Course Description

R is a powerful language used widely for Data Analysis. Leveraging Analytics and R will enable effective analysis of data and answer key business questions.

John Wiley & Sons, Inc. USA

Established in 1807, Wiley is a global provider of content-enabled solutions to improve outcomes in research, education and professional practice with online tools, books, and eLearning trainings. Wiley’s strength lies in every major scientific, academic, and professional field.

Course curriculum

  • 1

    2.1 Understanding Analytics

    • 2.1.1 Approaches to Analytics

    • 2.1.2 Understanding Analytics Part-1

    • 2.1.3 Understanding Analytics Part-2

    • P.2.1 Understanding Analytics
  • 2

    2.2 Analytics Tools

    • 2.2.1 Analytical Models and Approaches

    • 2.2.2 Integrating Big Data in Organizations

    • 2.2.3 Popular Analytical Tools

    • P.2.2 Analytics Tools Part-1

    • P.2.2 Analytics Tools Part-2
  • 3

    2.3 Exploring R

    • 2.3.1 Introduction to Rstudio

    • P.2.3 Exploring R Part-1

    • P.2.3 Exploring R Part-2
  • 4

    2.4 Reading Datasets into R, Exporting Data from R

    • 2.4.1 Saving and Loading Objects

    • 2.4.2 Reading Datasets and Exporting Data from R

    • P.2.4 Reading and Exporting Datasets to R Part-1

    • P.2.4 Reading and Exporting Datasets to R Part-2
  • 5

    2.5 Manipulating and Processing Data in R

    • 2.5.1 Parallel Processing in R

    • 2.5.2 Manipulating and Processing Data in R Part 1

    • 2.5.3 Manipulating and Processing Data in R Part 2

    • P.2.5 Manipulating and Processing Datesets into R Part-1

    • P.2.5 Manipulating and Processing Datesets into R Part-2