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India: +91-9927099210, 9927099219 +91-9927099075 Nepal: +977-9821880560
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India: +91-9927099210, 9927099219 +91-9927099075 Nepal: +977-9821880560
Apply

MBA with Certification in Data Analytics From IIT/IIM’s

These Certificate Programs from IIT/IIM’s are designed for professionals and enthusiasts looking for in-depth knowledge and a solid career path in the sector. This will help them accentuate their skills and further in employment.

Course objectives:

  • To equip the participants with a workable knowledge of the subject
  • To keep participants abreast of how the area has changed and will continue to change in the future.
  • To familiarize yourself with cutting edge topics such as analytics, machine learning, and AI
  • To create a working knowledge of popular software used in the area
  • To give an avenue for those wanting to explore a career in the industry

 

Course Content in Data Analytics:

Modules:

  1. Introduction to Market Research & Business Analytics

  • Introduction to Market research
  • Role of market research & data analytics in industry
  • Data-Driven Decision making
  1. A Descriptive Analytics
  • Introduction to Descriptive analytics
  • Data collection – Structured and Unstructured
  • Data measurement Scales
  • Designing Questionnaire
  • Data summarization: tabulation, cross-tabulation, frequency distribution
  • Descriptive Statistics
  • Data Visualization
  1. Spreadsheet Modelling
  • Basics of spreadsheet modelling
  • Spreadsheet Modelling in Sales & Marketing
  • Spreadsheet Modelling in Operations Management
  • Spreadsheet Modelling in Financial Decision
  • Spreadsheet Modelling in HR Reporting
  1. Introduction to Multivariate Data Analytics
  • Factor analysis
  • Discriminant analysis
  • Conjoint analysis
  • Correspondence analysis
  • Multidimensional Scaling
  1. Time Series Models in Business
  • Introduction to Forecasting
  • Forecasting Techniques and Forecasting Accuracy
  • Pattern Recognition
  • Exponential Smoothing
  • Decomposition
  • ARMA
  • ARIMA
  • SARIMA
  1. Machine Learning Techniques: Supervised and Unsupervised Learning Techniques
  • Multiple Linear Regression
  • Logistics Regression
  • Regression model with Dummy variables
  • Decision Trees
  • Neural Network
  • Clustering
  1. Introduction to Prescriptive Analytics
  • Linear Programming for decision making
  • Multi-Criteria Decision Making Problems
  1. Emerging trends in Market Research
  • Recent developments and application areas in Marketing Research..