Data Analytics Using R Programming

by DigiStacKedu Claim Listing

R is a very popular programming language that is widely used for data mining and analysis. In this course, you'll learn about R programming advanced concepts with R data analytical libraries apart from this, you will work on live projects with our experts.

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1 Month

Course Details

R is a very popular programming language that is widely used for data mining and analysis. In this course, you'll learn about R programming advanced concepts with R data analytical libraries apart from this, you will work on live projects with our experts.

This course focuses on how to clean, process, and analyze different varieties of data, how to create a data frame, how to handle missing values, and how to do predictive analytics.

This is one of the best courses by which you can upgrade skills in data analytics, you will get a top-level instructor and work on R Studio apart from this you will get a chance to work on a real-time project.

We will start this course with basics of R programming and then you will move to the R advance level libraries that is required to do data analysis like ggplot, dplyr and Mice a part from this,you will learn how to analyze different types of data and how to visualize and generate reports.

 

Course Syllabus:

  • Module 1: An Introduction to R Programming Language.
  • Introduction to R Programming.
  • Variables,data type and operators in R.
  • Type casting and user input in R.
  • Basic problem solving skills in R.
  • Working on R Vectors.
  • Understanding Arithmetic Operators.
  • Working on Logical Operators.
  • How to Create a Matrix in R.
  • Matrix Manipulation rbind and cbind functions.
  • Understanding Slice a Matrix.
  • Working on Factors and Categorical Variables.
  • Module 2: R If and Else Control Structure.
  • Module 3: R Programming - Loop Control Structure.
  • Module 4: Working on Data Frame in R Programming.
  • Module 5: Handling Missing Values Using R Programming.
  • Module 6: Visualization in R using GGPlot2
  • Module 7: GroupBy and Select Operation in R.
  • Module 8: Inferential statistics in R programming.
  • Module 9: Advance Analytics Using R Programming
  • Module 10: Project Development in R.
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