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Day 1 of 14 30 minSeriesDataFramedescribe()

What pandas is and why analysts use it. Create Series and DataFrames, take a first look at a dataset, and add a calculated column.

By the end of today you can

  • Explain what pandas is and where it fits next to Excel and SQL
  • Create a Series and a DataFrame
  • Describe the parts of a DataFrame: index, columns, values and dtypes
  • Take a first look at data with head(), shape, dtypes and describe()
  • Add a calculated column and answer a simple question

What's inside

  • 8 sections
  • 3 diagrams and mind maps
  • 6 code examples you can run
  • 5-question quiz
  1. 1Your first import
  2. 2Series: one labelled column
  3. 3DataFrame: a table
  4. 4A first look at any dataset
  5. 5Working with columns
  6. 6A taste of what's coming
  7. 7pandas, Excel and SQL
  8. 8How an analysis flows

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Day 2 Loading & Inspecting Data
Day 1: Meet pandas · Data Analysis with pandas · SkillBld