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Udacity

Numpy, Pandas, Matplotlib

via Udacity

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Overview

Strengthen your Python data skills by working with NumPy, Pandas, and Matplotlib to analyze, transform, and visualize data using industry-standard tools used across data teams.

Syllabus

  • Anaconda
    • Anaconda is a package and environment manager built specifically for data. Learn how to use Anaconda to improve your data analysis workflow.
  • Jupyter Notebooks
    • Jupyter Notebooks are a great tool for getting started with writing python code. Though in production you often will write code in scripts, notebooks are wonderful for sharing insights and data viz!
  • NumPy
    • Learn the basics of NumPy and how to use it to create and manipulate arrays.
  • Pandas
    • Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.
  • Matplotlib and Seaborn Part 1
    • Learn how to use matplotlib and seaborn to visualize your data. In this lesson, you will learn how to create visualizations to depict the distributions of single variables.
  • Matplotlib and Seaborn Part 2
    • In this lesson, you will use matplotlib and seaborn to create visualizations to depict the relationships between two variables.

Taught by

Mat Leonard, Juan Delgado, Juno Lee and Mike Yi, PhD

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