Career Track

Data Scientist with Python

Gain the career-building Python skills you need to succeed as a data scientist. No prior coding experience required. In this track, you'll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you'll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You'll then work with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language processing (NLP). Start this track, grow your Python skills, and begin your journey to becoming a confident data scientist.

  • Python
  • 88 hours
  • 23 courses
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Introduction to Python

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.

4 hours
Hugo Bowne-Anderson

Data Scientist at DataCamp

Solidify your knowledge from previous courses

TV, Halftime Shows, and the Big Game

Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.


Hugo Bowne-Anderson

Data Scientist at DataCamp

Richie Cotton

Curriculum Architect at DataCamp

Aaren Stubberfield

Manager, Supply Chain Analytics @ Ingredion Incorporated

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