#Skills Required for Data Science

[juliebowie]

Read about the Crucial Skills Required for Data Scientists

Summary: Mastering the skills required for a Data Scientist involves proficiency in technical, analytical, and soft skills. These skills enable professionals to handle data manipulation, analysis, and visualization, driving data-driven decision-making and innovation.

Introduction

A Data Scientist plays a crucial role in extracting insights from vast amounts of data, enabling informed decision-making. Mastering the skills required for Data Scientist roles is vital for success in this rapidly evolving field. 

Acquiring the right technical, analytical, and soft skills ensures professionals can effectively handle data manipulation, analysis, and visualization tasks. This article aims to provide an in-depth look at the essential skills needed to thrive as a Data Scientist, highlighting their importance and offering guidance for aspiring professionals to build a successful career in data science.

Technical Skills

To thrive as a Data Scientist, mastering technical skills is essential. These skills form the foundation for analyzing data, building models, and deriving actionable insights. Here are the key technical skills every Data Scientist should possess:

Programming Languages: Proficiency in Python and R is crucial. Python's simplicity and extensive libraries make it a favorite among Data Scientists. R, with its statistical capabilities, is another essential language. Additionally, knowing SQL is vital for querying and managing databases.

Data Manipulation and Analysis: Data Scientists must be adept at manipulating and analyzing data. Libraries like Pandas and NumPy in Python simplify data manipulation tasks. Efficiently cleaning and preprocessing data ensures accurate analysis and modeling.

Machine Learning and Statistical Modeling: Understanding various algorithms and statistical models is a must. Practical experience with machine learning frameworks like scikit-learn, TensorFlow, and Keras helps in building and deploying predictive models.

Data Visualization: Creating clear and compelling visualizations is key to communicating insights. Tools such as Matplotlib, Seaborn, and Tableau enable Data Scientists to transform data into visual narratives that stakeholders can easily understand.

These technical skills equip Data Scientists to handle the complexities of data-driven projects, ensuring they can extract meaningful insights and make data-driven decisions effectively.

Analytical Skills

Analytical skills are fundamental for Data Scientists, enabling them to interpret complex data and derive meaningful insights. These skills are essential for making data-driven decisions and solving real-world problems. Data Scientists must approach data with a critical eye, understanding patterns, trends, and anomalies to provide actionable recommendations.

Critical Thinking: Data Scientists need to approach problems methodically, breaking them down into manageable parts. This involves questioning assumptions, evaluating evidence, and considering alternative solutions. Critical thinking helps in identifying the root cause of issues and formulating effective strategies.

Problem-Solving: Effective problem-solving skills are crucial. Data Scientists must be adept at identifying problems, generating hypotheses, and testing them through data analysis. This iterative process helps in uncovering hidden insights and optimizing processes.

Statistical Analysis: A strong grasp of statistical concepts is vital. Data Scientists use statistical techniques to analyze data, perform hypothesis testing, and draw conclusions. Proficiency in statistics allows them to validate their findings and ensure the reliability of their models.

Attention to Detail: Precision is key in data analysis. Data Scientists must pay close attention to detail, ensuring data accuracy and integrity. This helps in minimizing errors and improving the quality of insights derived from the data.

Pattern Recognition: Identifying patterns and trends in data is a core skill. Data Scientists use various analytical techniques to recognize patterns that can inform predictions and guide decision-making.

Developing robust analytical skills enables Data Scientists to transform raw data into valuable insights, driving business success and innovation.

Soft Skills

Soft skills play a crucial role in the success of a Data Scientist, complementing technical expertise. These skills enable effective communication, collaboration, and problem-solving, which are essential in translating complex data insights into actionable business strategies. Here are some key soft skills that every Data Scientist should cultivate:

Communication:

Clearly explain complex technical concepts to non-technical stakeholders.

Present data findings in an understandable and compelling manner.

Write clear and concise reports that detail data analysis results.

Collaboration:

Work effectively within a team, often comprising diverse skill sets.

Engage in interdisciplinary projects, collaborating with departments like marketing, finance, and operations.

Share knowledge and insights with colleagues to foster a collaborative environment.

Problem-solving:

Approach data challenges with a critical and analytical mindset.

Develop creative solutions to complex problems by leveraging data insights.

Adapt to new challenges and continuously seek innovative ways to use data.

Adaptability:

Stay updated with the latest industry trends and technological advancements.

Quickly learn and adapt to new tools and methodologies.

Remain flexible in a fast-paced, ever-evolving field.

Time Management:

Prioritize tasks effectively to meet deadlines.

Manage multiple projects simultaneously without compromising on quality.

Organize workload to balance immediate tasks with long-term goals.

Developing these soft skills is essential for Data Scientists to effectively bridge the gap between data analysis and strategic decision-making.

Frequently Asked Questions

What technical skills are required for a Data Scientist?

To thrive as a Data Scientist, proficiency in programming languages like Python and R, data manipulation tools like Pandas and NumPy, machine learning frameworks such as scikit-learn and TensorFlow, and data visualization tools like Matplotlib, Seaborn, and Tableau are essential.

Why are analytical skills important for Data Scientists?

Analytical skills enable Data Scientists to interpret complex data, identify patterns, and make data-driven decisions. Skills such as critical thinking, problem-solving, statistical analysis, attention to detail, and pattern recognition are crucial for deriving actionable insights from data.

What soft skills are essential for a Data Scientist?

Effective communication, collaboration, problem-solving, adaptability, and time management are vital soft skills for Data Scientists. These skills ensure they can translate complex data insights into actionable business strategies and work effectively within diverse teams.

Conclusion

Mastering the skills required for a Data Scientist is essential for success in this rapidly evolving field. Technical skills like programming, data manipulation, machine learning, and data visualization, combined with strong analytical and soft skills, enable professionals to extract meaningful insights from data and make informed decisions. 

Cultivating these skills ensures Data Scientists can effectively handle data-driven projects, drive innovation, and contribute to strategic business decisions.

[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!

[astrologydray]

Scorpio Mc in the each of the degrees

If you have a Scorpio Midheaven (MC), your career and public image are influenced by Scorpio’s themes of transformation, power, intensity, investigation, and depth. You are likely drawn to roles where you can work behind the scenes, deal with powerful emotions, or engage in deep, transformative processes. Scorpio MC individuals often thrive in careers such as psychology, research, investigation, finance, healing, or crisis management.

• 0° Scorpio (Aries Point) – A powerful public image, likely to achieve prominence through transformational or investigative work, such as psychology, research, or crises management.

• 1° Scorpio – Intense, focused, and determined; may thrive in investigation, forensic science, or any field requiring deep analysis.

• 2° Scorpio – Likely to excel in research, science, or strategic roles that require uncovering hidden truths.

• 3° Scorpio – A natural in psychology, counseling, or crisis management, using your ability to deal with profound emotional situations.

• 4° Scorpio – Strong sense of privacy and control. Could excel in corporate leadership, finance, or law enforcement, where power dynamics are key.

• 5° Scorpio – Creative yet intense; could thrive in fields such as writing, investigative journalism, or roles where uncovering secrets is crucial.

• 6° Scorpio – Strong emotional intelligence; could work in healing professions, psychotherapy, or holistic health.

• 7° Scorpio – Focused on personal transformation through relationships. Likely to work in partnerships, counseling, or mediation, helping others navigate difficult transformations.

• 8° Scorpio – Attracted to careers involving transformation, healing, or working with life/death situations. Could excel in medicine, surgery, or toxicology.

• 9° Scorpio – Deep and insightful, likely to work in research, science, or roles that deal with the hidden or taboo.

• 10° Scorpio – Powerful presence in the workplace. Likely to succeed in leadership, government, or transformational roles.

• 11° Scorpio – Drawn to intense and transformative careers in fields like crisis management, psychological research, or financial analysis.

• 12° Scorpio – Naturally private but magnetic; could excel in research, data analysis, or confidential consulting.

• 13° Scorpio – Strong sense of duty to uncover the truth. Could work in investigation, legal fields, or security.

• 14° Scorpio – Intense and passionate. Likely to succeed in law enforcement, surgery, or any career that involves high stakes or deep emotional work.

• 15° Scorpio – Skilled at understanding power dynamics and human psychology. Likely to thrive in finance, real estate, or therapy.

• 16° Scorpio – Willing to tackle dark or difficult topics. Could excel in criminology, research, or working with addiction or trauma.

• 17° Scorpio – Drawn to healing, counseling, or any career that involves personal growth, particularly in the face of adversity.

• 18° Scorpio – Powerful communicator in hidden or taboo subjects. Likely to succeed in journalism, investigative reporting, or political activism.

• 19° Scorpio – Focused on deep, emotional transformation. Could excel in fields like psychotherapy, life coaching, or end-of-life care.

• 20° Scorpio – A natural in roles requiring emotional depth, such as crisis management, mediation, or psychiatry.

• 21° Scorpio – A transformative figure. Likely to be drawn to careers that change society, such as activism, research, or government roles.

• 22° Scorpio – Interested in dealing with the shadow side of life. Could thrive in criminology, investigative work, or financial sectors dealing with risks.

• 23° Scorpio – Fascinated by mysteries, forensics, or the unseen world. Likely to find success in research, astrology, or spiritual counseling.

• 24° Scorpio – A true transformer. Likely to be drawn to careers that involve depth, healing, or powerful change such as management, finance, or spiritual guidance.

• 25° Scorpio – Powerful and intense; likely to work in corporate leadership, strategy, or financial markets.

• 26° Scorpio – Magnetic and persuasive; could excel in negotiations, law, or roles requiring the ability to persuade and influence.

• 27° Scorpio – Strong focus on transformation; could work in psychology, the occult, or recovery-based careers.

• 28° Scorpio – Intense and strategic; may work in intelligence, politics, or investment management.

• 29° Scorpio (Anaretic Degree) – A fated degree of transformation. Likely to experience profound career changes, or public recognition in roles that involve power, control, or deep psychological insight. This degree may bring sudden or intense changes to your professional life but can ultimately lead to mastery in investigation, crisis management, or healing.

[chase-solidago]

NOW HIRING - Special Projects Assistant

Chicago Residency at time of job start required

Join the Rethinking Lawns Research Team (http://rethinkinglawns.com) and study the impacts of lawns and their potential alternatives in Chicago! Lead field experiments, manage experimental sites, and collect and manage data. Ideal candidate will have experience in project coordination and ecological field work.

Full description under the cut!

The Chicago Park District is seeking an experienced candidate to join our Natural Areas team, a part of the Park District’s Department of Cultural and Natural Resources. The Special Projects Assistant will be a member of the Rethinking Lawns project, a multi-disciplinary team exploring the ecological and ecosystem services benefits of traditional lawns, natural areas, and native, short-statured lawn replacement plantings. More information about the project can be found at rethinkinglawns.com. The ideal candidate will have experience in project coordination and ecological field work, preferably in a leadership capacity.

Key responsibilities include leading a team of seasonal research assistants in collecting data on plant cover, pollinator visitation, water infiltration, temperature, and soils at sites throughout Chicago and at the Chicago Botanic Garden. The Special Projects Assistant will participate in regular project coordination meetings with the research team, and oversee scheduling, coordination, communication, and data entry. They will also regularly interact with landscaping contractors, colleagues and the project team regarding installation and maintenance of plantings. Exceptional candidates will have some experience in data management, and analysis using R, and/or GIS. There are opportunities to present at local and national conferences. Local travel to field sites is required.

Desired Qualifications:

Bachelor's degree in Biology, Environmental Science, or a related field, or a combination of education and experience.

Knowledge of ecological principles and practices.

Ability to research information and prepare clear written or oral reports.

Ability to relate to field personnel and community groups, particularly in an urban setting.

Data entry, writing, computer skills.

Knowledge of contemporary research and communication practices. 

City of Chicago residency is required at time of job start.

This position is based out of North Park Village (5801 N. Pulaski Rd.) and includes frequent citywide travel.

[literaryvein-reblogs]

Writing Notes: Scientific Literacy

Scientific Literacy - the ability to parse through scientific information and understand it. Furthermore, it can entail the knowledge necessary to conduct experiments, hypothesize about new data, and think critically about the wider world.

How to Improve Scientific Literacy

The more science literate a society becomes, the better equipped it is to meet the challenges of the contemporary world. Consider these ways to improve the public understanding of science:

Combat misinformation. Science education is essential to combating misinformation. Unless people know how to vet sources of information, they’re more prone to take untrue or science illiterate alternatives at face value. This has led to people outright denying the reality of climate change and global warming, as well as refusing to take life-saving vaccines.

Demonstrate the real-world value. People are more likely to achieve scientific literacy when they see it has pragmatic value. Show students how an increased understanding of science can boost economic productivity, increase personal well-being, improve professional development, and have a positive general impact on their everyday lives.

Specify needed skills. There are many different important science literacy skills, so help people break them down into manageable chunks. Walk students through how to form a hypothesis, conduct an experiment using the scientific method, or read through a science paper and evaluate its veracity.

Take a wide-angle view. Encourage people to study all sorts of different scientific fields. For example, someone may have a hard time understanding the scientific processes underlying a life science (like chemistry) but also take to a more physical branch of the field (like earth science). You could then use their enthusiasm for the latter to inspire them to work harder to understand the former. Utilize different science teaching strategies to encourage a love of the field in general.

How to Evaluate Scientific Literacy

There are various approaches you can take to test for scientific understanding. Here are a few key ways to evaluate literacy in the science classroom:

Follow an established science curriculum. You can find plenty of curricula to guide your own personalized science education goals. For example, institutions like the American Association for the Advancement of Science and the National Academy of Science provide general wisdom about how to teach students to become science literate throughout their time in school.

Start a dialogue. Constant conversation and experimentation are part of the very nature of science. As such, scientific inquiry requires a group approach to problem-solving. Ask your students to help each other deepen their understanding of scientific concepts and step in to assist them along the way. See if they’re grasping these concepts as you talk to them.

Test for knowledge. Try to test for knowledge of science concepts in multiple different ways. Ask your students to conceive of and conduct an experiment from start to finish. Encourage them to write a scientific research paper with the appropriate citation format, utilizing peer-reviewed resources. Provide traditional multiple-choice tests to evaluate general scientific knowledge as well.

The Importance of Scientific Literacy

Scientific literacy enables you to understand why things are the way they are. Becoming a science-literate person can lead to or contribute to:

A greater impetus to act on important issues: Scientifically literate citizens are more likely to act when science indicates a crisis is on the horizon. Scientific issues often become political and ethical issues, drifting out of the lab or classroom into the real world. Science teachers help their students identify issues like these as well as propose ways they can act to solve them.

A greater understanding of the world: From elementary to high school science and beyond, teachers do their best to explain the wonders of the natural world to their students. Scientific knowledge expands your ability to grasp mysteries you previously thought of as inscrutable and unsolvable.

Improved critical thinking skills: Science learning allows you to hone your critical thinking skills in a way that can apply to a vast array of other arenas in your life. As you comb through scientific evidence and assess data, you train yourself to think objectively. Core competencies like these have far-reaching benefits on your general decision-making capabilities.

At a very early age, even elementary school students receive exposure to scientific concepts in the interest of building this sort of literacy.

Schools follow national science education standards to bring the next generation up to speed on everything from physics and chemistry to the broader life and social sciences.

Certain scientific authorities lament what they see as the low standards of scientific literacy throughout contemporary society.

They insist we need education reform to ensure the general public can better learn to see the world through a science-oriented lens.

Source ⚜ More: Notes & References ⚜ Writing Resources PDFs

[paperometria]

Ho bisogno del vostro aiuto, quindi vi chiedo un cortese reblog, e se volete, aiutarmi su altre piattaforme al di fuori di Tumblr, dove ve pare, tutto il materiale riportato qui è pubblico. Please, I need your help to "spread the word", so thank you in advance for your kind reblog, even on other platforms, you can share with no restrictions.

Hi,

SAP, my company, is searching for students that are willing to get a Bachelor in Computer Science, called VT/STAR, Vocational Training. I'm adding here all the details and the links, but let me recap why it's a great thing for you.

The Bachelor is a 3-years program and you get paid while you study!!! First year, 1.300 EUR per month, then 1.450, and finally 1.600 EUR.

You have full access to all SAP facilities in the Campus, like the canteen, the sport gym and many other social places, with no costs on your side.

The Vocational Program is intended to hire young people, so once you complete your Bachelor, you pass the exams, the chances are quite high to be hired in SAP and start your career there.

The whole program is paid 100% by SAP. In detail:

this is not for German students, this is for any EU non-German student that is willing to start a Bachelor program intended to hire a future developer/data scientist/AI expert. For any EU citizen, this Bachelor program has no costs on your side, you just come and start.

for any non-EU citizen, you're charged for a one-time-only 1.500 EUR entry fee, and that's it.

Just to be transparent, the company does not cover any costs due to the relocation to Walldorf, Germany, those are on you.

The Bachelor start on September, 1st, every year, you need to go through an interview and pass an entry test, there's no deadline for your application, but if you apply once the program has already started and you pass it, you'll be in the line for the next year automatically.

You can read all the details in the link below, I'm just rephrasing two of the points you'll read there.

Excellent written and spoken English => no, you just need the English required to study a STEM discipline, we don't need any future Shakespeare, you don't need to bring any English certification, you'll prove your knowledge at the interview, that's it. No German language is required!

Programming skills in at least one programming language => you don't need to be a senior, you don't need to be an expert, you just need to have some basic knowledge about what coding means, what is OOP, and some other basic computer programming concepts. If you have ever written a simple program on your own, I mean, something on the educational level, chances are that you can fit the program.

Here you can find all the information you need:

And here you can apply for it:

In case you need any other detail or you have more questions, please write me a message.

Good luck! :)

[ismellpestilence]

No one has ever come up with a justification for generative AI* that isn't flimsier than tissue paper.

I use it because I'm not very good a drawing/animating/whatever.

Practice makes perfect. Any skill worth having is worth working hard for.

I use it to find recipes for dinner.

Literally google it. Easy recipes. [Insert cuisine here] recipes. Buy a cookbook.

But I need it to tell me what I can make with the ingredients I already have.

That already exists. There are apps and websites that do that, if you could be bothered to look for them.

I need it for things I don't know how to make, like resumes.

Once again, google it. There are templates everywhere. Ask a friend for help.

Okay but I'm not very good with writing and grammar, so I need it to proofread for me.

Ask a friend to do it for you. Read it out loud to yourself. Have your computer read it back to you. Set it aside and come back a few hours later.

I need it to summarize course material for me so I can understand it better.

That's already out there. Spark Notes. Cliff Notes. Khan Academy. Get a friend to help you. Get a tutor. Ask your teacher. Use Reddit if you're desperate.

I only use it to write essays for classes that I don't need for my major. Colleges these days have too many bullshit requirements + I'm not even going to college. I'm going into a trade so I don't need to know classic lit or any of that nonsense.

That's just a skill issue. Sorry, except I'm not. I live and die by my skills alone. Yes, I do think I'm better than you, because I am.

Do you think children are taught animal sounds because they might need them for their careers? Of course you don't. It is tremendously important that people have a well-rounded knowledge of the world. You may think you don't need to know about classic lit or chemistry, but you are more than your job. You are a member of society. You are a voter, and may be a parent. History, art, literature, and science are very, very connected to politics right now, and it's important you understand those things. You need to understand how the world works.

You need to be capable of working even when you don't want to, and thinking through tough concepts. Your brain is like a muscle. If you've ever tried to do something after a long time and discovered that you can't remember how, then you know that, like a muscle, your knowledge will atrophy if you don't use it. If you refuse to sit down and think, even when it's inconvenient, you will lose the ability to do so.

Anyone who uses generative AI is making themself lazier and dumber. Don't do that. Have some self respect.

*I say generative AI because I am not again all AI on principle. There are some ways that it could, if done right, be very helpful. My beef if with the scrape-for-data-and-spit-it-back-out AI.

[askviktor]

I want to go into environmental science as a career but im worried im just not smart or disciplined enough for that. I want to help the earth but i know its a lot of work to get there and im worried I won't be able to push through to do that. Any thoughts?

Environmental science does indeed require discipline — data acquisition, research, lab hours, field work, systems thinking — and demands a mind agile enough to combine ecology, chemistry, policy, and humanity itself. It is also a field in which one encounters loss regularly, be that through species extinctions or capitalistic negligence.

However, keep in mind that you do not have to be perfect to be useful. You need only care enough not to give up. Intelligence is not fixed, but something which continually evolves and expands. Skill sets take time to acquire, methodologies require practice. What matters is your own curiosity, resilience, and humility. Science is an immensely humbling field. I constantly confront how little I know, how ill-equipped I am to understand the vastness and complexity of our universe. But I care about what I do and I have developed a resilience to adversity by pacing myself. Allow yourself, too, to grow gradually.

Pursue your dreams scared if you must. But pursue them. Often the most difficult of challenges are the most worthwhile. I wish you the very best as you move forward, whatever path you may travel.

[petrolstationflowers]

Up to your neck in true crime and feel you can really get into why burglars keep stealing your toilet? Then perhaps the Criminal Psychologist career is for you! This was another request from Catrillion and I had to do a fair bit of digging to make sure this one was accurate.

This job is available for YA - Elder, and you can join via the Police Station. Please note you will need University installed as one of the requirements is the Science skill!

No opportunities or books.

If you want to use this, you must have Nraas Careers installed for it to show up!

There are three custom tones to level your skills:

Build a Rapport (Logic) Write Your Report (Writing) Study Previous Cases (Science)

Coworker tones are the same, and skill tones and uniforms appear from level four. The carpool doesn't appear until level three -- you're a poor postgrad, after all!

Levels under here:

Positive Postgraduate - 10 simoleans p/h, 09:00 - 17:00, M-F Description - It’s been a long road to graduation – plenty of sleepless nights watching true crime documentaries and making flash cards for exams, because Watcher forbid you muddle up the Hansford Prison Experiment and the Toto Doll study. You’ve decided you want to jump right in and get an internship, but where to start? Better start cozying up to your professors and making some phone calls! Enthusiasic Intern - 15 simoleans p/h, 09:00 - 18:00, M-F Description - After laying on the praise and asking very nicely, you’ve managed to secure an internship for the year. The pay is nothing special and the hours are long, but you’re learning a lot, working at the local police station, accompanying jail, and the mental health unit over at Sunset Valley General. You’ll be profiling offenders and writing out risk assessments for those living with Unstable personalities, writing recommendations to make the prison nicer and holding therapy sessions. Better hope they’ve got good coffee! Criminal Psychologist In Training - 30 simoleans p/h, 09:00 - 18:00, M-F Description - If you thought you escaped the classroom, think again. Sure, you’re finally getting to put your skills to use, but while you’re still helping out at the precinct, you’re also trying to put together where your skills lie. Would you be best working at HMS Sunset Valley, overseeing prisoner rehabilitation, or in the interview room at the police station working on a report for Sunset Valley Plumbbob Court? Best find a quiet spot in the legal library and do some studying – oh, and your manager wants those reports by the end of the day.

Junior Criminal Psychologist - 40 simoleans p/h, 09:00 - 18:00, M-F

Description - You’re not quite working in the big leagues yet, but you’re getting there. You’ve been assigned to the psychiatric unit, triaging those who have been sent your way and helping out with various studies being conducted around the facility. You are, however, getting to sit in on diagnostic intakes and occasionally are being trusted to write up your own. Hopefully if you format the reports nicely enough, you’ll be allowed to steer the ship yourself.

Clinical Researcher - 70 simoleans p/h, 09:00 - 18:00, M-F

Description - Now you’ve found your feet, you’ve been assigned to work on a clinical research program. Sure, it’s only a contract job, but you’re learning about kleptomania and why certain sims are compelled to steal street lights. Lots of note taking, interviewing people, and staring at graphs until the numbers blur, but when you finally see patterns and correlations, it’ll all be worth it!

Treatment Psychologist - 80 simoleans p/h, 09:00 - 18:00, M-F

Description - The data about street lights proved fruitful, and the local government have decided that the results are valuable enough to be put into practice. Sunset Valley General has set up a specific ward for those suffering from kleptomania, and you’ll be setting up therapeutic workshops and treatment programs to try and cut down on their thievery. It’ll take time, patience, and empathy – luckily, you’ve got those in spades.

Psychologist - 100 simoleans p/h, 09:00 - 15:00, M-F

Description - Out on your own now, with an office and everything! No longer chained to a hospital or a ugly precinct storage room, you’re free to pursue topics that interest you and studies that make your brain light up. It’s back to assessing and evaluating patients, setting up group studies and making recommendations for them to take a long holiday to Barnacle Bay for the sake of their health. The hours are shorter and pay is better – maybe you’re finally at the top?

Senior Psychologist - 120 simoleans p/h, 10:00 - 17:00, M-F

Description - Business is booming, but there’s something missing; counselling snobby sims through their affluenza or prescribing pills for cowards who can’t stop running away from Bonehilda isn’t as fulfilling as it used to be. You’ve been keeping an eye on local job postings and there’s one that’s caught your eye; something about working with the police force to uncover exactly how their minds work. Perhaps it’s time to spruce up your CV…

Investigator in Training - 150 simoleans p/h, 09:00 - 18:00, M-F

Description - You’re back to long hours and endless studying, but this one is paid well and comes with lots of benefits; namely, finally getting to study some of SimNation’s most intriguing criminals up close. You’re not being turned loose quite yet, so for the moment you’ll need to shadow your fellow officers and write up dictated reports on just why you think the Tricou family died and who had the motive to arrange Bella Goth’s disappearance. Keep your nose to the grindstone and soon you’ll be free of hours long recordings and into the interrogation rooms yourself.

Criminal Investigator - 200 simoleans p/h, 09:00 - 18:00, T,W,U

Description - That work has paid off and you’re finally where you wanted to be – sitting across the table from some of the most dangerous people in SimNation. When Circe Beaker has been hauled in for illegal experimentation and Roderick Synapse has finally been arrested for kidnap, it’s your job to sit down with them and pick apart their alibis. You’ll need to walk the fine line between professional and friendly, keep a cool head when you’re hearing the horrors, and be able to put together everything you’ve learned in a well written report – best get the coffee ready.

Translations: I've included the English Strings in the file; if anyone is talented enough to translate, I would be incredibly grateful, so please let me know in the comments!

With thanks: To MissyHissy's career building tutorial!

[p5x-theories]

Kira’s Confidant

(last updated 4/19/25!)

This post documents the fully filled-in information on Kira Kitazato gained through progressing his Confidant! It contains things that could be considered spoilers for his Confidant, as part of the information is a summary of its story.

Kira is available in the nighttime most days, when it isn’t rainy. His Confidant is tied to the Proficiency social stat, and level 17 Proficiency is required to fully complete it.

His Confidant also requires changing a heart in Mementos.

Favorite Presents

(An asterisk (*) marks the special presents added with (and unlocked through) Miyu Sahara’s Confidant, which are liked by all Confidants currently in the game.)

GOAT Absorbent Towel Brightly colored, soft, and smooth absorbent towels that quickly absorb and evaporate large amounts of moisture.

Lazy Cushion A cushion suitable for those who stay at home, designed to be perfect for relaxing.

48-Sided Rubik’s Cube Difficult cone-shape Rubik’s Cube.

Luxury Sunglasses Sunglasses that can effectively block ultraviolet rays.

Super Noisy Alarm Clock An alarm clock that is very difficult to turn off, dedicated to waking up those who tend to stay in bed.

Advanced Shooting Game Strategy Collection "Become a master at shooting games!" An advanced teaching guide for shooting games, written by experts in various strategies.

Household Thermos Cup A very practical household thermos cup that's great at preserving temperature, with a high capacity.

Soldier Set This soldier set, with minor science fiction elements, has an exquisite level of detail, and is known among equipment enthusiasts.

Protective Eye Drops Designed for people who overexert their eyes for long periods of time, they effectively relieve eye fatigue and discomfort.

Gag Glasses These slightly-funny-looking gag glasses are great for pranks, or some kind of punishment game among friends.

Limited-Edition Keychain* This keychain has a unique shape, and is well-made, but there weren’t many of it produced. It has a certain collector’s value.

Bulk Snacks Value Pack* A combo pack containing a variety of traditional snacks that will remind people of the taste of childhood.

Advanced Essential Oil Combination* A value-for-money set of essential oils, with multiple functions to help you relax your mind and body.

Chestnut Cake* Fragrant chestnut cake with mild sweetness to suit most people’s tastes.

Musical Snow Globe* A snow globe that plays music, and can be shaken gently to make snow fall inside.

Desktop Incense Machine* A household incense machine that is small in size, so it can be placed anywhere.

Personal Information

Pre-Version 4.0:

Birthday: November 29 Zodiac Sign: Sagittarius Age: 25 years old Height: 180 cm Weight: 60 kg Interests: Anatomy, learning about the human body Features: Specialization in surgery, anesthesiology, and other disciplines

Version 4.0:

Birthday: November 20 Blood Type: B Age: 25 years old Profession: Intern doctor Height: 180cm Weight: 60kg Favorite Food: Jelly drink (Energy drink flavor) Interests: Using bizarre jokes to confuse others Features: Shooting games

Story

Character Details The intern doctor wearing a labcoat at the arcade is very good at shooting games. He looks hard to faze, and is very confident in his medical skills.

Personal Data 1 Kitazato is a strange man I met in the Shibuya arcade. He wore a doctor's labcoat, and destroyed his opponents in shooting games. I tried to learn his style, but didn't expect him to target me and insist on playing a round against me. However, the supervising physician he works as an intern under suddenly appeared, and they had a dispute. Although temporarily interrupted, Kitazato is very persistent about playing against me...

Personal Data 2 Kitazato has caught the attention of some women, but he doesn't seem to realize it at all... We played the shooting game, and his temperament changed drastically when he became immersed in it. In all senses, he's a terrifying opponent... After two games, he asked me to assist him in his experiment. What is the experiment going to be?

Personal Data 3 Kitazato wanted to conduct a conversation experiment on me, but it turned out that he's noticed that many patients' desire to live is gradually disappearing. In order to confirm this theory, he's been observing the reaction of his opponents while playing shooting games. The way I fought desperately against him in the game made him interested in researching me...

Personal Data 4 I learned useful shooting tips from Kitazato. After a fierce game match, the two women who previously showed interest in Kitazato came over to us to strike up a conversation. Unexpectedly, he completely dismissed them... Although he has a very caring sister, Kitazato doesn't seem to have learned how to communicate with women....

Personal Data 5 Two men were monopolizing the arcade, and Kitazato and I were the only ones to step forward to stop them. Kitazato proposed that we divide into two groups and use the shooting game to determine the winner. The match was a bit difficult, but we still won. Our victory seemed to inspire the other guests, who found the courage to call out the two rude men, and kicked them out of the arcade.

Personal Data 6 Kitazato suddenly decided to interrupt his experiment. He believed that there's a problem with his previous experimental method, and that he couldn't draw any valid conclusions from me. He was a little troubled by all this. After I asked, I learned that a patient refused to accept Kitazato's experimental surgical plan even though it was his only hope. Kitazato couldn't sit back and watch the patient give up his will to live. I mentioned that we encouraged the guests in the arcade, so Kitazato's patient may also be able to regain hope.

Personal Data 7 Kitazato mentioned his past to the patient. It turns out that he'd seen a child in the same ward as him trying hard to survive, but unfortunately he died. In order to save promising lives and reduce grief, Kitazato became a doctor. Kitazato's words finally got through to the patient, but his supervising physician was unwilling to take the risk, and firmly rejected Kitazato. So, I went into Mementos, defeated the supervising physician's Shadow, and made him have a change of heart.

Personal Data 8 Not only was his surgical plan approved, Kitazato was also given the opportunity to be the surgeon, which surprised him. But regardless of anything, things are moving in a good direction. Kitazato trusts me more, and gave me a very realistic human eyeball replica...

Personal Data 9 As the date of the surgery approaches, Kitazato was becoming more and more anxious, and even began to question himself under all the pressure. I reassured him, and he regained his composure. He decided not to let down his patient, who trusts him.

Personal Data 10 The operation was very successful. The patient expressed his gratitude to Kitazato. The supervising physician also recognized Kitazato's ability, and apologized to both of us. Although Kitazato questioned the supervising physician's sudden change in attitude, he didn't ask me any more questions. I promised to continue assisting him in the future, believing that he can help more patients regain their hope for life.

Voice Lines

Japanese VA: Nobuhiko Okamoto | Chinese VA: Zhai Xiao

(As I can only add up to ten audio files per post, I’ll only include the Japanese lines below! Feel free to ask for the Chinese ones, though.)

Kira Kitazato. I'm a medical intern. Not much else to say. Anything you want to ask?

About myself? Let's see... My hobby is human experimentation. ... What's with that face? I'm obviously joking.

Helping patients who need help. Obviously, as a doctor.

I seem like a different person when holding a gun? Has he been discovered? That's my secret alternate personality, named Lucky. ... That was a joke, relax.

You're my friend. But you're also an interesting experimental subject. That's about it.

I don't particularly care about it. It has no connection to a doctor's skill level.

In a difficult operation, the smallest mistake can influence the patient's survival. Honestly, it's a lot of pressure... but it must be overcome.

Confidant-Specific Bonuses

Rank 1 Quick Reload: All ranged weapons used by the team now deal 10% more damage.

Rank 5 Bullets Loaded: After all bullets in a ranged weapon are used, 100% of them will now be reloaded after two rounds.

Rank 9 Pull the Trigger: All ranged weapons used by the team now deal 10% more damage.

Rank 13 Ignite Gunpowder: All ranged weapons used by the team now deal 10% more damage.

Rank 17 Full Fire: After all bullets in a ranged weapon are used, 100% of them will now be reloaded after one round.

[evidence-based-activism]

I know that there’s a phenomenon where as fields/careers shift from being male-dominated to female-dominated, they start to pay less, but has any research been done to determine specifically why this is? I know that in general women’s work is valued less, but I’ve also heard that it could be because female workers require more flexible hours due to familial responsibilities. I’ve also seen misogynists say that it’s simply because women are less skilled at these jobs, so I was hoping there’s research to address/debunk these claims as well.

I talk about this a bit in this post.

For the mechanisms, there is support for both devaluation of women's work and sexist structuring of the job market as a whole.

First, this New York Times article [1] discusses the devaluation hypothesis – that society devalues and therefore underpays work done primarily by women – and this hypothesis is also supported by research [2-4].

However, some work [2, 5] also suggests that employers penalize employees for requesting flexible work arrangements (i.e., work locations, flexible hours, etc.). I want to emphasize, however, that the fact that the workforce is structured in such a way (i.e., penalizes flexibility, does not account for the needs of "encumbered" workers like mothers or other caregivers) is based on sexism [6, 7]. Such penalties exist because we devalue women's unpaid care work, making it another expression of sexism.

Notably, changes in labor supply (i.e., there simply being more workers available) and skill differences are not supported by research [2, 7-9].

I hope this helps!

References under the cut:

Miller, Claire Cain. “As Women Take Over a Male-Dominated Field, the Pay Drops.” The New York Times, 18 Mar. 2016. NYTimes.com, https://www.nytimes.com/2016/03/20/upshot/as-women-take-over-a-male-dominated-field-the-pay-drops.html.

Harris, Jorgen. “Do Wages Fall When Women Enter an Occupation?” Labour Economics, vol. 74, Jan. 2022, p. 102102. ScienceDirect, https://doi.org/10.1016/j.labeco.2021.102102.

Levanon, A., England, P., & Allison, P. (2009). Occupational feminization and pay: Assessing causal dynamics using 1950–2000 US census data. Social forces, 88(2), 865-891.

Light, A. E., Benson-Greenwald, T. M., & Diekman, A. B. (2022). Gender representation cues labels of hard and soft sciences. Journal of Experimental Social Psychology, 98, 104234.

Deschacht, N., Vujić, S., & Frison, O. (2024). The Greedy Jobs Phenomenon as a Driving Force Behind the Gender Pay Gap: A Systematic Review. De Economist, 1-28.

Perez, C. C. (2019). Invisible women: Data bias in a world designed for men. Abrams.

Schieder, J., & Gould, E. (2016, July 20). “Women’s work” and the gender pay gap: How discrimination, societal norms, and other forces affect women’s occupational choices—and their pay. Economic Policy Institute. https://www.epi.org/publication/womens-work-and-the-gender-pay-gap-how-discrimination-societal-norms-and-other-forces-affect-womens-occupational-choices-and-their-pay/

Block, P. (2023). Understanding the self-organization of occupational sex segregation with mobility networks. Social Networks, 73, 42-50

Gunewardena,Dileni N.; King,Elizabeth M.; Valerio,Alexandria. More Than Schooling : Understanding Gender Differences in the Labor Market When Measures of Skill Are Available (English). Policy Research working paper,no. WPS 8588 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/356091537360897955/More-Than-Schooling-Understanding-Gender-Differences-in-the-Labor-Market-When-Measures-of-Skill-Are-Available

[astrologydray]

♍️Virgo Mc in the each of the degrees♍️

If you have a Virgo Midheaven (MC), your career and public image are shaped by Virgo’s themes of precision, analysis, service, and mastery. You likely thrive in careers requiring problem-solving, organization, and attention to detail, such as healthcare, science, writing, education, research, or business administration.

• 0° Virgo (Aries Point) – A powerful initiator in service-based or intellectual fields. May gain recognition in medicine, science, or social reform.

• 1° Virgo – A perfectionist with strong critical thinking skills. Could succeed in editing, analytics, or quality control.

• 2° Virgo – A talented communicator; could thrive in writing, journalism, or teaching.

• 3° Virgo – An analytical mind, ideal for investigative work, research, or forensics.

• 4° Virgo – A love for learning and refinement; may excel in academia, law, or technical writing.

• 5° Virgo – A meticulous worker; likely to succeed in finance, administration, or data analysis.

• 6° Virgo – Naturally inclined toward healthcare, therapy, or alternative medicine.

• 7° Virgo – A precise, creative thinker; may find success in graphic design, architecture, or craftsmanship.

• 8° Virgo – Drawn to healing professions, including nutrition, physical therapy, or holistic medicine.

• 9° Virgo – A problem-solver with innovative ideas. Could thrive in technology, engineering, or logistics.

• 10° Virgo – A strong educator; may work in teaching, coaching, or mentoring.

• 11° Virgo – A tech-savvy, analytical mind; may excel in IT, cybersecurity, or programming.

• 12° Virgo – A perfectionist in fashion, music, or fine arts. Success through precise craftsmanship.

• 13° Virgo – A highly responsible worker; may thrive in law enforcement, military, or humanitarian work.

• 14° Virgo – Health-conscious with a sharp mind. Could be drawn to dietetics, fitness, or medical research.

• 15° Virgo – A master of writing, editing, or academic research.

• 16° Virgo – Business-minded; excels in consulting, financial planning, or business strategy.

• 17° Virgo – A detail-oriented expert; could work in surgery, pharmaceuticals, or scientific research.

• 18° Virgo – A deep humanitarian drive; drawn to nonprofits, environmental work, or psychology.

• 19° Virgo – A critical thinker who excels in law, politics, or policy-making.

• 20° Virgo – A master of their craft; recognized for expertise in specialized fields.

• 21° Virgo – Exceptionally intellectual; may thrive in philosophy, academia, or technical writing.

• 22° Virgo – An innovative thinker; could work in product design, systems development, or efficiency consulting.

• 23° Virgo – A strong researcher; may specialize in history, archeology, or science.

• 24° Virgo – An excellent communicator; may succeed in broadcasting, publishing, or public relations.

• 25° Virgo – A sharp and strategic mind; could work in legal fields, investigative journalism, or intelligence.

• 26° Virgo – A healer at heart; may be drawn to nursing, surgery, or psychological counseling.

• 27° Virgo – A gifted analyst; could thrive in economics, data science, or cybersecurity.

• 28° Virgo – A precise and disciplined artist; success in sculpture, architecture, or technical art.

• 29° Virgo (Anaretic Degree) – A master strategist, perfectionist, or critic. Success comes through expertise, refinement, and precision. However, may struggle with overanalyzing or career indecision.

[weepingpussywillowtree]

so frustrated by both pro and anti generative AI people's overstating of the technologies usefulness, conflating analytical and generative AIs, lack of willingness to engage with the math/science of how the technology actually works or doing so dishonestly, pretentious arguing about what counts as 'art' or 'consciousness' that just goes in circles, borderline religious and dogmatic worship or fear of 'technology' and 'the future', and refusing to engage with the idea that maybe right now what we don't need is yet another developing technology with extremely high energy requirements.

also tired of leftist pro-generative AI people refusing to engage with the studies and research that suggest that generative AI is having a further negative impact on learning, reading, and thinking skills.

My position on generative AI is effectively this: as AI is not profitable for companies right now, doesn't do what it says it does right now, we have basically run out of more internet data to scrape, let alone good data, it is energy intensive for no good reason, and is having a huge impact on our education system which has already been on life support for decades, if we cared about the planet and education we would stuff the genie back into the bottle for the time being and deal with the more pressing issues first, before dumping huge amounts of money and resources into generative AI, because the idea that generative AI can "help solve" any of these issues is unrealistic and borderline dishonest.

Also, that most people using generative AI or convinced by it's merit/necessity in their day to day lives have been influenced by billions of dollars in advertising. It's only been commercially available for a few years. Chill.

Also also, I generally like to look at, read, and watch art made by humans. I don't have a fancy degree or 5000 citations to back up that portion of my opinion, I just think art is communication and most generative AI pieces are used/created as products/production, not communication. Does it have the potential to be used as art and communication? Probably. Will I still find it a little distasteful? Probably. But that's more because I've always been a bit of a snob.

Of course, the genie isn't going back in the bottle, so I just have to sit here and stew I guess.

[ixhika-jsx]

## What’s a Cyber Forensic Investigator?

Master post - part 1 • part 2

You must have heard bout forensics yk investigating bout dead people who might have been killed and all

You must have seen shows on those topics too.Cyber forensic investigator is just of same kind but investigating through all types of modern gadgets.

Catching hackers and all but cooler

### The Money Talk: How Much Do They Make?

- **Cash Money**: Expect to rake in about $60k to $120k a year. If you are very much experienced and skilled then you can expect about 150k+ a year.(obv different countries and companies may have different wages)

### Companies That Want You

- **Tech Titans**: Google, Amazon, Facebook—they all have requirement for such heroes

- **Gov Jobs**: FBI, CIA—basically every spy agency wants you.

- **Cybersecurity Firms**: CrowdStrike, McAfee—so every gateway you go you gonna have opportunities everywhere.

### What Other Forensic Investigators Are There?

- **Forensic Pathologists**: Real-life detectives who figure out how someone died. Less tech, more science.

- **DNA Analysts**: The ones matching DNA samples

- **Forensic Accountants**: Following the money to catch fraudsters and scammers

- **Toxicologists**: Poison experts, figuring out if someone’s been covertly poisoned. (Yeaa yk snow white story)

### What’s the Work Environment Like?

- **The Lab**: Imagine a room filled with more screens than your gaming setup. Gadgets galore, maybe even a Red Bull or two

- **On the Move**: Sometimes you’re out in the field, collecting evidence. Think of it like collecting rare items in a game.

- **Remote Vibes**: You could be solving cybercrimes from your bed in your PJs .

### How Long Does It Take to Become One?

- **Time Investment**: About 4 years for a bachelor’s, and then 1-2 more years for a master’s if you’re going all-in. So, 5-6 years total. But hey, good things take time, right?

### What Do You Study?

- **Cybersecurity/Computer Science**: Your main jams. Think of them as the ultimate cheat codes for this career.

- **Digital Forensics**: Specialized courses where you learn to be a digital ninja.

- **Law and Ethics**: Learning how to catch the bad guys without breaking the law yourself. (You yourself don't want to be troubled obviously)

### Subjects You Need to Get Into It

- **Math**: Yep, but not the boring kind—more like coding and algorithms.

- **Computer Science**: Your go-to for everything techy.

- **Optional Nerd Points**: Chemistry/Physics if you’re into hardware forensics or just want to flex those brain muscles.

### Work Hours: What to Expect?

- **9 to 5-ish**: Standard hours if you’re working for a company, but expect some late nights or weekend shifts when big cases pop up.

- **On-Call Madness**: Sometimes you’re on-call like a digital firefighter. Cyber-attack at 3 AM? Time to suit up (or log in) and handle it.

- **Flexible/Remote**: If you’re lucky, you can work from home. Just remember, no solving crimes in your underwear during Zoom meetings!

### Interview with a Cyber Forensic Investigator

**Interviewer**: What’s a day in the life of a cyber forensic investigator?

**Cyber Sleuth**: Imagine rolling out of bed, grabbing your coffee, and diving into cases. I’m talking analyzing hard drives, sifting through emails, or tracking down cyberattack origins. Some days it’s all data, other days I’m working with law enforcement or testifying in court. Never a dull moment!

**Interviewer**: What’s the coolest case you’ve worked on?

**Cyber Sleuth**: Helping bust a phishing ring that was scamming millions. Tracked their digital footprints, caught the culprits, and recovered their loot. Felt like a total legend.

**Interviewer**: Ever seen some dark stuff, like murders?

*Cyber Sleuth**: Yeah, I’ve stumbled across some pretty grim stuff. It’s not all memes and malware—sometimes it’s serious business. But catching those bad guys makes it all worth it.

**Interviewer**: Have you ever been on the dark web?

**Cyber Sleuth**: Oh, for sure. It’s like the sketchy underbelly of the internet. Lots of shady deals. I go there when I need to, but it’s not a fun hangout spot.

**Interviewer**: How dark can a case get?

**Cyber Sleuth**: It can get really intense. I’ve worked on cases involving human trafficking and other serious crimes. It’s tough, but making a difference makes it worth it.

**Interviewer**: Any advice for someone who wants to get into this field?

**Cyber Sleuth**: Stay curious and keep learning. Tech evolves fast, so you’ve gotta keep up. And don’t be afraid to dig deep—sometimes the answers are buried in tons of data, but finding them is like hitting gold.

So if you’re into tech and have subjects like mathematics , chemistry and physics then you are all set to start your journey.i have seen ppl running for a common a job and all and they are not even specified about what they want. So just research and find out what you want.

[womaneng]

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A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started:

1. Start with the Basics:

- Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science.

- Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners.

2. Learn Mathematics and Statistics:

- While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science.

- Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math.

3. Online Courses and Tutorials:

- Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning.

4. Structured Learning Paths:

- Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence.

5. Practice with Real Data:

- Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning.

6. Coding Exercises:

- Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency.

7. Learn Data Manipulation and Analysis Libraries:

- Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization.

For more follow me on instagram.