Module 1 : Data Analysis and Visualization Using Python

Module 2 : Data and Descriptive Statistics

Module 3 : Probability Basics and Distributions

Module 4 : Understanding Normal Distribution

Module 5 : Hypothesis Testing and Statistical Inference

Mini Project : Applied Statistics With Mini Project

Module 1: Introduction to SQL and Database Fundamentals

Module 2: Basic SQL Commands and Database Design

Module 3: Data Manipulation and Querying Using SQL

Module 4: Advanced SQL Queries and Joins

Module 5 : Subqueries, Windows Function And Project

Mini Project – Supply Chain Management SQL Case Study.

Module 1 : Introduction to Machine Learning and Data Preprocessing

Module 2: Regression Techniques in ML

Module 3 : Classification Algorithms in ML

Module 4 : Time Series and Unsupervised Learning

Module 5 : Recommender Systems and Deep Learning

Mini Projects – Churn Prediction, Air Pollution Prediction, Books Recommender System, Dog Breed Classification, Loan Default Prediction.

Module 1 : Introduction to Data Engineering and its Ecosystem

Module 2: Data Ingestion, Cleaning and Transformation with Python

Module 2: Data Ingestion, Cleaning and Transformation with Python

Module 3 : Data Storage, ETL Pipelines and Workflow Orchestration

Module 4: Cloud Integration, Project Deployment and Final Project

Module 1 : Capstone Planning and Problem Identification

Module 2: Data Acquisition and Pipeline Design

Module 3 : Data Storage and Processing

Module 4: Cloud Integration, Deployment, and Monitoring

Module 5: Final Presentation and Evaluation