Categorical Data in the Tidyverse

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Course Report - Categorical Data in the Tidyverse

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 work often with non-numerical data, such as job titles and survey responses. Factors are a way R can represent them. This course will show you how to use tidyverse, forcats to aid you. You will also use tidyr, ggplot2, and dplyrstringr. Real-world datasets will be used, such as Kaggle State Data Science, fivethirtyeight flight dataset and ML Survey. You'll learn how to efficiently identify and manipulate factor variables, and visualize your data. You're ready to categorize!

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 20 Percentile

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Parameters

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Hands on training

This course stands out as one of the top 20 percentile options in Applied Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Applied Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Applied Data Science.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Working with Data in the Tidyverse

What You Will Learn

In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape

Following this course, you’ll be able to identify and manipulate factor variables, quickly and efficiently visualize your data, and effectively communicate your results

Course Instructors

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Emily Robinson

Data Scientist at DataCamp

Emily is a senior data scientist at Warby Parker. Follow her at @robinson_es on Twitter and on her blog, Hooked on Data

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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