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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesIIFT Delhi

Eligibility Criteria

Graduation degree from recognized University OR Diploma holders with two years of post-diploma work experience. Candidates will be short- listed based on their profile- qualifications, experience etc. If required on-line interview will be conducted.

The Syllabus

  • Basic Statistical Concepts
  • Decision Making and Problem-Solving Framework
  • Database concepts Data Preparation
  • Decision Modelling Methods, Exploration
  • Stochastic Modelling & Simulation,
  • Variable Association, Classification & Regression
  • Data Visualization and Graphics
  • Content Analysis
  • Network Concepts and Network data Analysis
  • Overview of Business Intelligence tools in the industry
  • Power BI: a Microsoft product
  • Create Reports, Modify reports with Visualizations
  • Shaping, Combining and Merging Data.
  • Use BI on mobile app & BI desktop

  • Shift Share Analysis
  • Revealed Comparative Advantage index
  • Revealed Comparative Disadvantage index
  • Export Intensity Index
  • Revealed Trade Barrier Index
  • Regional Orientation Index
  • Export Specialization Index and Trade Balance
  • Unit Price Ratio
  • Export Diversification (or Concentration) Index
  • Export Instability Index
  • Extensive and Intensive Margin
  • Unit Price and Market Share analysis
  • Constant Market Share (CMS) Analysis
  • Trade Complementarity index
  • Export Similarity Index
  • Tariff and Non-Tariff Barriers
  • Introduction and Hands-on with SMART

  • Big data analytics and descriptive statistics
  • Churn analysis
  • RFM analysis
  • Market basket analysis
  • Market segmentation using cluster analysis
  • Predictive analytics in a big data world
  • Inferential statistics with applications
  • Regression model building and deployment
  • Forecasting techniques
  • Analytics for product development and pricing strategy
  • Product positioning
  • Nonlinear innovation diffusion models

  • Web Analytics Primer (Metrics as KPIs, Clickstream analysis, Heat mapping)
  • Search Engine Optimization (On-page and off-page optimization techniques, White / Black / Gray SEO)
  • Search Engine Marketing (Pay per click advertising, Search engine advertising, Display advertising)
  • Email Marketing (Subscriber management, creating an email copy, Laws and guidelines, Analytics)
  • Social Media Marketing (Rented and earned media, Creating and managing a business page, Social plug-ins, YouTube
  • Marketing, Analytics and Insights)
  • App-Based Marketing (Do’s and don’ts of app-based marketing)
  • Multichannel Analytics
  • Emerging Analytics: Social, Mobile, and Video

Instructors

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