how to become a data scientist in 2026 скачать в хорошем качестве

how to become a data scientist in 2026

Thinking about becoming a Data Scientist but don’t know where to start? This video breaks down the exact roadmap I wish I had when I was first exploring data science. I cover the skills, tools, degrees, and strategies you actually need today—plus how the role is evolving with LLMs, applied research, and production ML. 1:1 Consulting https://theleap.co/creator/x.o.callie... 🎯 Who this video is for High school, college, and graduate students Career switchers considering data science Anyone confused by the changing data science landscape 📈 Why become a Data Scientist? The profession is evolving fast: Large Language Models (LLMs) are now deeply integrated into many teams Companies are increasingly hiring: Applied Scientists (often PhD + research-heavy) Machine Learning Engineers (production-focused) “Data Scientist” no longer means one single job 🧠 The Two Types of Data Scientists Type A: Analysis-Oriented Data Scientist Focus: insights, decision-making, and communication Background: statistics, economics, social sciences, business Tools: Python, R, SQL, Excel, Tableau / BI tools Typical work: Data exploration & wrangling Hypothesis testing & A/B testing Dashboards & stakeholder presentations Goal: Understand the why behind the data and guide business decisions. Type B: Building-Oriented Data Scientist Focus: models, systems, and data products Background: computer science, engineering, machine learning Tools: Python, Scala, PyTorch, TensorFlow, Spark, Docker Typical work: Production ML models Recommendation systems, fraud detection, ranking systems Software engineering for scalable ML Close collaboration with data engineers Goal: Build automated, scalable systems powered by data. 🎓 Background & Education Computer Science degrees are strongly favored Statistics, math, and data science degrees also work Most data scientists have a Master’s degree PhDs are increasingly common for applied scientist roles Bootcamps alone are rarely sufficient I’ve never met someone without a STEM bachelor’s degree who successfully became a data scientist 🚀 How to actually get the job Network aggressively Attend data scientist & applied scientist meetups Go to software engineering meetups (huge overlap) Use LinkedIn: Find people who already have the role you want Reach out and learn their path Relationships matter more than almost anything at work Win competitions: Kaggle wins or strong rankings can directly lead to job offers Math Olympiad & competitive programming backgrounds shine here Get in through an adjacent role: Data Analyst or Software Engineer → internal transfer to Data Scientist Teams are far more likely to trust someone who has already proven themselves