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