A professionally structured, roadmap-based Python Data Science learning system designed to take you from beginner → job-ready Data Analyst / Data Scientist through hands-on practice.
- 🎯 Overview
- 🗺️ Learning Roadmap
- 🧠 Skills You Will Gain
- 🧭 Learning Path
- ⚙️ Setup & Installation
- 📂 Repository Structure
- 🚀 Projects
- 💡 Learning Tips
- 📊 Why This Repo
- 👨💻 Author
This repository provides a complete structured learning journey for Python Data Science covering:
- Data Analysis
- Data Visualization
- Statistical Thinking
- Interactive Dashboards
- Real-world Project Development
It is designed with a day-by-day roadmap approach to ensure consistent learning and skill progression.
| Module | Focus Area | Duration | Level |
|---|---|---|---|
| 🧮 NumPy | Numerical Computing | 18 Days | Beginner → Intermediate |
| 🐼 Pandas | Data Analysis | 33 Days | Beginner → Advanced |
| 📊 Matplotlib | Static Visualization | 35 Days | Beginner → Advanced |
| 📊 Seaborn | Statistical Visualization | 35 Days | Intermediate → Advanced |
| 📊 Plotly | Interactive Dashboards | 40 Days | Advanced |
- Data cleaning & preprocessing
- Handling missing values & duplicates
- Feature engineering
- Data transformation techniques
- Static & interactive charts
- Statistical visualization
- Business dashboards
- Publication-ready graphs
- Exploratory Data Analysis (EDA)
- Pattern recognition
- Insight extraction
- Analytical thinking
Follow this order for best results:
- 🧮 NumPy → Build numerical foundation
- 🐼 Pandas → Data manipulation & analysis
- 📊 Matplotlib → Core visualization skills
- 📊 Seaborn → Statistical visualization & EDA
- 📊 Plotly → Interactive dashboards & advanced analytics
git clone https://github.com/monjurmbm404/Python-Data-Science-Tools.git
cd Python-Data-Science-Toolspip install numpy pandas matplotlib seaborn plotly- Open any module folder
- Follow the roadmap
- Practice with code
Python-Data-Science-Tools/
│
├── Data Analysis with NumPy/
├── Data Analysis with Pandas/
├── Data Visualization with Matplotlib/
├── Data Visualization with Seaborn/
├── Data Visualization with Plotly/
└── README.md
- 📉 Sales Analytics Dashboard
- 🏫 Student Performance Analysis
- 🌦️ Weather Data Insights
- 💰 Stock Market Analysis
- 🛍️ Customer Segmentation
- 📊 Business KPI Dashboard
- 📈 Time Series Forecasting
- ✔ Code while learning (not just reading)
- ✔ Experiment with examples
- ✔ Use real datasets (Kaggle)
- ✔ Build mini-projects after each module
- ✔ Revise regularly for mastery
This repository is designed to:
- Transform beginners into job-ready data professionals
- Build strong analytical thinking
- Provide structured roadmap-based learning
- Prepare for real-world Data Science careers
After completing this repository, you will be able to:
- Perform professional data analysis
- Build interactive dashboards
- Create publication-quality visualizations
- Handle real-world datasets confidently
- Develop portfolio-ready Data Science projects
This project is licensed under the MIT License. See the LICENSE file for details.
🎓 Secondary School Certificate (SSC) from Shah Helal High School
🎓 Diploma in Computer Science and Technology from Moulvibazar Polytechnic Institute (MPI)
🎓 BSc in Computer Science & Engineering (CSE) (Ongoing) at Sylhet International University (SIU)
📧 Email: monjurmbm404@gmail.com
If you found this repository helpful, please consider giving it a ⭐ Star. It helps others discover the project and motivates future development.
| Platform | Link |
|---|---|
| 💻 GitHub | https://github.com/monjurmbm404 |
| https://linkedin.com/in/monjurmbm404 | |
| 🧩 LeetCode | https://leetcode.com/u/monjurmbm404 |
| ⚔️ Codeforces | https://codeforces.com/profile/monjurmbm404 |
| 🍽️ CodeChef | https://www.codechef.com/users/monjurmbm404 |
| 🏆 VJudge | https://vjudge.net/user/monjurmbm404 |
| https://www.facebook.com/monjurmbm404 | |
| 🐦 X (Twitter) | https://x.com/monjurmbm404 |
| https://youtube.com/@monjurmbm404 | |
| ✍️ Medium | https://medium.com/@monjurmbm404 |