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, Pandas (Python Package), Programming Principles, Web Scraping, Data Manipulation, Data Structures, NumPy, Python Programming, Computer Programming, Object Oriented Programming (OOP), Web Services, Scripting, Data Analysis Software, Data Analysis, Data Import/Export

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Skills you'll gain: Data Storytelling, Data Mining, Big Data, Data Science, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Business Analytics, Business Intelligence, Predictive Analytics, Machine Learning, Deep Learning

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Status: AI skills

Skills you'll gain: Data Storytelling, Dashboard, Model Evaluation, Data Visualization Software, Data Wrangling, Data Visualization, Web Scraping, Supervised Learning, Data Modeling, Unsupervised Learning, SQL, Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Plotly, Data Analysis, Predictive Modeling, Jupyter, Professional Networking, Generative AI

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.