Data Analysis with Python


Stanford Continuing Studies

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We live in a world surrounded by data. But how do we observe and extract value from this data? How do we explore and begin to understand and visualize large data sets? Are there relationships in the data or unusual observations we can uncover? This course will help students learn how to perform data analysis using Python. We will acquire data, examine it, clean it up, visualize it, and begin to infer conclusions from it. We will cover popular open-source tools used by data scientists and analysts in both academia and industry, including the Jupyter Notebook, Pandas, plotting with Matplotlib and Seaborn, and some basics of machine learning using Scikit-Learn.

What you will learn

  • The basics of data analysis using the Python toolchain
  • How to analyze a data set from start to finish, providing graphical and numerical summaries, correlations, and outliers

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