Data Science Syllabus
Duration:3.5 Months | Fee: ₹30000/-
1. Introduction to AI & Data Science
- Justification of AI vs ML vs DL Vs Data Science
- Introduction to Data Science
- what are Technologeis need for DataScience
- Life Cycle of DataScience
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
- 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 Concepts
5. Data Analysis with Python
- Numpy Module
- Pandas Module
- Numpy Arrays
- Pandas Series Operations
- Pandas Aggregate Functions
- 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
- 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 & Projects
- Wine Quality Classification
- Boston House Price Prediction
- Stock Market Forecasting
- IMDb Movie Rating Analysis
- Chronic Disease Indicator Analysis
- Titanic Survival Prediction
- Car CO2 Emission Models
- TV Marketing Sales Analysis
- Bank Dataset EDA
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