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)