It is evident that Analytics is an upcoming domain which has been recognised as an important and obligatory practice to be adopted by almost all business organizations irrespective of their size and line of activities. A significant capability enhancement has taken place, particularly in the last decade regarding data or information acquisition. This has led to the need of analysing the same for taking out meaningful insights and then plugging those with the decision making and updating policies for better organizational functions.
If you want to succeed in any industry, you need to study newer trends & improvise in your processes. There is practically no sector which has remained untouched from the reach of . Data analysts, with the right set of skills and expertise; are in demand in a wide range of industries where businesses are realizing the potential of enabling analytics in their organization.
Though the demand for Data Analysts in our country and abroad is significantly high, there is a huge dearth of skilled professionals in the respective field. The PGD in Predictive Analytics has been conceptualised to prepare students in Predictive Analytics, who are keen to make career in this exciting field.
One year course
Full-time Classroom sessions
Objective of the Course:
To enable students with in-depth understanding of the key technologies used in analytics, viz. data mining, machine learning, visualization techniques and statistics. This course describes how one can turn the sheer complex data into a competitive advantage with the efficient use of & thereby fostering / supporting the decision making.
Graduates with minimum 50% from any recognized University.
Candidates from Engineering / MCA /BCA / Mathematics / Economics background will get an edge over the remaining applicants.
The Total fee for the Post Graduate Diploma in Predictive Analytics is Rs. 2,16,530/-
Semester - 1
Introduction to Data Sciences
Introduction to Data Management
Introduction to Business Metrics
Introduction to Applied Business Statistics
Statistics using R
Big Data Analytics
Real Time Systems
Health care Data Analytics
Semester - 2
Regression and Classification for Business Applications
Tools and Techniques of Data Visualization and Communication