Course Overview

I. Introduction to Python

• Introduction to Python and its features
• Installing Python and Setting up Development Environment
• Running Python Programs
• Basic Syntax and Variables
• Data Types and Type Conversion
• Operators and Expressions

II. Control Structures and Functions

• Conditional Statements (if, elif, else)
• Loops (for, while)
• Functions and Methods
• Anonymous Functions (Lambda)
• Recursion
• Exception Handling

III. Data Structures

• Lists
• Tuples
• Dictionaries
• Sets
• Arrays
• Strings
• File Handling

IV. Data Analytics Libraries

• NumPy
• Pandas
• Matplotlib
• Seaborn
• SciPy
• Statsmodels

V. Data Visualization

• Basic Plots and Charts
• Advanced Visualization Techniques
• Building Interactive Dashboards

VI. Machine Learning with Python

• Introduction to Machine Learning
• Preprocessing Data
• Supervised Learning (Regression, Classification)
• Unsupervised Learning (Clustering, Dimensionality Reduction)
• Model Evaluation

VII. Web Scraping

• Understanding HTML and CSS
• Web Scraping using Python
• Working with APIs

VIII. Project Work

• Analyzing Real-world Data
• Building Data-driven Applications