Chapter 1

Introduction to Business Analytics

Definition, scope, and history of Business Analytics

medium • 1 min read

The Analytics Spectrum (Descriptive, Predictive, Prescriptive, Cognitive)

medium • 2 min read

Data-driven decision making framework

medium • 3 min read

Types and characteristics of Big Data (The V's of Big Data)

medium • 4 min read

Ethical considerations and privacy in data analytics

medium • 5 min read

Chapter 2

Data Lifecycle and Methodology

The CRISP-DM methodology

medium • 1 min read

Data collection and ingestion processes

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Data cleaning, imputation, and preparation

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Exploratory Data Analysis (EDA) basics

medium • 4 min read

Feature engineering and selection concepts

medium • 5 min read

Chapter 3

Descriptive Analytics

Role of descriptive analytics in reporting

medium • 1 min read

Key Performance Indicators (KPIs) and metrics design

medium • 2 min read

Data aggregation and multidimensional reporting (OLAP)

medium • 3 min read

Dashboarding concepts and visual storytelling

medium • 4 min read

Business Intelligence (BI) tools overview (Tableau, PowerBI)

medium • 5 min read

Chapter 4

Predictive and Prescriptive Analytics

Overview of predictive modeling and forecasting

medium • 1 min read

Supervised vs Unsupervised learning capabilities

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Simulation techniques and Monte Carlo methods

medium • 3 min read

Optimization models (Linear programming basics)

medium • 4 min read

Decision trees and prescriptive decision matrices

medium • 5 min read

Chapter 5

Analytics in the Enterprise

Building an analytics-driven culture

medium • 1 min read

Structuring the data science/analytics team

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Translating analytics into business value (ROI)

medium • 3 min read

Analytics in different domains (HR, Finance, Marketing, SCM)

medium • 4 min read

Current trends: AI, MLOps, and automated machine learning (AutoML)

medium • 5 min read