Block I — Introduction

Block I lays the foundation: what data science is and does, followed by the R-based toolkit — data preparation, visualization, the machine-learning analytical cycle, descriptive statistics, and inferential testing — that the rest of this book builds on.

Unit I — Introduction to Data Science

  1. Introduction to Data Science
  2. Fundamentals of Analytics, Intelligence and Machine Learning

Unit II — Fundamentals of Research

  1. Fundamentals of R and R Studio
  2. Data Preparation and Transformation in R
  3. Data Visualization in R
  4. Understanding the Machine Learning Analytical Cycle
  5. Descriptive Analytics
  6. Fundamentals of Statistical Tests
  7. Inferential Statistical Techniques