Welcome to the Data Analysis Tutorial repository! This repository contains a comprehensive set of tutorials designed to take you from a beginner in data analysis to an expert. We start with Excel, progress through Python and its powerful libraries, and delve into advanced topics like machine learning and big data.
- Excel Basics
- Excel Intermediate
- Excel Advanced
- Python Basics
- Pandas
- Data Visualization
- Machine Learning
- Deep Learning
- Big Data
- Project Case Studies
The repository is organized as follows:
Each directory contains tutorials and resources relevant to its topic. Below is a brief description of each section:
- Excel Basics
- Introductory tutorials on using Excel for data analysis.
- Excel Intermediate
- More advanced Excel techniques and functionalities.
- Excel Advanced
- Master-level Excel skills including macros and VBA.
- Python Basics
- Fundamental Python programming skills.
- Pandas
- Tutorials on using the Pandas library for data manipulation and analysis.
- Data Visualization
- Techniques for visualizing data using various Python libraries.
- Machine Learning
- Introduction to machine learning concepts and practical implementations.
- Deep Learning
- Deep learning tutorials and frameworks.
- Big Data
- Tutorials on big data technologies and their applications.
- Project Case Studies
- Real-world data analysis projects and case studies.
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please read the contributing guidelines for more information.
Happy Learning!