Start Your Data Scientist Career

Data scientists collect, analyze, and decipher data to identify insights that help organizations improve their decision making. Learn how to get started in this high-paying, in-demand profession* with these entry-level data science resources.

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Build foundational data science skills

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Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

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Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

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Status: AI skills

Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Generative AI, Professional Networking

As a data scientist, you’ll use your knowledge of data concepts, tools, and structures to pose original research questions, build high-quality data sets, uncover trends and patterns, and communicate your insights to key stakeholders. Explore these free resources as you start your data science career: 

Ready to start learning? Explore our catalog of data science courses for beginners or accelerate your career growth with a Coursera Plus subscription. When you enroll in either the monthly or annual option, you’ll get access to over 10,000 courses.

Frequently asked questions (FAQ)

*US Bureau of Labor Statistics. “Occupational Outlook Handbook: Data Scientists, https://www.bls.gov/ooh/math/data-scientists.htm.” Accessed September 18, 2025.