Joining Data with pandas

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

A Data Scientist should be able work with multiple data sets. Pandas are a crucial component of the Python data scientist ecosystem. There are 5 million pandas questions on Stack Overflow. Pandas will teach you how to combine, organise, join and reshape multiple DataFrames. You will be using datasets from the World Bank as well as the City Of Chicago. This course will provide a solid foundation for data-joining using pandas.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

Learn to combine data from multiple tables by joining data together using pandas

You'll work with datasets from the World Bank and the City Of Chicago. You will finish the course with a solid skillset for data-joining in pandas

Course Content

Expand all sections

Module 1: Data Merging Basics

Module 2: Merging Tables With Different Join Types

Module 3: Advanced Merging and Concatenating

Module 4: Merging Ordered and Time-Series Data

Course Instructors

Aaren Stubberfield

Manager, Supply Chain Analytics @ Ingredion Incorporated

Manager of Supply Chain Analytics, with over 7 years of experience analyzing data to find insight for business related questions. I am responsible Supply Chain related Analytics for the NA business f...

Course Reviews

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