What You'll Learn
- Introduction to Python
- Data Types and Variables
- Operators and Expressions
- Control Flow (if/else, loops)
- Functions and Modules
- Introduction to Pandas
- Data Loading and Cleaning
- Data Filtering and Selection
- Introduction to Matplotlib
- Creating Basic Plots
- Working with Subplots
- Introduction to Seaborn
- Exploratory Data Analysis with Seaborn
- Introduction to NumPy Arrays
- Array Operations and Broadcasting
- Linear Algebra with NumPy
- Machine Learning Concepts
- Supervised Learning Algorithms
- Model Evaluation and Selection
- Introduction to APIs
- Making API Requests
- Web Scraping Techniques
Requirements
- Basic Python knowledge is helpful but not required
- No prior experience with data analysis or visualization needed
Who This Course is For
- Beginners who want to get started with Python data analysis
- Students and professionals looking to strengthen analytical skills
- Business analysts, researchers, and engineers working with data
- Anyone who wants to visualize and understand data more effectively
Your Instructor
Muhammad Riaz Uddin
Web Developer | AI | Data Analysis | Web Design
3.0 Instructor Rating
7 Reviews
10,463 Students
31 Courses
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