Complete Data Wrangling and Data Visualization in R

Video: .MP4, AVC, 2850×1688, 12 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 6h | 1.36 GB
Instructor: Minerva Singh

Learn data preprocessing, data wrangling, and data visualization for hands-on data science and data analytics applications in R

Key Features

Perform some of the most common data wrangling tasks and important data visualization concepts in R at a basic level
Make use of some of the most important R data wrangling and visualization packages such as dplyr and ggplot2
Solve wrangling and visualization techniques best suited to answering your research questions and applicable to your data

What You Will Learn

Read in data into the R environment from different sources
Carry out basic data pre-processing & wrangling in R Studio
Learn to identify which visualizations should be used in any given situation
Build powerful visualizations and graphs from real data
Apply data visualization concepts to practical data analysis & interpretation

About
This course is a sure-fire way to acquire the knowledge and statistical data analysis wrangling and visualization skills you need.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

• It will introduce some of the most important data visualization concepts to you in a practical manner so that you can apply these concepts to practical data analysis and interpretation.

• You will also be able to decide which wrangling and visualization techniques are best suited to answering your research questions and applicable to your data, and you’ll interpret the results.

• The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winners

• After each video, you will learn a new concept or technique which you can apply to your own projects immediately! You’ll reinforce your knowledge through practical quizzes and assignments

All the code and supporting files for this course are available at – github.com/PacktPublishing/Complete-Data-Wrangling-and-Data-Visualization-In-R-

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