Data Analysis with Pandas

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Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.

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Why Learn Pandas?

Pandas provides tools for working with tabular data, i.e. data that is organized into tables that have rows and columns. Tabular data has a lot of the same functionality as SQL or Excel, but Pandas adds the power of Python.

Take-Away Skills:

After learning Pandas, you’ll be able to ingest, clean, and aggregate large quantities of data, and then use that data with other Python modules like Scipy (for statistical analysis) or Matplotlib (for visualization).

This course will cover how to create Pandas DataFrames, calculate aggregates, and merge multiple tables.

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What you'll learn

  1. 1
    Use Pandas to create and manipulate tables so that you can process your data faster and get your insights sooner.
  2. 2
    Learn the basics of aggregate functions in Pandas, which let us calculate quantities that describe groups of data..
  3. 3
    Learn how to combine information from multiple DataFrames.

What you'll create

Portfolio projects that showcase your new skills

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How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

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