Welcome to the Data Analysis course page! 📊 This section provides resources and learning materials to help you master the fundamentals of data analysis, including tools like Python, R, and SQL, as well as key concepts in data visualization and statistical methods.
Course Outline
Introduction to Data Analysis
- Understanding data types and sources
- Basic data analysis techniques
Data Cleaning & Preprocessing
- Handling missing data and outliers
- Data normalization and transformation
Statistical Analysis
- Descriptive vs. inferential statistics
- Hypothesis testing and regression models
Data Visualization
- Using libraries like Matplotlib and Seaborn
- Creating effective charts and graphs
Advanced Topics
- Machine learning for predictive analysis
- Big data tools and cloud platforms
Recommended Resources
- Data Science Basics for foundational knowledge
- Python for Data Analysis to deepen your coding skills
- Data Visualization Tutorials for interactive practice
Let me know if you'd like to explore specific modules or tools further! 🚀