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Data Scientist with Python

Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, from data manipulation to machine learning! 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. Starting with the Python essentials for data science, you’ll work through interactive exercises that test your abilities. You’ll get hands-on with some of the most popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more. As you progress, you’ll work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. You’ll also get an introduction to supervised learning with scikit-learn and apply your skills to various projects. Start this track, grow your data science skills, and begin your journey to becoming a confident data scientist with Python.

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1
Python
Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist

Certification available

Prepare for certification by completing this track, or target the lessons you need with a personal learning plan.

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Instructors

  • Hugo Bowne-Anderson Headshot
    Hugo Bowne-AndersonData ScientistSee Hugo Bowne-Anderson's Portfolio
  • Jasmin Ludolf Headshot
  • Maggie Matsui Headshot
  • Richie Cotton Headshot

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