Any Engineering /Science graduate with mathematics up to 10+2 level.
Sound knowledge of Computing Fundamentals and Fundamentals of Programming, Database Technology and Java Programming.
The objective of this course is to provide the student with hands on experience in Big Data Analytics.
|
Sr No
|
Modules
|
Hours
|
|
1
|
Big Data Fundamentals
|
30
|
|
2
|
Statics with R
|
90
|
|
3
|
Data Visualization - Analysis and Reporting
|
40
|
|
4
|
Business Analytics
|
60
|
|
5
|
Effective Communication and Soft Skills
|
60
|
|
6
|
Project
|
40
|
|
|
Total
|
320
|
