Navigating the Data Landscape
A Journey Through Data Science and Business Analytics
Noman H Chowdhury
PhD, MBA, BSc
Table of content
Introduction
Ch 01: Overview of DS and BA
Ch 02: Intro to R Programming
Ch 03: Intro to Python Programming
Ch 04: Data Structures and Libraries
Ch 05: Data, exploration, Hypo Test
Ch 06: Principles of Statistical and Machine Learning
Ch 07: Regression and Model Evaluation
Ch 08: Classification Techniques
Ch 09: Decision Trees and Clustering Methods
Ch 10: Treatment effect and Experimental Design
Ch 11: Web Scraping and Data Retrieval Techniques
Ch 12: Data preparation and Missing Data handling
Ch 13: Model Validation and Performance Metrics
Ch 14: Feature Engineering and Dimensionality reduction
Ch 15: Optimization Methods
Ch 16: Time Series Analysis and Anomaly Detection
Ch 17: Text Mining and Natural Language Processing
Ch 18: Association Rule Mining and Market Basket Analysis
Ch 19: Sentiment Analysis and Opinion Mining
Ch 20: Domain-Specific Applications of Data Analytics