The Machine Learning & Artificial Intelligence Certification Bundle

1 Review
514 Enrolled
8 Courses & 44 Hours
You save 98% -

What's Included

Pre-Process & Visualize Data with Tidy Techniques in R
  • Certification included
  • 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
    Introduction to the Course2:16
    Data & Scripts
    Install R and RStudio6:36
    Common Data Types We Encounter in Data Analysis3:37
  • Read in Data From Different Sources
    Read in CSV and Excel Data9:56
    Read in Data from Online HTML Tables-Part 14:13
    Read in Data from Online HTML Tables-Part 26:24
    Read in Data from Databases8:23
    Read in Data from JSON5:28
  • Data Processing With dplyr
    Introduction to Pipe Operators9:14
    Get acquainted with our data using "dplyr"8:29
    More selections with dplyr12:28
    Row filtering7:05
    More row filtering4:59
    Select desired rows and columns4:03
    Add new variables/columns10:02
    Making sense of data by grouping different categories5:28
    Grouping Data-Part 28:55
    Introduction to dplyr-16:11
    Introduction to dplyr-24:44
  • Process your Data the Tidy Way: Start With tidyverse
    Getting Started With the tidyverse Package3:17
    Rename Columns6:59
    Long and Wide Format5:03
    Joining Tables5:58
    Theory Behind Hypothesis Testing5:42
    Implement t-test With tidyverse3:44
  • Dealing With Missing Values
    Removing NAs- the ordinary way17:12
    Remove NAs- using "dplyr"5:15
    Data imputation with dplyr4:44
    More data imputation3:53
  • Data Visualisation and Explorations
    What is Data Visualisation?9:33
    Some Principles of Data Visualisation6:46
    Data Visualisation With dplyr and ggplot26:07
    Mining and Visualising Information About the Olympic Games12:49
    Of Winter and Summer Olympic Games4:16
    Of Men and Women8:26
    Theory of Ordinary Least Square (OLS) Regression10:44
    Implement OLS on Different Categories7:57

Pre-Process & Visualize Data with Tidy Techniques in R

Minerva Singh


Minerva Singh is a PhD 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


  • 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.
Your cart is empty. Continue Shopping!
Processing order...