R Programming : Data Analysis and Visualisations using R [FREE]

Free Certification Course Title: R Programming : Data Analysis and Visualisations using R

Learn how to use the R programming language for Data Analysis and Data visualization!(GGPlot2, Statistical, Packages)

R Programming : Data Analysis and Visualisations using R

What you’ll learn:

  • Master the use of the R and R Studio interactive environment
  • How to download R programming language and R Studio IDE
  • Getting familiar with the Console, Script, Environment, Help, and Plots panels.
  • Understanding different data types in R
  • How to create, manipulate and work with different data types like Vectors, Matrices, Lists, Arrays, and Data frames.
  • Installing and loading the Packages in the R environment.
  • Reading and writing various Data Files like CSV, Xls, XML, JSON, xlsx, txt.
  • Using various functions associated with the data frames and performing data manipulation on the data frames/files.
  • Performing data Transformation and data analysis on the data files and data frames.
  • Getting familiar with the packages: ggplot2, tidyverse, dplyr, plotly
  • How to load and work upon various datasets which are native to R.
  • Performing data visualization by creating various plots.
  • learn to draw plots in R studio: Pie Charts, Bar Charts, Box plots, Histograms, Line Graphs, Scatter Plots.
  • Learn how to draw some advanced plots like Density charts, Bubble plots, lollipop charts, 3D charts in R studio
  • How to perform Data Analysis and Visualization using R in R studio.
  • Install External Libraries to Power up R
  • Compute Basic Statistics about a Dataset
  • Develop your own Functions in R

Requirements:

  • No prior knowledge of R or R Studio is required. You will learn all from the basics.

Who this course is for:

  • For the Beginners who want to learn the R programming language to perform data analysis and Visualization. It will be helpful for those who are curious about Data Science, as it is part of data science.
  • Data Analysts
  • Software Engineering Undergraduates
  • Data Scientists
  • Data Engineers
  • R learners
  • Statisticians
  • Researchers
  • If you want to learn R by doing
  • If you like exciting challenges

This course includes:

  • 3.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion