and processing it, analyzing patterns, and building predictive or explanatory models.
Data scientists are problem-solvers, storytellers, and innovators. Their work influences business strategies, public policy, healthcare solutions, and even climate models.

Essential Tools for Data Science in 2025
The data science toolkit has matured significantly, with tools becoming more powerful, user-friendly, and integrated with AI. Here are the must-know tools for 2025:
1. Python 3.12+
Python remains the most widely used language in data science due to its simplicity and vast ecosystem. In 2025, the latest Python versions offer faster performance and better support for concurrency—making large-scale data operations smoother.
Popular Libraries:
Pandas: For data manipulation
NumPy: For numerical computing
Matplotlib / Seaborn / Plotly: For data visualization
Scikit-learn: For traditional machine learning
XGBoost / LightGBM: For gradient boosting models
2. JupyterLab
The evolution of the classic Jupyter Notebook, JupyterLab, is now the default environment for exploratory data analysis, allowing a modular, tabbed interface with support for terminals, text editors, and rich output.
3. Apache Spark with PySpark
Handling massive datasets? PySpark—Python’s interface to Apache Spark—is ideal for distributed data processing across clusters, now deeply integrated with cloud platforms like Databricks and Snowflake.
4. Cloud Platforms (AWS, Azure, Google Cloud)
In 2025, most data science workloads run on the cloud. Services like Amazon SageMaker, Azure Machine Learning, and Google Vertex AI simplify model training, deployment, and monitoring.
5. AutoML & No-Code Tools
Tools like DataRobot, Google AutoML, and H2O.ai now offer drag-and-drop model building and optimization. These are powerful for non-coders and help accelerate workflows for pros.
Top Data Science Trends in 2025
1. Generative AI for Data Science
With the rise of large language models (LLMs), generative AI now assists data scientists in code generation, data exploration, and feature engineering. Tools like OpenAI's ChatGPT for Code and GitHub Copilot help automate repetitive tasks.
2. Data-Centric AI
Rather than obsessing over model architecture, 2025’s best practices focus on improving the quality of data—through labeling, augmentation, and domain understanding. Clean data beats complex models.
3. MLOps Maturity
MLOps—machine learning operations—is no longer optional. In 2025, companies treat ML models like software, with versioning, monitoring, CI/CD pipelines, and reproducibility built-in from the start.
4. Explainable AI (XAI)
As AI impacts sensitive areas like finance and healthcare, transparency is crucial. Tools like SHAP, LIME, and InterpretML help data scientists explain model predictions to stakeholders and regulators.
5. Edge Data Science
With IoT devices and on-device AI becoming the norm, edge computing allows models to run in real-time on smartphones, sensors, and drones—opening new use cases from agriculture to autonomous vehicles.
Core Techniques Every Data Scientist Should Know in 2025
Whether you’re starting out or upskilling, mastering these foundational techniques is critical:
1. Data Wrangling
Before any analysis begins, data must be cleaned and reshaped. Techniques include:
Handling missing values
Normalization and standardization
Encoding categorical variables
Time series transformation
2. Exploratory Data Analysis (EDA)
EDA is about understanding your dataset through visualization and summary statistics. Use histograms, scatter plots, correlation heatmaps, and boxplots to uncover trends and outliers.
3. Machine Learning Basics
Classification (e.g., predicting if a customer will churn)
Regression (e.g., predicting house prices)
Clustering (e.g., customer segmentation)
Dimensionality Reduction (e.g., PCA, t-SNE for visualization)
4. Deep Learning (Optional but Useful)
If you're working with images, text, or audio, deep learning with TensorFlow, PyTorch, or Keras can be invaluable. Hugging Face’s transformers make it easier than ever to work with large models.
5. Model Evaluation
Learn how to assess model performance with:
Accuracy, Precision, Recall, F1 Score
ROC-AUC Curve
Cross-validation
Confusion Matrix
Final Thoughts
As we move deeper into 2025, data science tutorial continues to be an exciting blend of math, coding, and real-world impact. Whether you're analyzing customer behavior, improving healthcare diagnostics, or predicting financial markets, your toolkit and mindset will be your most valuable assets.
Start by learning the fundamentals, keep experimenting with new tools, and stay updated with emerging trends. The best data scientists aren’t just great with code—they’re lifelong learners who turn data into decisions.
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Unlock Better Grades with AI Homework Help Online
The Rise of AI Tools in Modern Education
Technology is transforming every aspect of our lives, and education is no exception. With the rapid rise of artificial intelligence, students now have access to smarter, faster, and more efficient ways to learn and complete assignments. From language translation to advanced research tools, AI is being integrated into classrooms and study routines around the globe. One of the most impressive innovations to emerge from this tech revolution is the Free Math Question solve ai tool, a groundbreaking solution helping students conquer complex math problems with ease.
These AI-powered platforms are designed not only to provide the correct answer but also to walk users through step-by-step explanations. This makes them incredibly valuable learning companions, especially for subjects like math where logic, precision, and practice are key.
Why AI-Powered Math Tools Are a Game-Changer
Solving math problems can be daunting for many students. Whether it's algebra, calculus, or statistics, the challenge often lies in understanding the process, not just reaching the solution. That's where AI tools come into play. A Free Math Question solve ai tool analyzes the input provided by the student and delivers not only the answer but also a breakdown of each step taken to arrive at it.
This approach helps students recognize patterns, understand logic, and build confidence in their problem-solving skills. Furthermore, these tools are accessible 24/7, eliminating the limitations of traditional tutoring that depend on fixed schedules and availability.
AI math solvers are also beneficial for teachers and parents. Educators can recommend them as supplementary tools for homework support, and parents can use them to help their children with assignments even if they’re not math experts themselves.
Instant Solutions: Saving Time and Reducing Stress
Today’s students are often overwhelmed with multiple assignments, extracurricular activities, and personal obligations. In this fast-paced environment, having access to Instant homework solutions online can be a lifesaver. These platforms provide rapid, accurate assistance across various subjects, allowing students to manage their workload more effectively.
Instead of spending hours stuck on a single problem or searching the web for unreliable answers, students can upload or type in their questions and receive instant guidance. This not only saves time but also reduces the stress and anxiety associated with deadlines.
The rise of online tools for instant homework support is also contributing to a more personalized learning experience. By tailoring explanations and adapting to each student’s pace, these platforms help bridge learning gaps and promote academic independence.
How These Tools Work
Most AI-driven educational platforms use natural language processing (NLP) and machine learning algorithms to interpret the user’s question. Once the question is processed, the AI scans its vast database of mathematical rules, formulas, and examples to generate a detailed solution.
Some advanced platforms even include image recognition, allowing users to upload a photo of a handwritten or printed problem. This feature is particularly useful for students who prefer working from textbooks or written notes.
A great example of such functionality can be found on platforms like www.thehomework.ai/home, where AI is used to provide quick, accurate, and easily understandable homework solutions across a wide range of subjects.
Making Learning More Accessible and Inclusive
AI homework tools are democratizing access to quality education. Students from all backgrounds, regardless of geography or financial situation, can access these tools—often for free or at minimal cost. This levels the playing field, allowing everyone to learn at their own pace and on their own schedule.
In remote or underserved areas, where tutoring services may not be readily available, these tools offer a vital resource for students striving to succeed academically. As AI continues to evolve, these tools are expected to become even more sophisticated, capable of handling increasingly complex problems and offering more nuanced educational support.
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Data Scientist vs. Data Analyst: Key Differences Explained
What is Data Analytics?
Data analytics is the process of examining raw data with the aim of drawing meaningful conclusions and informing decision-making. It involves several stages, including data collection, cleaning, transformation, analysis, interpretation, and presentation. In essence, data analytics is about turning raw numbers into actionable insights that drive business growth, improve efficiency, and solve complex problems.
By uncovering past and present trends, identifying patterns, and understanding the drivers behind certain phenomena, data analytics empowers businesses to move beyond intuition and base their decisions on solid data. Whether it’s analyzing sales figures, website traffic, or sensor data, the ultimate goal of data analytics is to provide a clear picture of the current state of affairs and guide future action.
What is a Data Scientist?
A Data Scientist is a professional who combines expertise in statistics, mathematics, and computer science to extract valuable insights from data. They use a variety of advanced techniques, including machine learning, predictive modeling, and statistical analysis, to solve complex business problems and make data-driven decisions. Data scientists are experts in working with large and unstructured datasets, and their work often involves uncovering hidden patterns and trends that can be used to drive business strategy, product development, or operational efficiency.
Data scientists are not just analysts—they are problem solvers who leverage a combination of analytical, programming, and domain-specific skills to develop models and algorithms that help organizations gain a competitive edge.
Data Analyst vs. Data Scientist: Roles and Responsibilities
While both Data Analysts and Data Scientists work with data, their roles differ in terms of their focus, methodologies, and the types of problems they address. Let’s break down the primary responsibilities of each role:
The Data Analyst: Uncovering the "What" and "Why"
A Data Analyst primarily focuses on understanding what has happened and why it happened. They delve into existing data to answer specific business questions, usually with a focus on the present or past. Their responsibilities typically include:
Data Collection and Cleaning: Gathering data from various sources, such as databases, spreadsheets, and APIs, and ensuring it is clean and accurate.
Data Wrangling and Transformation: Preparing the data for analysis by transforming it into a usable format, often involving data manipulation and aggregation.
Exploratory Data Analysis (EDA): Analyzing data to identify patterns, trends, and anomalies using statistical methods and visualization techniques.
Developing and Maintaining Databases: Designing and maintaining efficient data storage systems for easy access and retrieval.
Generating Reports and Dashboards: Creating clear, concise reports and dashboards to communicate findings to stakeholders.
Answering Business Questions: Using data to respond to business inquiries and provide data-driven answers to decision-makers.
Identifying Key Performance Indicators (KPIs): Defining and tracking metrics to assess business performance and pinpoint areas for improvement.
The Data Scientist: Predicting the "What Next" and Building Solutions
On the other hand, a Data Scientist takes a more forward-looking approach. Their role goes beyond understanding the past and present to predicting future outcomes and solving complex business problems using advanced tools and techniques. Their responsibilities typically include:
Identifying Business Problems: Collaborating with stakeholders to translate complex business challenges into data science problems.
Designing and Implementing Machine Learning Models: Developing predictive models and algorithms that forecast trends, automate processes, and personalize experiences.
Statistical Modeling and Hypothesis Testing: Using advanced statistical techniques to validate hypotheses and build robust models.
Working with Big Data Technologies: Leveraging tools like Hadoop, Spark, and cloud computing platforms to process and manage large datasets.
Feature Engineering: Creating relevant features from existing data to enhance the performance of machine learning models.
Model Evaluation and Deployment: Testing models for accuracy and deploying them into real-world systems for practical use.
Communicating Complex Findings: Presenting data science insights and model outputs to both technical and non-technical audiences.
Research and Innovation: Keeping up-to-date with the latest advancements in data science and experimenting with new techniques to address evolving business needs.
Data Science vs. Data Analytics: Key Differences
Let’s take a closer look at the key differences between Data Science and Data Analytics.FeatureData AnalystData ScientistPrimary FocusUnderstanding past and present dataPredicting future trends and solving complex problemsTypical Questions"What happened?" "Why did it happen?""What will happen?" "How can we make it happen?"Analytical TechniquesStatistical analysis, data visualization, reportingMachine learning, statistical modeling, algorithm developmentData ComplexityWorks with structured data and well-defined problemsDeals with unstructured or semi-structured data and ambiguous problemsTools & TechnologiesSQL, Excel, statistical software (e.g., R, SPSS), BI tools (e.g., Tableau, Power BI), basic scripting (Python)Python (SciPy, Scikit-learn, TensorFlow, PyTorch), R, SQL, big data technologies (e.g., Hadoop, Spark), cloud platformsProgramming SkillsProficiency in SQL, basic scripting in Python or RStrong programming skills in Python or R, expertise in machine learning librariesModeling EmphasisBasic statistical modeling and interpretationAdvanced statistical modeling, machine learning model building and evaluation
Data Analyst vs. Data Scientist: Skill Comparison
The roles require different skill sets due to their contrasting focus and responsibilities. Here’s a comparison of the essential skills needed for each role:Skill CategoryData AnalystData ScientistTechnical SkillsSQL, Excel, data visualization tools (Tableau, Power BI), statistical software, basic scripting (Python/R)Strong programming (Python/R), machine learning, statistical modeling, big data technologies, cloud computingAnalytical SkillsStrong statistical reasoning, data interpretation, problem-solvingAdvanced statistical and mathematical skills, critical thinking, experimental designBusiness AcumenUnderstanding of business context and data needsDeep understanding of business problems and ability to translate them into data science solutionsCommunicationExcellent data storytelling and visualization skillsAbility to explain complex technical concepts to non-technical audiencesDomain ExpertiseVaries depending on the industryOften requires deep domain knowledge in specific areas
Choosing Between a Data Analytics and Data Science Career
The decision to pursue a career in Data Analytics or Data Science largely depends on your personal interests, skills, and long-term career goals. Each field has its own strengths and opportunities. To make an informed choice, let’s break down the considerations for each path.
Consider a Career in Data Analytics if:
You enjoy working with structured data to answer specific business questions.
You’re passionate about uncovering insights from existing data and communicating them effectively to stakeholders.
You have a strong aptitude for statistical analysis and are comfortable using tools like SQL and Business Intelligence platforms (e.g., Tableau, Power BI).
You want a role with a direct and immediate impact on business decisions, often through reports, dashboards, or actionable insights.
You’re looking for a career with more accessible entry-level opportunities, where you can get started quickly without requiring deep programming knowledge.
Consider a Career in Data Science if:
You’re fascinated by machine learning, predictive modeling, and solving complex, open-ended problems.
You have a strong foundation in mathematics, statistics, and programming and enjoy the technical aspects of data.
You love building and deploying sophisticated analytical solutions using tools like Python, R, and machine learning libraries (e.g., TensorFlow, Scikit-learn).
You’re comfortable working with large and often unstructured datasets, and have experience handling big data challenges.
You’re driven by research and innovation, always looking for ways to push boundaries and tackle challenging analytical problems that require deep thought and creativity.
Data Analyst vs. Data Scientist: Education and Work Experience
Data Analyst:
Education: A Bachelor’s degree in a quantitative field such as statistics, mathematics, economics, or computer science.
Certifications: Relevant certifications in data analysis tools like Tableau, Power BI, and practical experience gained through internships or entry-level positions.
Data Scientist:
Education: A Master’s or Ph.D. in a quantitative field with a focus on statistics, machine learning, or computer science.
Experience: Significant experience in data analysis, statistical modeling, and programming. A strong portfolio of data science projects and research experience is often essential.
Final Thoughts: Which Role Is Right for You?
Both Data Analysts and Data Scientists play crucial roles in helping organizations leverage the power of data. Understanding their distinct responsibilities, required skills, and career paths is essential for both businesses seeking to build effective data teams and individuals aspiring to a career in this exciting field. By considering your personal interests, strengths, and long-term goals, you can decide which role aligns best with your aspirations.
Conclusion
In the world of data-driven decision-making, both Data Analysts and Data Scientists play pivotal roles in unlocking the value of data. While the Data Analyst focuses on understanding and interpreting historical data to answer specific business questions, the Data Scientist takes a more forward-thinking approach, using advanced algorithms and predictive models to forecast future trends and solve complex problems.
Choosing between a career in Data Analytics or Data Science depends on your interests, skill set, and career aspirations. If you enjoy working with structured data to uncover insights and make immediate business impacts, Data Analytics may be the right path for you. On the other hand, if you’re fascinated by machine learning, statistical modeling, and solving open-ended problems, a career as a Data Scientist could offer you more challenges and innovation opportunities.
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