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Consolidating Employee Data

Use DataFrames to read and merge employee data from different sources.

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1 Tasks1,500 XP

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Project Description

Wouldn't it be great if your data was stored in your favorite format, ready to be analyzed? Unfortunately, that's rarely the case. Data comes in different formats, and being able to merge these different sources in a single file for analysis is a fundamental skill for any data practitioner.

In this project, you will import employee and human resources data in CSV, Excel, and JSON format. You will then merge it all into a single DataFrame, before cleaning it so that it is ready for use in your business.

Project Tasks

  1. 1
    Tidy and join multiple datasets to build a single view of employee information!


Python Python


Data Preparation
Izzy Weber HeadshotIzzy Weber

Data Coach at iO-Sphere

Izzy is a Data Coach at iO-Sphere. She discovered a love for data during her seven years as an accounting professor at the University of Washington. She holds a masters degree in Taxation and is a Certified Public Accountant. Her passion is making learning technical topics fun.
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