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CCNA Training in Noida

Executive Programme in Business Analytics (EPBA)

 

Course Objective

The use of business analytics has grown exponentially in all areas including financial services, healthcare, government, retail, e-commerce, media, manufacturing, and the service industry. This has led to an increase in the demand for employees with an analytical approach and who can utilise data, understand statistical and quantitative models and are able to make data-driven business decisions. The Executive Programme in Business Analytics by IIM Lucknow is designed to give participants a comprehensive understanding of the approaches and methods involved with a proven pedagogy and delivered Direct-to-Device (D2D) on the participant’s desktop, laptop, tablet or smart phone.

Programme Highlights:

  • 11-month intensive programme with 2 campus immersions of 3 days each at IIM Lucknow
  • Live interactive instruction sessions delivered by expert faculty from IIM Lucknow
  • Direct-to-Device (D2D) programme accessed by smart phone/tablet/laptop/desktop
  • Action Learning Project on a new developmental or problem-solving initiative
  • Peer-Learning and networking opportunity facilitating exchange of perspectives and ideas
  • IIM Lucknow Management Development Programme (MDP) certification and alumni status

In-Campus Component

The six days with 2 campus immersions module provides participants an orientation towards case based learning, foundation to analytical thinking and orients them to the learning culture of IIM Lucknow apart from discussions on contemporary issues in management practice and trends in the industry and business.

Programme Curriculum
  • Introduction to Analytics
  • Data Life Cycle
  • Descriptive Statistics
  • Introduction to Python
  • Probability Models
  • Sampling and Statistical Inference
  • Chi Square tests
  • Analysis of Variance
  • Multiple Linear Regression
  • Logistic Regression
  • Optimization
  • Simulation
  • Multivariate Analysis
  • Time Series and Forecasting
  • Data warehousing
  • Data Preparation
  • Artificial Intelligence and Machine Learning
  • Text Mining
  • Web and Recommender System
  • Social Media Analytics
  • Big Data
  • Analytics in Marketing
  • Analytics in Finance
  • Analytics in HR
  • Cases and Presentations