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Working with Categorical Data in Python

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Course Report - Working with Categorical Data in Python

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data scientists need to be able use non-numerical data such as marital status and blood type to understand, summarize, or use them. This course will show you how to use pandas and seaborn to visualize and manipulate categorical information. Through hands-on exercises, you will learn how to use pandas and seaborn to visualize and manipulate categorical data. You will be able use a variety datasets to improve your ability to work in categorical data. This includes Las Vegas trip reviews, and the characteristics of adoptable dogs.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

Learn how to manipulate and visualize categorical data using pandas and seaborn

In this course, you’ll learn how to manipulate and visualize categorical data using pandas and seaborn

Through hands-on exercises, you’ll get to grips with pandas' categorical data type, including how to create, delete, and update categorical columns

You’ll also work with a wide range of datasets including the characteristics of adoptable dogs, Las Vegas trip reviews, and census data to develop your skills at working with categorical data

Course Instructors

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Kasey Jones

Research Data Scientist

Kasey Jones is a research data scientist at RTI International. His work focuses primarily on agent-based model simulations and natural language processing analysis. He also enjoys creating unique vis...

Course Reviews

Average Rating Based on 3 reviews

5.0

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