Learning R Programming for Data Science

Beginner to Intermediate R Programming Language Training Course

Ratings 4.54 / 5.00

What You Will Learn!

Describe Data Science and Big Data
Identify the importance of Data Science
Describe main tools used in Data Science
Explain steps of a Data Science project
Recognize the main environment and files of RStudio
Perform arithmetic calculations in R
Solve simple data problems using vectors, matrices, factors, data frames, and lists in R
Use Operators and Conditional Statements to perform comparison and controlled-flow data problems in R
Solve data problems using Loops in R
Use base R functions and create user-defined functions in R
Get and clean external data in R
Plot data in R using Base Plotting
Install and use different R Packages
Analyze data using helpful functions in R such as base mathematical functions, Apply family, Regular Expressions, and Dates & Times
Manipulate datasets in R using dplyr package

Description

This course puts the participant in the right path to become a competent Data Scientist by teaching him/her the basics of R Language as one prominent tool in Data Science.

The course starts by introducing Data Science and the steps taken to complete a Data Science project. Then it continues with lectures on various methods and functions of R enabling the participant to start his/her journey towards becoming a Data Scientist with R.

In this course participants will learn how to install and configure R and RStudio. Besides, participants will be able to create various data structures such as Vectors, Matrices, Factors, Data Frames, and Lists. They will solve simple data problems using Operators, Conditional Statements, Loops, base and user-defined functions. Participants will understand and use different data gathering and manipulation methods such as getting and cleaning external files, the Apply family, Regular Expressions, Dates & Times, Base Plotting, and the dplyr package.