Programme highlights

Placement assistance

All the students would get placement assistance and help in cracking interviews

Mock interview will be conducted those interested 

Duration : 2 MONTHS

Weekdays : 9 am to 11 am

Week ends: 

Saturday: 9 am to 1 pm Sunday: 9 am to  1 pm

Total Hours: 40 hr

Training Material

Training Material will be provided to student module wise

Industry Experts as faculty

Instructors are having industry experience and would relate all the training to industry use case

Course Fees

 Course Fee: Rs. 30,000 (Classroom)

                           Rs. 25,000  (Online live)

The fees can be paid in 3 installments


Certification would be provided if student completes the project work and all assignments

Course Content


LESSON ONE – Introduction to Business Analytics

 Overview ● Business Decisions and Analytics ● Types of Business Analytics ● Applications of Business Analytics ● Data Science Overview ● Conclusion ● Knowledge Check 

LESSON TWO – Introduction to R Programming

  Overview ● Importance of R ● Data Types and Variables in R ● Operators in R ● Conditional Statements in R ● Loops in R ● R Script ● Functions in R ● Conclusion ● Knowledge Check 

LESSON THREE – Data Structures

 Overview ● Identifying Data Structures ● Demo: Identifying Data Structures ● Assigning Values to Data Structures ● Data Manipulation ● Demo: Assigning values and applying functions 

LESSON FOUR – Data Visualization

  Overview ● Introduction to Data Visualization ● Data Visualization using Graphics in R ● ggplot2 ● File Formats of Graphic Outputs ● Conclusion ● Knowledge Check 

LESSON FIVE – Statistics for Data Science - I

 Overview ● Introduction to Hypothesis ● Types of Hypothesis ● Data Sampling ● Confidence and Significance Levels  Hypothesis Test ● Parametric Test ● Non-Parametric Test ● Hypothesis Tests about Population Means ● Hypothesis Tests about Population Variance ● Hypothesis Tests about Population Proportions 

Use of R Programming & Projects

 Regression Analysis, Classification , Clustering , Association  

  • 5 Projects
  • 10 Assignments
  • 2 Exam