Pandas Joins for Spreadsheet Users

Updated on

Course overview

Provider
Datacamp
Course type
Free trial availiable
Deadline
Flexible
Duration
4 hours
Certificate
Available on completion
Course author
John Miller

Description

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Joining two or more datasets is necessary for almost any real-world analysis. You’ve done it before with spreadsheets using VLOOKUP and related functions. Can you build on this experience as you transition to the world of Python? Yes! In this course you will learn the ins and outs of bringing datasets together with pandas, Python’s gold standard for manipulating tabular data. You’ll apply pandas functions to combine data from the National Football League (NFL) framed in a familiar spreadsheet environment. Armed with these skills you will be able to harness the power of pandas and integrate larger, more complex datasets into any analysis.

Similar courses

Foundations: Data, Data, Everywhere
  • Flexible deadline
  • 20 hours
  • Certificate
Ask Questions to Make Data-Driven Decisions
  • Flexible deadline
  • 18 hours
  • Certificate
Introduction to Statistics
  • Flexible deadline
  • 15 hours
  • Certificate
  • English language

  • Recommended provider

  • Certificate available