• Sl. No.
• Chapter

• Chapter - 1
• Getting Started With Python

• Chapter - 2
• Python for Data Science(NumPy, Pandas , Matplotlib , Seaborn)

• Chapter - 3
• Exploratory Data Analysis

• Chapter - 4
• Data Analysis Using SQL

• Chapter - 5
• Statistics

• Chapter - 6
• Hypothesis Testing

• Chapter - 7
• Machine Learning :- Supervised Learning (Regression)

• Chapter - 8
• Logistic Regression

• Chapter - 9
• Decision Trees

• Chapter - 10
• Classification Techniques - CART

• Chapter - 11
• Support Vector Machine(SVM)

• Chapter - 12
• Unsupervised Learning : Clustering

• Chapter - 13
• Principal Component Analysis (PCA)

• Chapter - 14
• Ensemble Modelling

• Chapter - 15
• BI Tools:- Tableau Basics