# 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)

#### What you’ll learn:

• Master the use of the R and R Studio interactive environment
• 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.
• 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
• 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