Fundamentals of Data Science Programming using R

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

  • Introduction to R programming language
  • Concepts explained in English and Malayalam
  • E certificates for attendees
Course Fee : ₹900.00/-
Request Call Back

KNOWLEDGE PARTNER

Course Curriculum

DAY 1

Introduction to data science

  • Significance and scope
  • How to become a data scientist  
  • Frameworks and programming languages in data science

 

Introduction to R programming

  • Familiarization of basic operations in R
  • Variables, basic data types and managing data
DAY 2

Dealing with data in R

  • Dataframes, vector, matrices etc.

 

Conditional statements and looping in R programming

DAY 3

Vectorization

  • Significance of vector operations in R
  • Apply () family of functions

 

Data wrangling using R

  • Perform basic operations such as select, filter mutate etc on real data sets to do basic analysis on data

About the course

Data science has taken the world by storm. People are becoming increasingly aware of the value of the huge amount of data being created, which impacts every field of study and business. But to extract useful information from this data, you need to acquire the right skills. R programming language has become the standard for data science programming. Its flexibility, power, sophistication, and expressiveness make it an important tool for data scientists all over the world. R is a powerful language that is often used for statistical computing. Today, we utilise data science to discover patterns in data and to draw conclusions and make predictions based on these patterns. The classes will be conducted live and subscribers can access the recorded video classes of the live sessions for a duration of three months. After the successful completion of classes, e-certificates will be issued by Manorama Horizon.

Eligibility

Recommended for anyone who passed Class XII with mathematics as one of the subjects. 

System Requirements

This course requires a system with a steady internet connection

Class Timings

Date : 19th April 2023 - 21st April 2023

Time : 7:30 PM to 9:30 PM IST

Resource Person

Dr. Ebin Deni Raj

Head of Data Science Research Group
Associate Dean(Academic Affairs) at Indian Institue of Information Technology, Kottayam

Knowledge Partner