P G Diploma in Data Analytics

P G DIPLOMA IN DATA ANALYTICS @ IMR SMART SOLUTION

P G Diploma Program

PG Diploma course in Data Analytics is ideal for all working professionals and prior programming knowledge is not required. It covers job-critical topics like data analysis, data visualisation, regression techniques, supervised learning and unsupervised learning in-depth. This data analytics course is designed to make the learner understand how to extract information from historical data and use it to predict future data trends and behavioural patterns, through interactive hands-on training given by seasoned industry-experts. This course describes how one can turn the sheer complex data into a competitive advantage with the efficient use of data analytics & thereby fostering / supporting business decision making. 

Key Highlight of the Program

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  • Our trainers and coaches are experts in their fields of study, with intensive knowledge
    and industry experience that guide their teaching methodologies.
  • Each course is designed by industry-experts aligned to market demand.
  • Learn what is necessary, experiential
    and hands on.
  • Certifications recognized not just in India but globally.
  • Build your learning credentials and use them for pathways to International Universities.

About P G Diploma Data Analytics Program


ABOUT THE PROGRAM

  • Duration– 10 Month ( 240  Contact hours + 60 hours Capstone Project)
  • Eligibility – Minimum Qualification +3 Degree (any Graduate)
  • Skill Required– Basic Computer Knowledge with Programming
  • Registration Fee – Rs. 1000/- + GST
  • Courses Fee – Rs. 75000/- + GST

DETAILS COURCE MODULES

SEMESTER-I

  • Introduction to Data Science
  • Introduction to Data Management
  • Introduction to Business Metrics
  • Introduction to Applied Business Statistics
  • Statistical Computing
  • Statistics using Python
  • Big Data Analytics
  • Real Time Systems
  • Health care Data Analytics
  • Web Intelligence

SEMESTER-II

  • Regression and Classification for Business Applications
  • Machine Learning
  • Tools and Techniques of Data Visualization and Communication
  • Time Series Modelling
  • Next Generation Databases
  • High Performance Computing
  • Behavioural Data Analytics
  • Image and Video Analytics
  • Social Networking and Mining
  • Financial Risk Analytics and Management
  • Project