R Programming for Absolute Beginners

Understanding Fundamentals of R, Packages, Functions | Data Exploration, Analysis in R

R Programming for Absolute Beginners

What you’ll learn

  • Learn how to install packages in R, how to use Jupyter Notebook, Anaconda distribution.
  • Learn the fundamental principles of R programming.
  • Understand what is Data and different types of Data.
  • Learn how to create and assign variables.
  • Learn various data types and data structures in R.
  • Learn how to manipulate data in R.
  • Learn how to deal with NAs.
  • Understand what is Tidy Verse in R.
  • Practice working with dplyr packages and functions in R.
  • Practice working with Palmer Archipelago data set in R.
  • Learn to work with ggplot2() and its layers in R.
  • Learn how to read plots, convey results in R.
  • Learn how to visualize data in R, how to make aesthetically appealing plots.

Course Content

  • Getting Started : Installation and Set Up –> 4 lectures • 25min.
  • Handling Files in R –> 7 lectures • 45min.
  • R Basics : Variables and Data Types and Data Structure in R –> 19 lectures • 2hr 48min.
  • Data Manipulation in R | Introduction to dplyr , work with real data set –> 20 lectures • 1hr 47min.
  • Understanding Different Charts in ggplot2 –> 9 lectures • 30min.
  • Data Visualization in R with ggplot2 | Working with different layers in ggplot2 –> 9 lectures • 50min.
  • Bonus Section –> 1 lecture • 1min.

R Programming for Absolute Beginners

Requirements

  • Internet Connection.
  • Laptop or Desktop.
  • Infrastructure Support.
  • Willingness to learn.

R Programming for Absolute Beginners

You will Learn:

  • Learn the fundamental principles of R programming
  • Learn how to create and assign variables
  • Learn about integer, double, logical, character, and other types in R
  • Learn all data structures in R
  • Learn how to build data structures like vectors, matrices, factors in R
  • Learn how to work with data structures in R
  • Learn how to install packages in R
  • Learn how to use Jupyter Notebook, Anaconda distribution
  • Learn how to handle various files in R like CSV, Excel, and JSON files.
  • Learn how to create your own data frame in R
  • Understand various packages in R
  • Understand what is Tidy Verse in R
  • Practice working with dplyr packages and functions in R
  • Practice working with ggplot2 in R
  • Understand the utility of various plots
  • Learn how to read plots, convey results in R
  • Practice working with palmer archipelago data in R

Eligibility:

  • Anyone without prior coding or programming knowledge or experience
  • Anyone without Technical background
  • Anyone who wants to understand R from scratch, basic fundamentals and concepts
  • Anyone who is at a Beginner stage and wants to reach an intermediate level
  • Anyone who wants to learn R 

Benefits of the course:

  • Starts with very basic
  • Concept building and clarity
  • Learning with help of practical exercises
  • Bonus Lectures to further deepen the understanding
  • Quizzes after practical sessions to deepen the concepts
  • Resources at the end of the section to aid learning and quick revision