Data Science · Level 3

Statistical Modeling & Predictive Analytics

By SRTR Academy Faculty

4 modules · 17 lessons · 9 videos · 20 hrs

Hypothesis testing, A/B testing, regression models, time series analysis, feature engineering

What you will learn

Module 1: Statistical Inference
- 🎬 Population vs sample and sampling methods — free preview
- 📄 Confidence intervals and hypothesis testing
- 🎬 t-tests, chi-square, and ANOVA
- 📄 p-values and statistical significance
Module 2: Regression & Predictive Models
- 🎬 Multiple linear regression — free preview
- 📄 Logistic regression for classification
- 🎬 Regularization: Lasso, Ridge, ElasticNet
- 📄 Model diagnostics and assumptions checking
Module 3: A/B Testing & Experimentation
- 🎬 Designing controlled experiments — free preview
- 📄 Sample size calculation and power analysis
- 🎬 Analyzing A/B test results
- 📄 Common pitfalls and best practices
Module 4: Time Series & Feature Engineering
- 🎬 Time series decomposition — free preview
- 📄 ARIMA and exponential smoothing
- 🎬 Feature engineering techniques
- 📄 Automated feature generation
- 🎬 Building an end-to-end predictive pipeline