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Streamlining 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

<p>Wouldn&#39;t it be great if your data was stored in your favorite format, ready to be analyzed? Unfortunately, that&#39;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.</p> <p>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.</p>

Project Tasks

  1. 1
    Task 1

Technologies

Python Python

Topics

Importing & Cleaning DataCase Studies
Izzy Weber Headshot

Izzy Weber

Curriculum Manager, DataCamp

Izzy is a Curriculum Manager at DataCamp. 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 for students.
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