Course Modules:

 

MODULE TOPIC Hours
I. Introduction to Data Analytics - Introduction to SPSS, Jamovi and R Studio 12
- Introduction to Data Analytics
- Concept of Primary Data and Secondary Data
- Concept of Supervised and Unsupervised learning
II. Statistical Theory and Application in Data Analytics - Frequency Distribution Graphical Analysis 12
- Measures of Central Tendency, Dispersion, Moments, Skewness, Kurtosis
- Simple Correlation and Simple Regression
- Theory of Probability, Discrete Probability Distribution
- Binomial, Poisson, Hypergeometric
- Continuous Probability Distribution
- Normal Distribution, t-distribution, F-Test, Chi Squared Distribution, Jacobian of Transformation
- Sampling and Distribution
- Testing of Hypothesis, Analysis of Variance
- Basics of numeric analysis
III. Multivariate Analysis using Application Software - Multiple Regression 12
- Factor Analysis
- Logistic Regression
- Discriminant Analysis
IV. Analytical Corporate Valuation: Financial and Cost Modeling using Spreadsheets - Company Business Model Analysis 12
- Company Profitability Analysis
- Product Profitability Analysis
- Financial Statements and Projections
- Discounted Cash Flow Analysis, Comparable Company Analysis, Precedent Transactions Analysis etc.
V. Time Series and Forecasting using Appropriate Software - Security Analysis and Stock Selection 12
- Portfolio Analysis
- Markowitz Efficient Frontier
- Forecasting of Stock Data