The Machine Learning & Artificial Intelligence Certification Bundle

1 Review
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8 Courses & 44 Hours
You save 81%

What's Included

Pre-Process & Visualize Data with Tidy Techniques in R
  • Experience level required: All levels
  • Access 39 lectures & 4 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

39 Lessons (4h)

  • Welcome To The Course
  • Read in Data From Different Sources
  • Data Processing With dplyr
  • Process your Data the Tidy Way: Start With tidyverse
  • Dealing With Missing Values
  • Data Visualisation and Explorations

Pre-Process & Visualize Data with Tidy Techniques in R

Minerva SinghMinerva Singh | Bestselling Instructor & Data Scientist
4.3/5 Instructor Rating: ★ ★ ★ ★

Minerva Singh is a Ph.D. graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. Minerva also holds an MPhil degree in Geography and Environment from Oxford University.


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

NOTE: Software NOT included


Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here


  • Ability to install R & RStudio on your PC/laptop


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
1 Review
5/ 5
All reviews are from verified purchasers collected after purchase.

Ricardo Valverde

Verified Buyer

Very interesting and complete, valued content and easy learning, good explanation and exercises that can be applied easily.

Aug 6, 2020
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