Data Science Curriculum

1. Introduction to AI & Data Science

• Justification of AI & Data Science
• Introduction to Data Science
• Machine Learning Concepts

2. Introduction to Python

• Python Important Features
• Interfaces or Software to Execute Python
• Python Basics
• Types of Operators in Python
• Control Statements in Python
• Functions in Python
• Packages & Modules in Python
• Exception Handling in Python

3. Python Data Structures

• Python Data Structures
• List Data Structures
• String Data Structure
• Sets and Tuples
• Dictionaries
• Files Concept in Python
• Regular Expressions

4. Object-Oriented Programming (OOP) in Python

• Object-Oriented Programming in Python

5. Data Analysis with Python

• Numpy Module
• Pandas Module
• Numpy Arrays
• Pandas Series Operations
• Pandas Aggregate Functions
• Pandas Aggregate Operations (Continued)
• Matplotlib Module
• Statistics
• Exploratory Data Analysis (EDA)
• EDA Continuation

6. SQL and Database Management

• Introduction to DBMS
• SQL Introduction
• SQL DB Creation
• SQL Concepts – SELECT, JOINS, WHERE CLAUSE
• SQL – CASE Statements
• SQL Ranking

7. Machine Learning with Python

• Simple Linear Regression
• Multiple Linear Regression
• Logistic Regression with Python
• Confusion Matrix, ROC Curve
• Naive Bayes ML Algorithm
• Hypothesis Testing for t-test
• Two Sample t-test
• Polynomial and Exponential Regression

8. Real-Time Tasks

• Exploring Wine Quality: A Data-driven Analysis and Classification Approach
• A Data-Driven Approach for Predicting Boston House Prices
• Stock Market Prediction and Forecasting: An Ensemble Learning Approach
• Analyzing and Predicting Movie Ratings: A Comprehensive Study on the IMDb Movie Dataset
• Identification and Analysis of Chronic Disease Indicators: A Data Science Perspective
• Analysis of Titanic Passengers Survived using Logistic Regression
• Analysis of Different Car CO2 Emission Models using Multiple Linear Regression
• Analysis of Sales Prices for TV Marketing using Simple Linear Regression
• Analysis of Bank Dataset Using Exploratory Data Analysis