#data science learning path

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[insightfultake]

Why Computing and Data Science Careers Are the Smartest Bet for Job Aspirants in 2025

In an age where automation is reshaping industries and artificial intelligence is no longer science fiction, careers in computing and data science have emerged as some of the most future-proof and financially rewarding options for job seekers. From building intelligent applications to unlocking hidden insights in big data, professionals equipped with digital skills are becoming indispensable across sectors like finance, healthcare, defence, agriculture, and retail.

[impacteers]

Firstly, what is Learning Path?

A learning path in Impacteers is a structured sequence of educational steps or stages designed to help individuals acquire knowledge, skills, or competencies in a specific area. It outlines a clear progression from beginner to advanced levels, providing a roadmap for learning that includes resources, activities, and milestones.

Crafting a structured career plan can be daunting without a clear roadmap but leveraging a learning path can simplify this process significantly. A learning path provides a step-by-step framework for acquiring the skills and knowledge needed to achieve career goals.

By mapping out your career ambitions and breaking them down into actionable stages, you can systematically progress from entry-level positions to advanced roles. Start by defining your long-term career objectives and identify the core competencies required for your target job. Next, structure your learning path to include foundational courses, practical experiences, and advanced training tailored to these competencies.

Data scientist Learning Path:

For example, if you aspire to be a data scientist, you’re learning path might include stages like mastering statistics, learning programming languages, and undertaking data analysis projects. Additionally, incorporating feedback loops and assessments along the way ensures you stay on track and make necessary adjustments. This methodical approach not only enhances your expertise but also makes your career development more manageable and less overwhelming.

For More career path, Click Here

[diptisinghblog]

The Fundamentals of Data Science: An Introduction for Aspiring Data Scientists

Embark on a journey into the dynamic world of data science, where insights from big data drive innovation and decision-making across industries. Discover the fundamentals of data science, from data collection and exploratory analysis to machine learning and data visualization, and unlock a world of lucrative career opportunities in this high-demand field...

[amnhnyc]

🚀 A new Hayden Planetarium Space Show, narrated by Pedro Pascal, is opening June 9! In Encounters in the Milky Way, you’ll get a front-row seat to spectacular moments in our solar system's past and future, including the paths of stars, comets, interstellar debris, and visually stunning gas and dust clouds. 

🌌 Developed by a team that includes astronomers, science visualization experts, and artists, Encounters in the Milky Way is made possible by data from one of the most transformative projects of the past century: the European Space Agency's Gaia mission, dubbed the "billion-star survey" for mapping the precise positions, distances, and motions of nearly 2 billion stars in our galaxy.

🔗 Learn more.

[nasa]

Student Experiments Soar!

Have you ever wondered what it takes to get a technology ready for space? The NASA TechRise Student Challenge gives middle and high school students a chance to do just that – team up with their classmates to design an original science or technology project and bring that idea to life as a payload on a suborbital vehicle.

Since March 2021, with the help of teachers and technical advisors, students across the country have dreamed up experiments with the potential to impact space exploration and collect data about our planet.

So far, more than 180 TechRise experiments have flown on suborbital vehicles that expose them to the conditions of space. Flight testing is a big step along the path of space technology development and scientific discovery.

The 2023-2024 TechRise Challenge flight tests took place this summer, with 60 student teams selected to fly their experiments on one of two commercial suborbital flight platforms: a high-altitude balloon operated by World View, or the Xodiac rocket-powered lander operated by Astrobotic. Xodiac flew over the company’s Lunar Surface Proving Ground — a test field designed to simulate the Moon’s surface — in Mojave, California, while World View’s high-altitude balloon launched out of Page, Arizona.

Here are four innovative TechRise experiments built by students and tested aboard NASA-supported flights this summer:

1. Oobleck Reaches the Skies

Oobleck, which gets its name from Dr. Seuss, is a mixture of cornstarch and water that behaves as both a liquid and a solid. Inspired by in-class science experiments, high school students at Colegio Otoqui in Bayomón, Puerto Rico, tested how Oobleck’s properties at 80,000 feet aboard a high-altitude balloon are different from those on Earth’s surface. Using sensors and the organic elements to create Oobleck, students aimed to collect data on the fluid under different conditions to determine if it could be used as a system for impact absorption.

2. Terrestrial Magnetic Field

Middle school students at Phillips Academy International Baccalaureate School in Birmingham, Alabama, tested the Earth’s magnetic field strength during the ascent, float, and descent of the high-altitude balloon. The team hypothesized the magnetic field strength decreases as the distance from Earth’s surface increases.

3. Rocket Lander Flame Experiment

To understand the impact of dust, rocks, and other materials kicked up by a rocket plume when landing on the Moon, middle school students at Cliff Valley School in Atlanta, Georgia, tested the vibrations of the Xodiac rocket-powered lander using CO2 and vibration sensors. The team also used infrared (thermal) and visual light cameras to attempt to detect the hazards produced by the rocket plume on the simulated lunar surface, which is important to ensure a safe landing.

4. Rocket Navigation

Middle and high school students at Tiospaye Topa School in LaPlant, South Dakota, developed an experiment to track motion data with the help of a GPS tracker and magnetic radar. Using data from the rocket-powered lander flight, the team will create a map of the flight path as well as the magnetic field of the terrain. The students plan to use their map to explore developing their own rocket navigation system.

The 2024-2025 TechRise Challenge is now accepting proposals for technology and science to be tested on a high-altitude balloon! Not only does TechRise offer hands-on experience in a live testing scenario, but it also provides an opportunity to learn about teamwork, project management, and other real-world skills.

“The TechRise Challenge was a truly remarkable journey for our team,” said Roshni Ismail, the team lead and educator at Cliff Valley School. “Watching them transform through the discovery of new skills, problem-solving together while being driven by the chance of flying their creation on a [rocket-powered lander] with NASA has been exhilarating. They challenged themselves to learn through trial and error and worked long hours to overcome every obstacle. We are very grateful for this opportunity.”

Are you ready to bring your experiment design to the launchpad? If you are a sixth to 12th grade student, you can make a team under the guidance of an educator and submit your experiment ideas by November 1. Get ready to create!

Make sure to follow us on Tumblr for your regular dose of space!

[astrologydray]

♊️Gemini Mc in the each of the degrees🎭

If you have a Gemini Midheaven (MC), your career and public image are influenced by Gemini’s themes of communication, versatility, and intellectual curiosity. You may thrive in fields involving writing, media, technology, teaching, or sales.

• 0° Gemini (Gemini Point) – A natural communicator and intellectual. Could excel in media, journalism, or public speaking.

• 1° Gemini – Highly curious and adaptable. May pursue multiple careers or work in fast-paced industries.

• 2° Gemini – An engaging storyteller; could thrive in writing, publishing, or broadcasting.

• 3° Gemini – A quick thinker with a sharp mind. Prefers intellectually stimulating careers.

• 4° Gemini – Strong networking abilities. Success comes from making the right connections.

• 5° Gemini – A master of multitasking. Likely to have a career with variety and movement.

• 6° Gemini – Drawn to education, research, or public relations. A natural teacher or speaker.

• 7° Gemini – A witty and persuasive communicator; may succeed in sales or advertising.

• 8° Gemini – Talented with words. Could excel in writing, copywriting, or language-based work.

• 9° Gemini – A restless and curious mind. May struggle with career stability but excels in learning.

• 10° Gemini – Highly sociable; could be a media personality, influencer, or journalist.

• 11° Gemini – Gifted in technology or digital communication. Could work in social media, IT, or AI fields.

• 12° Gemini – Strong intuition for trends and information. Could thrive in consulting or marketing.

• 13° Gemini – A strong need for intellectual independence. Prefers freelance or flexible career paths.

• 14° Gemini – Charismatic and persuasive; a great public speaker or negotiator.

• 15° Gemini – Quick-witted and sharp. Could thrive in legal work, politics, or academia.

• 16° Gemini – Adaptable but needs to focus on long-term career goals. May switch jobs frequently.

• 17° Gemini – A highly creative mind. Could excel in advertising, writing, or entertainment.

• 18° Gemini – A gifted mimic. Could be successful in acting, voice work, or linguistics.

• 19° Gemini – Intellectually restless; needs a career that keeps them mentally engaged.

• 20° Gemini – Naturally persuasive and influential. Could thrive in leadership or media roles.

• 21° Gemini – Highly analytical; may be drawn to careers in data analysis, research, or science.

• 22° Gemini – A master of adaptation. Could work in multiple fields or juggle side hustles.

• 23° Gemini – A strong love for debate and discussion. May be drawn to law or philosophy.

• 24° Gemini – A creative storyteller. Success in journalism, screenwriting, or podcasting.

• 25° Gemini – Exceptionally sharp and quick-thinking; could be drawn to stock trading or strategic consulting.

• 26° Gemini – A love for teaching and sharing knowledge. Could be a professor, coach, or mentor.

• 27° Gemini – Highly independent; prefers self-employment or careers with autonomy.

• 28° Gemini – A media-savvy individual. Likely to gain public recognition through words or ideas.

• 29° Gemini (Anaretic Degree) – A master communicator with an intense drive for knowledge. Could become famous for their intellect, writing, or public speaking. However, they may struggle with indecision or restlessness in their career path.

[alltoomaples]

Speed of Science🧬💻💌

I'm dating a STEM girlie and you're not (F1 Edition)

a/n: and im baaaaaacccckkkkk (like anyone even missed me lmao) with the long overdue request! life of a postgrad StEm girlie here and the struggle is really realll af. but besides that, I'm writing this down as a headcanon for the drivers requested on this poll i had posted long back here. I've always wondered how there's soo minimal povs/ocs where they are a scientific researcher, analyst, etc. sooo i dedicate this one to all the STEM F1 girlies out theree <33

alsoo quick shoutout to my girlieee @smoooothoperator for inspiring and motivating me to get back at writing!🥹🫶🏼 check out her lastest ongoing work 'What Was I Made For? ' its amazing and thats a FACT!! do check her works! its absolutely amazing❤️

check out my works: until i found you masterlist | other works

Scientific Art Illustrator - Charles Leclerc

As a Scientific Art Illustrator, you specialize in creating visually captivating and scientifically accurate illustrations that depict complex biological, astronomical, or technological subjects.

Charles first discovered you through your works at an exhibition where their stunning illustrations of Formula 1 cars caught his eye. Impressed by their attention to detail and artistic talent, they struck up a conversation about their mutual love for precision and creativity.

During a peaceful weekend afternoon, Charles suggests a spontaneous visit to a local art supply store. Excitedly exploring aisles stocked with vibrant paints, fine brushes, and specialized papers, the two of you engage in discussions about artistic techniques and innovative tools. Amidst laughter and shared enthusiasm for creativity, you bond over your mutual appreciation for the intricacies of art and science, making the afternoon a cherished memory of their shared passions.

After being away from home during race season, Charles always finds a framed series of sketches by you for the races you couldn't make it, capturing his most memorable racing moments. Each sketch is intricately detailed, depicting not only the speed and intensity of the races but also the emotions and determination etched on Charles' face. Touched by the thoughtful gesture, Charles hangs the sketches in his study, a constant reminder of your support and admiration for his passion.

...

Data Scientist - Lando Norris

A Data Scientist specializes in analyzing large volumes of data using statistical methods and machine learning techniques to extract insights and make data-driven decisions.

You and Lando first connected through a mutual fascination with racing data at a technology symposium focused on sports analytics. Your presentation on advanced predictive modelling in motorsports caught Lando's attention for its innovative approach to enhancing race strategies.

During a cosy evening at home, Lando playfully challenges you to a friendly data analysis competition using real-time telemetry from previous races. Their banter and shared excitement over dissecting racing data create a lighthearted and memorable bonding experience.

You two would watch old races and analyze historical racing data together, playfully debating optimal pit stop strategies and analyzing driver performance trends, their shared passion for racing and data fostering a deep connection and mutual admiration.

...

Oceanographer/Marine Biologist - Oscar Piastri

An Oceanographer or Marine Biologist studies marine life, ecosystems, and ocean processes to understand and protect marine environments and resources.

You and Oscar crossed paths during a research expedition to study coral reefs in a remote location. Your expertise in marine biology and passion for conservation impressed Oscar, sparking their connection.

Amidst the hectic F1 season, Oscar surprises you with a weekend getaway to a coastal retreat, where they explore tide pools and participate in a beach cleanup together, reaffirming their commitment to environmental stewardship.

You gave Oscar a custom-made charm bracelet featuring miniature charms of marine animals they've discussed during their beach walks and conservation talks. Each charm represents a meaningful moment in their relationship, from their first discussion about oceanography to their shared admiration for marine life. Oscar wears the bracelet during race weekends as a reminder of you and all the love and support you give, both on and off the track.

...

Mechanical Engineer - Daniel Riccardo

You are a passionate Mechanical Engineer, specializing in advanced automotive design and performance optimization.

Daniel first encountered you at a technical conference organized by one of the team sponsors where you presented groundbreaking research on aerodynamic innovations that caught his attention.

Often, while you meticulously draft engineering schematics at their home office, he makes sure that you have your "engineering emergency kit" beside your workstation, which is a tray of snacks and their favourite coffee – ensuring they're fueled for their late-night brainstorming sessions. For when he's away for races, he stacks them up with small cute notes.

Before Daniel heads to a crucial race, you surprise him with a meticulously crafted miniature replica of his race car, complete with detailed decals and a personalized message of encouragement engraved on the base. Touched by the thoughtful gesture, Daniel proudly displays it in his motorhome, a reminder of the reader's unwavering support both on and off the track.

...

Statistician - George Russell

A Statistician specializes in collecting, analyzing, and interpreting numerical data to help organizations and individuals make informed decisions.

You and Russell first crossed paths during a university seminar on advanced statistical modeling in sports. Your insightful analysis of Formula 1 race data caught George's attention, sparking a lively discussion that led to mutual admiration for each other's analytical skills and shared passion for racing statistics.

During a particularly demanding race weekend, the reader surprises George with a meticulously prepared statistical analysis report highlighting his strengths and areas for improvement based on recent race data. This thoughtful gesture boosts George's confidence and motivation, showing the reader's support in his pursuit of excellence.

During a weekend getaway, you guys stumble upon a local go-kart track. George, always up for a challenge, suggests they have a friendly race. Knowing George's competitive spirit, you secretly calculate his optimal strategy and surprise him by winning with a perfectly executed last-minute overtaking maneuver. George is impressed by the your strategic thinking and playfulness, and they share a lighthearted and joyous moment celebrating their shared love for racing and friendly competition.

...

Astrophysicist - Logan Sargeant

An Astrophysicist studies the physical properties, behavior, and evolution of celestial objects such as stars, planets, galaxies, and the universe as a whole, using principles of physics and astronomy.

Logan and you first crossed paths during an expedition to study a rare astronomical event—a comet passing close to Earth. Both passionate about astrophysics, you found yourselves sharing a telescope at a remote observatory, marveling at the comet's beauty and discussing its celestial significance late into the night. Their shared awe and intellectual connection sparked a mutual admiration that grew into a deep bond over their shared passion for exploring the wonders of the cosmos.

During a quiet evening at home, Logan excitedly shows you a new telescope he acquired for stargazing during race weekends, expressing his eagerness to learn more about the cosmos together and sharing their enthusiasm for both racing and astrophysics in equal measure.

Before a critical race weekend, the reader surprises Logan with a personalized star chart that maps out the night sky above the upcoming race venue during the race weekend. Each star on the chart is marked with a heartfelt message of encouragement, reminding Logan of their unwavering support and belief in his abilities on and off the track. Touched by the thoughtful gesture, Logan treasures the star chart as a symbol of the reader's love and encouragement throughout his racing career.

...

Climate Scientist - Lance Stroll

A Climate Scientist studies climate patterns, environmental changes, and their impacts on Earth's ecosystems, using data analysis and modeling to understand and address global climate challenges.

Lance crossed paths with you at an eco-friendly racing event where Lance was advocating for sustainable practices in motorsport. Being a respected climate scientist, you caught Lance's attention with your insightful presentation on the environmental impact of racing and innovative solutions for reducing carbon footprints in the sport. Their shared passion for sustainability sparked an immediate connection and admiration for each other's dedication to making a positive impact on the environment.

One weekend, Lance surprises you with a homemade dinner featuring sustainably sourced ingredients, proudly showcasing his culinary skills while discussing ways to reduce your carbon footprint. His earnest commitment to sustainability and your shared vision for a healthier planet melts your heart, making this a cherished moment you both treasure.

You, being deeply involved in climate science, often spends late nights analyzing data or writing research papers. One evening, Lance bring him a cozy blanket and a mug of your favorite hot beverage, quietly sitting beside him as he works. You look up from your laptop, touched by his thoughtfulness, and pulls him into a warm embrace, grateful for his unwavering support and understanding of your demanding but vital work.

...

taglist: @lndonrris @thatgirlmj @lwstuff @dannyramirezwife-f1dump @moonypixel tysm for your suggestions! apologies on taking this long to write😅🫶🏼

a/n: hope y'all enjoyed reading this! this was my first time writing a headcanon and for f1 drivers beside charles and lando so hope i did justice to all.

i'm being wanting to read some good domestic bliss, sweet, adorable and lovey dovey blurbs, fics of lando (i talked abt it here) soo maybe i'll work on some drafts at some point cause i'm currently in the middle of project work of my masters degree soo don't know when i'll be posting soo until next time, see yaaa and going back to read mode 👋💓✨️

check out my works: until i found you masterlist | other works

[prettyboysdontlookatexplosions]

ok i do have one thing to get off my chest that has been uhhhh made more acutely irritating by bleak house discourse but preexists it and extends way beyond it. there's this really really really annoying thing that people do when they have like had their minds totally blown by someone telling them the most 101 basic ways to "critique" a study and/or its design, and also have been really (understandably i guess) activated by e.g. bad health journalism that loves to sensationalize or make unreasonable claims based on a single study, where now like... whenever they encounter any study (well not actually any study. any study whose conclusions they disagree with lmao), they immediately jump to LMAO LOOK AT THIS TINY ASS SAMPLE SIZE! THIS IS JUST ONE STUDY! CORRELATION IS NOT CAUSATION! CAN YOU BELIEVE THESE STUPID RESEARCHERS DID XYZ? NO CONTROL GROUP! NOT A RANDOMIZED EXPERIMENTAL TRIAL! I CAN'T BELIEVE THESE IDIOTS GOT THIS BULLSHIT PUBLISHED!

and like... is there a lot of dumb bullshit research published? sure, at least in some fields (replication crisis alert... but like i feel like the kids in materials science are probably doing better?) but the appropriate response to that is like... developing a nuanced framework in which any individual study is a single attempt to contribute to a larger body of knowledge that should be assessed in that context. it is not just looking at any finding that crosses your path and assuming (1) the researchers didn't understand or didn't care about the limitations of their study design and (2) any study "flaws" - which certainly any study in the social sciences or social-adjacent sciences will have because humans are complex - mean a study is totally worthless. that is, sorry, anti-intellectual. i don't think the people who do this consciously realize that they are, implicitly, arguing against the entire project of learning anything about human beings and their functioning ever... but they are. because there's no way to study human beings that is not flawed. if you throw out any study that is flawed, you throw out the whole endeavor. and, it would really shock some people to hear this, but at least some of the people who spend their entire lives researching human beings... know this. they know that learning about humans requires taking a lot of imperfect raw data and carefully considering how to interpret it. some of them actually do know this!!!! i promise!!!!! nobody better understands the fallibilities of statistics than a statistician. and yet, statisticians have not en masse abandoned their careers... they simply understand that what they're doing is complicated and never going to be perfect.

anyway. this is a major factor in why maintenance phase became totally unlistenable to me after a while... i simply could not take their ongoing "lmao, look at this dipshit researcher," especially since they are sooooooooo blatantly hypocritical about not holding up things they want to use in support of their own arguments to the same level of scrutiny. (one example that really made me insane... they had a whole episode about how 2000 calories a day is a random arbitrary number not reflective of human needs etc.... but then when they were doing an episode about some high-fiber fad diet aubrey was like "and the amount of fiber recommended was way higher than the FDA's [or whatever agency i'm not looking it up] recommended amount!!!!" oh... now we trust government recommendations? fuck off lmao) (i'm not simping for 2000 calories i just thought that was like sincerely quite egregious and made her look stupid as hell. to be clear michael also does this and it also makes him look stupid but i can't think of any michael examples because i haven't listened in years and this one was so transparent it's what stuck with me.) and like, it's annoying because it's annoying when people who aren't that smart act like they're way smarter than everyone else in the world, but it also matters because like... they tend to dismiss population studies out of hand because Too Many Factors, but population studies are what first pointed to the association between cigarettes and lung cancer - an association later investigated with other analytic tools, but for which, guess what, there has still never been a randomized control trial, because that would be evil. like, i'm sure that the lung researchers of the 1940s knew that correlation doesn't equal causation... but wow thank god they didn't follow that up with "so, basically this is probably worthless, nothing to see here"! assuming you know better than any study before you've even read it is literally anti-science and honestly not that far from how people wind up on the anti-vax train (including in the way that it rests on the assumption that it's probably pretty easy for the lay person to wade through statistical analysis in a specialized field and decide if it's good or not - no! it's not easy!). (cigarette history link)

this has been on my mind again with bleak house discourse because i have had to restrain myself about 1 million times from saying to someone, no fucking shit it's a single imperfect study, you sophomoric dickwad. i'm really not sure how you read that post, which was pretty measured in its appreciation of the study and also very explicitly drew on my firsthand professional experience, and assume that i need to be lectured to about taking every single word of a single small study as gospel... unless you are walking around the world smugly convinced that you are the first person in history to whom it has ever occurred to "question the design of a study" (as opposed to, say, take note of the pros and cons of the study design and think about what implications its limitations may have for interpreting its data and for future study). like... i have spent almost a decade thinking about these topics near-constantly... i would not describe myself as well-versed in the literature of ilteracy but i have DEFINITELY!!!! read more about it than any of these motherfuckers... but sure. i need some really big brained person to sit me down and explain to me that, omg, there were only 80 participants! why are you attacking all college students in america with such a Small Sample Size!!!! why would you have them talk out loud about the text they were reading? wouldn't it be better to have them answer questions at the end (which they did lol) or write their summaries (which would be complicated by the intersection with writing skills lol) or Some Other Imaginary Methodology That We All Definitely Would Accept As Valid Instead Of Also Instantly Condemning Because It Cannot Perfectly Capture Every Nuance Of Human Cognition? like of course one should [alec baldwin in glengarry glenn ross voice] always be critical. but parroting things you have learned sound like critical thinking isn't actually critical thinking. and drawing a hard binary between "true" and "false" in a realm of research that is much more complicated than that... is not critical thinking. it actually is just making it impossible for anyone to say anything about the topic ever lol.

and again... is this really personally annoying for Me, Personally? yes. yes it is. do i find it a really astonishingly unattractive personality trait? oh yeah. big time. but! this matters, in this case, beyond me being a hater, because, like, that thing i said above, about how all human-related studies are inherently always going to be flawed? that goes about six billion times for education. education is unbelievably difficult to study. it's a dark land of confounding variables and minuscule effect sizes. every education study in the world is going to be flawed. all of them! so to look at study, deem it flawed, and determine that therefore it has nothing we can learn from... is like really really literally, in the world of ed shit, to say, fuck it, just go based on vibes. which... has not served the profession well, to say the least.

(i swear to fucking god some people would read the second shift and be like, ok but hochschild only talked to 12 couples? lmao what kind of sample size is that... obviously her in depth interviews have no value compared to administering 500000 questionnaires that we would then nitpick for being insufficiently unambiguous in wording. basically this book has nothing to teach us about the distribution of domestic labor in heterosexual partnerships, which means i never have to think about this topic again since it's made up and doesn't matter!)

[rwac96]

Science, The Greatest Weapon (Sonic x Transformers Crossover)

"Can you hear me?" Doctor Ivo Robotnik says to the specimen, sporting an eerie, wide grin. "I know you can hear me. You're not my first UFO, and from what I discovered from your amazing mind, you certainly won't be the last."

The rotund, mustached scientist cackled as he sat in his chair, his gaze focused on the subject before him. Ivo was a roboticist; he presented it well through his creations, even if the people reviled them. Even if they're destroyed by that accursed blue hedgehog. Robotnik stroked his greying, auburn mustache, chuckling lowly. Not too long ago, after the Star Fall Isles incident, one of his Badniks alerted him to an intriguing discovery in the outskirts of Holoska. Using a squadron of Badniks, led by Metal Sonic, he had the specimen teleported to one of the undiscovered bunkers he had on Earth. For weeks, he had attempted to get his discovery to share what he knew, but he refused. Robotnik was met with threats of violence and vows to 'burn down this miserable mudball'. From his past experiences with aliens, they prove to have no manners.

"During each of our sessions, you proved to be quite the unruly and volatile subject," Ivo says, separating his gloved hands from one another, reaching for one of the square buttons on his red & white coat.

"I was trying to be polite. After all, it's not every day that my Badniks discover a true Living Machine. After every session, I reviewed my findings and compared them to my technology. I must admit, from the scattered bits of data I got from your head, your people are more advanced than I. I am quite thankful I found a fun way to rip out those secrets from your soul."

With the press of a button, Robotnik's specimen yelled in complete pain and agony as volts of electricity coursed through its very being. One of its red eyes widened, its mouth opening, revealing teeth. The prisoner jolted upward as the obese doctor cackled with glee. Then, Ivo moves his finger from the button, shutting down the electricity, causing the subject to hang its head low once more.

"Your sacrifice has shown me there are other energy signatures that have arrived on Earth," Robotnik said with glee, turning his chair to the images on his monitors: robotic warriors battling each other. "Similar to yours. My Badniks will track them down, and I will learn about this energy that fuels you."

Ivo rises from his seat, approaches his computer, and retrieves a small, glowing, cyan cube. The mustached terrorist picks up the substance, placing it in a lead-lined suitcase. "It doesn't merely power technology," Robotnik observes, gazing down at the cube with wonder, his brilliant and twisted mind thinking of means to wield this 'Energon'. "It transforms it."

"I am on the verge of unlocking its secrets." Ivo closed the suitcase, shifting his gaze back to the subject, "When I successfully do, I will use it on my machines, elevating them to grand heights." He laughed, lifting up the suitcase and turning away from his prisoner.

"I must thank you, Specimen," Robotnik said, beginning his trek toward the large double doors. "With your sacrifice, the Eggman Empire will be unstoppable. I will lead a new and more powerful takeover, and no force on Earth, or any other world," he turns one last time to the armless subject, "will be able to stop me." He turns his head back to his path and resumes walking. "Not even that annoying blue rodent Sonic will be able to stand against me this time."

Doctor Ivo "Eggman" Robotnik cackled loudly as he exited the large lab, planning to use this new energy source to fuel his army, to take over the world once more, and to kill his sworn enemy, Sonic the Hedgehog.

---

As the large doors shut, Megatron stayed silent, even after what felt like the twentieth or twenty-first electric shock he had endured from this Robotnik insect. Even as the obese cretin dug around his mind with his primitive drones, his thoughts were occupied with revenge. Revenge against Optimus Prime, revenge against the traitorous Starscream whose assassination attempt had led him to land on this rock and held prisoner. He thought of vengeance against the mustache fool who sought to use their precious Energon in his grandeur of delusion. From the latest 'conversation' Megatron endured with the power-hungry wretch, it seemed more Cybertronians had arrived here, most likely his warriors- and his hated enemies. It seems his imprisonment will not last forever, should his more loyal soldiers find him or he finds one slip up in the fool's defenses.

"Starscream," Megatron said with hatred, "Optimus Prime, Robotnik, I shall be avenged."

Megatron's memory processor, though violated by the rotund lunatic, was flooded with flashes of the previous battle before his current predicament. Leading his Decepticons on an assault upon the Human-Made Collider, the hated Autobots arriving and battling to defend the fleshlings, he and Optimus colliding again, and he close to snuffing out Prime's spark once and for all. But, that damnable Energon Axe, he chopped off his fusion cannon arm, kicking him towards the portal, which grew unstable. Before the flash of light, he saw the duplicitous Starscream, aiming his null ray cannon at his face.

When he gets free of this prison, retribution shall come to them all. Starscream, the traitor, will be severely and brutally punished. Robotnik, the fleshing who held him prisoner, he will personally see to his death. Lastly, Optimus Prime, Megatron will slay his precious Autobots and then cut down his hated enemy.

"I shall rise again."

[jadagul]

I am spectacularly offended by this Matt Levine reader email about using astrology in consumer finance prediction.

This was a machine learning model – the job of the data scientist was, put everything in, see what's significant, of that discard everything that's discriminatory, the rest is your model. Ultimately with twelve astrological signs it's over 50/50 that one will come out significant at 95%. I thought it was elegant. "Astrological signs? Do you believe that?" my boss said. I said it wasn't a question of belief, I was a statistician and was going to follow the numbers rather than letting anyone's preexisting theories about the stars and planets influence the data science. I think he believed that meant I'd agreed to take it out.

Like, the guy literally said "We're very likely to have a false positive here by chance, but since we got one we have to take it seriously. I'm a statistician."

He's fully aware that he's p-hacking and garden-pathing. He's fully aware of the multiple comparisons problem. And then he endorses the conclusion anyway!

(And, as a side note, it's not over 50/50; If you do twelve tests the chance of one coming out significant by chance is about 46%. So he fucked up the arithmetic too!)

[bardic-tales]

Day 11 | Diana Ravenscroft | Day 13

31 days of FF 7 Headcanons: Day 12: First Encounter with Sephiroth

Today’s exploration explores the first documented interaction between Diana Ravenscroft and Sephiroth during her early years in Shinra’s Science Department. This clinical meeting marked the beginning of a deeply asymmetrical dynamic. It is one rooted not in relationship, but in observation, data extraction, and scientific ambition.

Diana did not see a person when she looked at Sephiroth. She saw a living experiment, a benchmark for what humanity could become when stripped of limitation and reengineered. This post analyzes that foundational moment through the lens of power, dehumanization, and unchecked scientific obsession.

Possible Trigger Warnings: discussions of bodily autonomy violation, dehumanization, medical experimentation, psychological detachment, scientific abuse, and unethical research practices.

Diana Ravenscroft first encountered Sephiroth in [μ] – εγλ 1998, during her tenure as an assistant geneticist under Professor Hojo in the Shinra Science Department. At the time, Sephiroth was already a rising figurehead of the SOLDIER program, his reputation as an elite SOLDIER cemented through a combination of raw combat skill and the secretive enhancements Shinra bestowed upon him. Diana was tasked with conducting a series of routine cellular diagnostics and hormone-level assessments following one of Sephiroth’s prolonged missions. Their interaction was perfunctory and clinical. She took samples, recorded vitals, and reported anomalies, but it left a deep impression on Diana, not because of any personal connection, but because of the rare biological data she was allowed to observe firsthand.

To Diana, Sephiroth represented the epitome of applied bioengineering. The Jenova-infused cellular structure that coursed through his veins confirmed everything she believed about the potential of human enhancement. Her interest in him was strictly professional but intensely so. In him, she saw not a person, but a data point: a walking, breathing case study of her life's ambitions realized. She took note of his regenerative capacity, cellular resistance, and neurological response to controlled stimuli, filing away every deviation and irregularity for later analysis.

What Sephiroth was, or could become, became more important to her than who he was. Their exchanges were sparse, often mediated by Hojo’s directives, and limited to the clinical sphere.

Diana’s role in Sephiroth’s medical monitoring escalated as Hojo began delegating more sensitive projects to her. She analyzed tissue samples, observed his reactions to various forms of stimuli, and studied the ways his Jenova cells responded to stress, trauma, and mako exposure. She never sought his trust, nor did she care for his consent. The only thing she cared about was the results. If he acknowledged her presence, it was likely as another faceless scientist in a white coat, indistinguishable from the others who poked, prodded, and cataloged him. Diana did not concern herself with his autonomy or humanity. She viewed him as a controlled experiment with a unique variable: alien cells. The more she learned, the more detached she became, reducing Sephiroth in her mind to a vessel of scientific significance rather than a person capable of will or emotion.

Their relationship, if it could even be called that, was purely procedural and entirely unbalanced. Sephiroth held power on the battlefield; Diana held power in the lab. She never attempted to manipulate him in a social or emotional context, but her fascination with his biology influenced her behavior in increasingly unhinged ways. She began building experimental models based on his genome, laying the groundwork for future human and celestial trails (through Bianca Moore) without his knowledge or involvement.

In hindsight, Diana’s first meeting with Sephiroth was less a turning point and more a confirmation of her path. It reinforced her belief that human limitations could, and should, be enhanced and lead the path of the obsession she has with Bianca Moore's cells and heritage. Her obsession with optimizing the human condition only deepened as a result of their clinical encounters. She did not see Sephiroth as a cautionary tale, but as unfinished work.

The consequences of her detachment and dehumanization would ripple out in the years to come, especially as she began manipulating Bianca Moore with the same disregard for agency or suffering. For Diana, Sephiroth was never a person. He was a benchmark, a blueprint, and ultimately, a failure she intended to surpass.

@themaradwrites @shepardstales @megandaisy9 @watermeezer

@prehistoric-creatures @creativechaosqueen @chickensarentcheap

@inkandimpressions @arrthurpendragon @projecthypocrisy @serenofroses

[lisbeth-kk]

May Prompts (23) Apology

The Luckiest Girl in the World (chapter23)

Summary: Rosie shares a surprise with her parents and uncle. All of them have different thoughts about this unexpected development, and silent negotiations are carried out.

Twenty-Three Years Old

I knew that Papa not fully understood my reason for studying international politics and data, but to his credit he didn’t for one second try to convince me to give it another thought and opt for something science related instead. Dad was just relieved that I’d finally had found a path to walk, after several failed attempts. Uncle Myc, well he tried to hide how utterly pleased he was with my choice, but by now I knew him well enough to read the signs. Truth be told, said signs weren’t that subtle.

“Bien choisi ma chérie,” he beamed at me, while Papa scowled at him.

“Merci oncle,” I retorted. “I can’t wait to start this and go to Paris.”

The three-year BA degree was taught by The University of London Institute in Paris. We would be taught in English, but if we had an A level in French, we could also take French courses. I’d learned French in school for years, and uncle Myc and I often conversed in French when uncle Greg wasn’t around.

I think it’s needless to say that my security and comfort in France was well taken care of. Papa and uncle Myc had a conversation using their eyes only when I spilled the beans. Dad knew exactly what was going on and went to make tea while negotiations were carried out. Once the brothers were satisfied, uncle Myc took out his phone and sent several texts or emails. By now, I knew it’ll be futile to pester any of them of what was going on. I was just relieved that no one had tried to talk me out of it, making me feel uncertain or guilty for leaving the country; actually, moving out of my childhood home.

My reasons for choosing this subject were multifaceted. I’d always enjoyed learning facts, obscure and otherwise, about different countries and cultures. Having had a relatively unorthodox upbringing, containing all sorts of people, played a big part too. The cherry on top was that the school was abroad. Nana’s tales of her experiences overseas and how educating it is to have lived some time in another country and society, had always seemed enticing to me.

***

The university was situated close to the Invalides and the Seine, while my lodgings were in the Charonne area in the 11th arrondissement on a cosy cobble street, with a nearby metro station. My landlady, Marguerite Vachon was one of uncle Myc’s acquaintances, from where, I still have no idea. 

Marguerite preferred that I used her given name instead of the formal, Madame Vachon.

“Je ne suis pas ancient,” was her favourite line and reminded me quite a lot of Nana.

“I am not ancient, dear,” was a statement Nana had used every so often.

Marguerite was a petite and elegant woman. Her hair was cut in a bob, coloured black with a few red stripes. I never saw her without lipstick or makeup. She always wore bespoke dresses and high heeled shoes. I deduced that she was far more than a landlady. When I left for school in the morning, I could hear her sing or talk on the phone, and when I returned, she always opened her door and inquired about my day.

“She’s clearly spying for Mycroft,” Papa’s voice told me.

And there was something about her, which I couldn’t put my finger on. Something mysterious, secret, perhaps even dangerous. 

***

It seemed like Marguerite had my schedule memorised. Not that I’d given her the information, but when she slipped, I got my suspicions confirmed. To be fair, it wasn’t slipping per se. She couldn’t have known that class was dismissed early that day.

Luckily, I spotted her and was able to hide behind a wall before she saw me. I’d almost missed her, because she wasn’t wearing her normal dress and high heels, but red trousers, a white and blue-striped jumper, and white trainers. Instead of one of her posh handbags, she had a dark blue canvas bag diagonally draped over her chest.

Papa had taught me a few tricks when it came to the fine art of following people without being discovered. I’ve never had much use of them obviously, but now I saw an opportunity. How I would explain this and apologise if I was caught, never crossed my mind.

I was sceptical when Marguerite walked to the metro station, but I was able to get into the same carriage as her, and it seemed that she had no idea she was being followed. She got off three stops later and walked in the direction of the big Père-Lachaise cemetery.

A fitting location for obscure and shady affairs.

Marguerite knew where she was going, walking briskly but not hurried. I had walked the premises several times before and knew where she was headed when I saw the grand tomb of Sir Richard Wallace, the British baronet who contributed millions to the Parisian poor during the Siege of Paris in the early 1870s.

This reeked of another posh Brit I knew.

When Marguerite had placed a folder by the tomb and another woman picked it up five minutes later, I had a hard time keeping myself composed. The woman picking up the folder was the French equivalent of Anthea.

I sent uncle Myc a text when both women were out of sight.

Thanks for keeping track on me, but this thing is like being part of a French noir film. You can tell Papa I think you’re both growing sentimental, and I demand an apology!

Also available on AO3

@calaisreno @totallysilvergirl @keirgreeneyes @raina-at @helloliriels

More tags in the replies

[hob28]

AI Deep Learning Online Course: Mastering Advanced Techniques

Embarking on an AI deep learning online course is a transformative journey for students and professionals alike. Deep learning, a subset of artificial intelligence (AI), focuses on training algorithms to learn from data and make intelligent decisions, mimicking the human brain's neural networks. This guide explores the importance of deep learning education, key concepts covered, choosing the right course, popular platforms, and career opportunities in this dynamic field.

1. Introduction to AI Deep Learning Online Course

Diving into the realm of deep learning through an online course provides a structured pathway for individuals keen on mastering advanced AI techniques. These courses offer comprehensive insights into neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), among other cutting-edge technologies shaping AI innovation.

2. Importance of Learning AI Deep Learning

Deep learning plays a pivotal role in modern AI applications, from image and speech recognition to autonomous vehicles and healthcare diagnostics. Understanding and applying deep learning principles are essential for driving innovation and solving complex problems across various industries, making specialized education in this field highly valuable.

3. Key Concepts Covered in AI Deep Learning Courses

AI deep learning courses typically cover fundamental and advanced concepts:

Neural Networks: Building blocks of deep learning models that mimic the human brain's structure.

Convolutional Neural Networks (CNNs): Specialized for image and video analysis, enabling tasks like object detection and image classification.

Recurrent Neural Networks (RNNs): Effective for sequential data processing, used in natural language processing and time series prediction.

Generative Adversarial Networks (GANs): Used for generating new data instances, enhancing images, and creating realistic simulations.

4. Choosing the Right AI Deep Learning Course

Selecting the right AI deep learning course involves considering several factors:

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Explore leading platforms offering AI deep learning courses:

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A typical AI deep learning course curriculum includes:

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Advanced Topics: CNNs, RNNs, GANs, and their applications in image recognition, natural language processing, and more.

Practical Applications: Hands-on projects to implement deep learning algorithms and analyze real-world datasets.

7. Hands-On Projects and Practical Exercises

Hands-on experience is crucial for mastering AI deep learning techniques:

Image Classification: Implementing CNNs to classify images and improve accuracy.

Natural Language Processing: Building RNN models for sentiment analysis and language generation.

GANs Projects: Creating realistic images or videos using generative adversarial networks.

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AI deep learning expertise opens doors to diverse career paths:

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Enrolling in an AI deep learning online course equips you with the knowledge and skills to thrive in the rapidly evolving field of artificial intelligence. By choosing a reputable course, engaging in hands-on projects, and leveraging practical experience, you can accelerate your career growth and contribute to cutting-edge AI innovations.

Closing Thoughts

Investing in AI deep learning education is an investment in your future, empowering you to tackle global challenges and drive technological advancements. Start your journey today by exploring AI deep learning courses that align with your goals and aspirations, and embark on a fulfilling career in artificial intelligence.

[bookwyrminspiration]

my friend is somewhat considering majoring in linguistics but neither of us know a ton about what you do in linguistics so could you share a little of what you know?

Of course! Obviously, there are different paths you can take within linguistics, and this is just my program, but some basics:

We learn the IPA (these /sɪmbəlz/) and how to transcribe speech. We learn about phonemes and allophones. We learn how speech is produced, how the vocal tract functions. We learn how to analyze data sets of words/phrases from languages to determine what each segment means based on the given translation (i can give an example if you like). We learn glossing (breaking down a word/utterance into morphemes and translating it morpheme by morpheme--can also give examples). We learn to analyze and annotate the grammar of a sentence--what is an object, subject, agent, patient, predicate, referring phrase, peripheral argument, subordinate clause, etc (again--have examples). Essentially, how does language function to make and communicate meaning? What IS language?

Then you can get a little more specialized. You can go a more sociolinguistic path, which is looking at how language is used socially--do women use these words more than men? How do queer people speak (accent, diction, etc)?

Or you could focus on historical linguistics and look at how languages change, or how languages might've been connected/in contact in the past. Or focus on documenting language, working with databases and on revitalization.

Many many more paths to choose from, as language is in everything! Linguistics also overlaps pretty heavily at some points with the speech and hearing sciences (audiology, speech language pathology), so you'll probably pick up a thing or two from that as well.

Hopefully that's comprehensive and gives you a bit of an idea? I'm more than happy to talk more on any of it :)