• No products in the cart.


Course Curriculum

Course Curriculum

Unit 01: Data Science Overview
Introduction to Data Science 00:01:00
Data Science: Career of the Future 00:04:00
What is Data Science? 00:02:00
Data Science as a Process 00:02:00
Data Science Toolbox 00:03:00
Data Science Process Explained 00:05:00
Unit 02: R and RStudio
Engine and coding environment 00:03:00
Installing R and RStudio 00:04:00
RStudio: A quick tour 00:04:00
Unit 03: Introduction to Basics
Arithmetic with matrices 00:07:00
Variable assignment 00:04:00
Basic data types in R 00:03:00
Unit 04: Vectors
Creating a vector 00:05:00
Naming a vector 00:04:00
Arithmetic calculations on vectors 00:07:00
Vector selection 00:06:00
Selection by comparison 00:04:00
Unit 05: Matrices
What’s a Matrix? 00:02:00
Analyzing Matrices 00:03:00
Naming a Matrix 00:05:00
Adding columns and rows to a matrix 00:06:00
Selection of matrix elements 00:03:00
Arithmetic with matrices 00:07:00
Unit 06: Factors
What’s a Factor? 00:02:00
Categorical Variables and Factor Levels 00:04:00
Summarizing a Factor 00:01:00
Ordered Factors 00:05:00
Unit 07: Data Frames
What’s a Data Frame? 00:03:00
Creating Data Frames 00:20:00
Selection of Data Frame elements 00:03:00
Conditional selection 00:03:00
Sorting a Data Frame 00:03:00
Additional Materials 00:00:00
Unit 08: Lists
Why would you need lists? 00:04:00
Creating a List 00:06:00
Selecting elements from a list 00:03:00
Adding more data to the list 00:02:00
Additional Materials 00:00:00
Unit 09: Relational Operators
Equality 00:03:00
Greater and Less Than 00:03:00
Compare Vectors 00:03:00
Compare Matrices 00:02:00
Additional Materials 00:00:00
Unit 10: Logical Operators
AND, OR, NOT Operators 00:04:00
Logical operators with vectors and matrices 00:04:00
Reverse the result: (!) 00:01:00
Relational and Logical Operators together 00:06:00
Additional Materials 00:00:00
Unit 11: Conditional Statements
The IF statement 00:04:00
IF…ELSE 00:03:00
The ELSEIF statement 00:05:00
Full Exercise 00:03:00
Additional Materials 00:00:00
Unit 12: Loops
Write a While loop 00:04:00
Looping with more conditions 00:04:00
Break: stop the While Loop 00:04:00
What’s a For loop? 00:02:00
Loop over a vector 00:02:00
Loop over a list 00:03:00
Loop over a matrix 00:04:00
For loop with conditionals 00:01:00
Using Next and Break with For loop 00:03:00
Additional Materials 00:00:00
Unit 13: Functions
What is a Function? 00:02:00
Arguments matching 00:03:00
Required and Optional Arguments 00:03:00
Nested functions 00:02:00
Writing own functions 00:03:00
Functions with no arguments 00:02:00
Defining default arguments in functions 00:04:00
Function scoping 00:02:00
Control flow in functions 00:03:00
Additional Materials 00:00:00
Unit 14: R Packages
Installing R Packages 00:01:00
Loading R Packages 00:04:00
Different ways to load a package 00:02:00
Additional Materials 00:00:00
Unit 15: The Apply Family - lapply
What is lapply and when is used? 00:04:00
Use lapply with user-defined functions 00:03:00
lapply and anonymous functions 00:01:00
Use lapply with additional arguments 00:04:00
Additional Materials15 00:00:00
Unit 16: The apply Family – sapply & vapply
What is sapply? 00:02:00
How to use sapply 00:02:00
sapply with your own function 00:02:00
sapply with a function returning a vector 00:02:00
When can’t sapply simplify? 00:02:00
What is vapply and why is it used? 00:04:00
Mathematical functions 00:05:00
Data Utilities 00:08:00
Additional Materials 00:00:00
Unit 17: Useful Functions
Mathematical functions 00:05:00
Data Utilities 00:08:00
Additional Materials 00:00:00
Unit 18: Regular Expressions
grepl & grep 00:04:00
More metacharacters 00:04:00
sub & gsub 00:02:00
More metacharacters 00:04:00
Additional Materials 00:00:00
Unit 19: Dates and Times
Today and Now 00:02:00
Create and format dates 00:06:00
Create and format times 00:03:00
Calculations with Dates 00:03:00
Calculations with Times 00:07:00
Additional Materials 00:00:00
Unit 20: Getting and Cleaning Data
Get and set current directory 00:04:00
Get data from the web 00:04:00
Loading flat files 00:03:00
Loading Excel files 00:05:00
Additional Materials 00:00:00
Unit 21: Plotting Data in R
Base plotting system 00:03:00
Base plots: Histograms 00:03:00
Base plots: Scatterplots 00:05:00
Base plots: Regression Line 00:03:00
Base plots: Boxplot 00:03:00
Unit 22: Data Manipulation with dplyr
Introduction to dplyr package 00:04:00
Using the pipe operator (%>%) 00:02:00
Columns component: select() 00:05:00
Columns component: rename() and rename_with() 00:02:00
Columns component: mutate() 00:02:00
Columns component: relocate() 00:02:00
Rows component: filter() 00:01:00
Rows component: slice() 00:04:00
Rows component: arrange() 00:01:00
Rows component: rowwise() 00:02:00
Grouping of rows: summarise() 00:03:00
Grouping of rows: across() 00:02:00
COVID-19 Analysis Task 00:08:00
Additional Materials 00:00:00

Data Science: R Programming Online Course

4.9( 7 REVIEWS )
Duration: 6.83 Hours
Data Science: R Programming Online Course
  • Course Highlights

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Data Science: R Programming Online Course has been specially designed to help learners gain a good command of Data Science: R Programming Online Course, providing them with a solid foundation of knowledge to become a qualified professional.

Through this Data Science: R Programming Online Course, you will gain both practical and theoretical understanding of Data Science: R Programming Online Course that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.

Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.

  • Learning outcome
  • Get a deep understanding of the Data Science: R Programming Online Course just in hours not years
  • Familiar yourself with the recent development and updates of the relevant industry
  • Know how to use your theoretical and practical knowledge to adapt in any working environment
  • Get help from our expert tutors anytime you need
  • Access to course contents that are designed and prepared by industry professionals
  • Study at your convenient time and from wherever you want
  • Requirements
  • No formal qualifications required, anyone from any academic background can take this course.
  • Access to any internet-enabled smart device.
  • Why should I take this course?
  • 6+ hours of on-demand video lectures and downloadable resources.
  • Affordable premium-quality E-learning content, you can learn at your own pace.
  • You will receive a completion certificate upon completing the course.
  • Internationally recognized Accredited Qualification will boost up your resume.
  • You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
  • You will be able to incorporate various practical sales techniques successfully and understand your customers better.


Hear what our happy students want to say

Setup Menus in Admin Panel

Select your currency
    Your Cart
    Your cart is emptyReturn to Shop

    Upgrade to get UNLIMITED ACCESS to ALL COURSES for only$68.11 / year


    No more than 50 active courses at any one time. Membership renews after 12 months. Cancel anytime from your account. Certain courses are not included. Can't be used in conjunction with any other offer.

      Apply Coupon