Data science: what to study and how to start
Direct answer
Data science combines statistics, programming, and business to make evidence-based decisions. Base degrees are often math, engineering, or computer science; roles range from analyst to data engineer and applied ML.
“Data science” sounds like one job, but analysts, engineers, and scientists have different profiles. This guide helps you place yourself by what you enjoy doing and which base degree fits you to start.
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Degrees that are often a strong base
Math, statistics, engineering, computer science, quantitative economics, or physics. Many data scientists arrive through one of these bases and add projects with Python, SQL, and cloud tools.
Different roles in the data ecosystem
Data analyst (reporting and insights), data engineer (pipelines and quality), data scientist / ML (models), and analytics engineer (bridge between business and data). Choose based on whether you prefer code, statistics, or communication.
Practical 90-day path
Month 1: basic Python and SQL with public datasets. Month 2: an analysis project with visualization and storytelling. Month 3: GitHub portfolio + apply for internships or complementary bootcamps if your base degree lacks data yet.