• University of Global Village(UGV)
  • |
  • Iversity part of Springer Nature

Data Science with R

Data Science with R

Data Science with R

Learning Outcomes

After attending the course, the participants:

  • Will be able to demonstrate understanding of basic Data Science concepts
  • Will be able to demonstrate knowledge of R programming constructs
  • Will be able to demonstrate knowledge of data handling, data visualization and analytics using different R libraries like dplyr, ggplot2, caret, etc.
  • • Will be able to demonstrate knowledge of data pre-processing and basics of model training and evaluation.

Details Plan:

• Introduction to Data Science.

• Starting to program in R.

• Data types in R.

• Loops and conditionals.

• Functions.

• R libraries.

• Data handling.

• Data pre-processing.

• Data holdout.

• Introduction to modelling.

Pre-requisite:

• Basic programming knowledge.

Duration

• 20 Hours