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