Introduction
  • Common myths
  • What is Data Science and Big Data
  • Applications
  • Steps
  • Common Terminologies
Understanding data
  • Types of Data Analytics
  • Predictive Problems
Machine Learning Models.
  • Types
  • Supervised Machine Learning.
  • Unsupervised Machine Learning.
Technologies
  • Data Scientist and Technologies
Recap
  • Recap