With 39 lectures, this course will tackle the most fundamental building block of practical data science—data wrangling and visualization. It will take you from a basic level of performing some of the most common data wrangling tasks in R with two of the most important R data science packages, Tidyverse and Dplyr. It will introduce you to some of the most important data visualization concepts and techniques that will suit and apply to your data.
Read-in data into the R environment from different sources
Learn how to use some of the most important R data wrangling & visualization packages such as Dpylr and Ggplot2
Carry out basic data pre-processing & wrangling in R studio
Gain proficiency in data pre-processing, wrangling & data visualization in R
Software not included

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