A-1 Python Programming Essentials I - Variables, Expressions, and Control Statements
A-2 Python Programming Essentials II - Functions and Data Structures
A-3 Python Libraries for Data Science - NumPy
A-4 Python Libraries for Data Science - Pandas
A-5 Python Assignment
A-6 Business Intelligence (using Power BI)
A-7 Practical Data Considerations: Data Cleaning and Preparation Course Project: Python
A-8Identify organizational uncertainties

B-1 Understanding the Business Problem
B-2 Time Series Forecasting
B-3 Exploratory Data Analysis

C-1 Visualizing perceptual data
C-2 Interpreting visualizing output
C-3 Visualization using Tableau
C-4 Data Storytelling: Narrate Stories in a Memorable Way
C-5 Project on deriving business insights and storytelling

D-1 Supervised ML
D-2 Predictive Analysis (Linear Regression, Logistic, Lasso, Ridge, K-Means)
D-3 Introduction to Ensemble Models: Random Forest & Boosting

E-1 Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
E-2 Classification & Regression Models using Neural Networks
E-3 Introduction to Deep Learning
E-4 Introduction to Convolutional Neural Networks
E-5 Introduction to Natural Language Processing
E-6 Modelling on Text data Assignment
E-7 Executing AI Strategy