Welcome to my Data Analysis and Statistics Projects repository.
This repository contains practical notebooks and projects focused on:
- Probability Concepts
- Statistical Analysis
- Data Cleaning
- Data Visualization
- Exploratory Data Analysis (EDA)
- Python for Data Analysis
The goal of this repository is to strengthen analytical thinking and build industry-relevant data analysis skills.
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Statistics
- Probability
| File Name | Description |
|---|---|
probability.ipynb |
Probability concepts and problem-solving using Python |
statistics.ipynb |
Statistical analysis, hypothesis testing, and data interpretation |
- Conditional Probability
- Bayes Theorem
- Random Variables
- Probability Distribution
- Expected Value
- Mean, Median, Mode
- Standard Deviation
- Variance
- Correlation
- Hypothesis Testing
- P-value Analysis
- Develop strong analytical skills
- Apply statistics using Python
- Build a portfolio for Data Analyst roles
- Improve problem-solving ability using real-world datasets
- Add Machine Learning projects
- SQL Data Analysis projects
- Power BI dashboards
- Real-world datasets and case studies
If you found this repository useful, feel free to star the repository and connect with me.
Thank you for visiting!