R for Beginners

Learn Programming in R and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR

Created by Prashanth Chidambaram, Last Updated 23-Sep-2020, Language:English

What Will I Get ?

Basics of R Programming
Learn to work with R and R Studio IDE
Build algorithms using logical and conditional operators as well as loop statements
Analyze large data-sets, and reproduce results in R/Excel
Thoroughly understand data structures in R and apply them as appropriate
Good working knowledge of stringr and dplyr packages
Understand basics of Data Science

Requirements

R and R Studio
PC with Windows/Mac OS
Internet Connection
MS Office Excel

Description

R For Beginners: Learn Basics of R Programming and gain one of employer's most requested skills in 2020!

Data Science is all about using data to solve some of society's most pressing problems. Harvard Business Review touted Data Science as the sexiest job of the 21st century, and no wonder Data Science is considered the future! with zettabytes and yottabytes of structured and unstructured data floating everyday, it calls for very unique skillsets to uncover hidden patterns and generate valuable insights from data.

This course covers the basics of R/ R Studio Programming and several practical exercises relating to data science such as data analysis, building algorthims, generating insights and data visualization.

R Programming is often associated with having a very steep learning curve and many students give up feeling overwhelmed by the language. The 'R for Beginners' course follows a step by step approach, combining conceptual learning with hands-on assignments, quizzes and real world projects.

Moreover, we would learning R Programming, with R Studio an IDE for R Programming, with a console, syntax editor for executing R code and debugging, as well as advanced tools for data visualization such as plots and maps.

At the end of this R/R Studio Programming course, you would be able to understand and apply basics of R/R Studio programming, analyze large data sets, export your findings onto excel, visualize data and even build your own algorithms!

Who is this course aimed at

- Beginners who have no coding background in R Programming or otherwise

- Aspiring as well as professional data analysts, statisticians and programmers

Course Content

Getting started with R!

4 Lectures 00:12:16
- Setting up R and R Studio
  
  Preview
  
  00:02:00
- Understanding R Studio: Layout and Features
  
  Preview
  
  00:03:09
- Learn how to Import Files
  
  00:05:03
- Updating Libraries
  
  00:02:04
Fundamentals of Programming

4 Lectures 00:27:56
- Data Types and Data Structures
  
  Preview
  
  00:03:13
- Conditional Operators: If-else and Nested if - else if - else statements
  
  00:06:18
- Logical Operators: AND, OR and NOT
  
  00:06:46
- Build and Break For and While Loops!
  
  00:11:39
Data Structures in R

10 Lectures 01:12:16
- Vectors: Character, Numeric, Complex and Logicals
  
  00:12:47
- Going through vectors operations
  
  00:07:47
- Word Game: Transforming words to Pig Latin
  
  Preview
  
  00:05:56
- More vector functions: any(), rep() and all()
  
  00:05:14
- Working with Films using Lists
  
  00:14:32
- Matrices
  
  00:05:49
- Preparing class report with a matrix
  
  00:06:02
- Introduction to Data Frames
  
  00:03:44
- Exploring more about data frames
  
  00:03:55
- Working with MT Cars Dataset
  
  00:06:30
In Class Exercises

3 Lectures 00:51:59
- Using Loops in Finance - Part 1
  
  00:07:19
- Using Loops in Finance - Part 2
  
  Preview
  
  00:20:03
- Building the EPL Score Table!- Using Dplyr
  
  00:24:37
Bonus Section: Visualizing Data!

1 Lectures 00:04:36
- Scatter and Line Plots
  
  Preview
  
  00:04:36

Prashanth Chidambaram

Educator

Prashanth Chidambaram has a Bachelors in Chemical Engineering , MBA in Finance and Operations as well as an Associate's Degree in Piano.

Currently he works as an analyst with a management consulting firm and has worked on projects spanning network design and optimization, inventory planning, demand forecasting and has helped clients accelerate their digital journey.

As an educator, he runs an education services firm that provides music lessons to K-12 as well as pre-school students.

Feel free to contact him for more information on online classes, guidance, as well as for new courses.