Key Topics covered in the course

Introduction to Data Science and Machine Learning
Handling and Preprocessing Data
Data Exploration
Building your first Predictive model 
Learn about ML models such as
Linear Regression
Logistic Regression
Generalized Linear models
Decision Tree
KMeans 
How to evaluate an ML model
Exploring Unsupervised Machine Learning