📚 CourseTracker

CourseTracker — CLI/GUI application for managing and tracking your online courses. It parses courses from Coursera and Udemy, tracks progress, and allows exporting course data for easy offline review.

Perfect for learners who want a centralized system to manage their learning journey.

🚀 Features

• 🔍 Search courses on Coursera and Udemy by topic

• 💾 Save courses locally in SQLite database

• ✅ Track completion with CLI and GUI

• 📊 Progress bar shows completion percentage in GUI

• 📈 Export courses to Excel/CSV for offline tracking

• 🖥 Cross-platform GUI with PyQt5

🎬 Demo

GUI Preview:

• List of courses

• Progress bar showing completion percentage

• Mark selected courses as completed

• Export to Excel

🛠 Installation

1.Clone the repository

git clone https://github.com/mscbuild/CourseTracker.git
cd CourseTracker

2.Install dependencies

pip install -r requirements.txt

3.Initialize the database (optional, happens automatically):

python cli.py list

💻 CLI Usage

• Search for courses

python cli.py search --platform coursera --query "python"
python cli.py search --platform udemy --query "data science"

• List all saved courses

python cli.py list

• Mark a course as completed

python cli.py complete 1

• Export courses to Excel

python cli.py export --filename my_courses.xlsx

🖥 GUI Usage

python gui.py

GUI Features:

• 📋 Course list with platform and completion status

• ✅ Mark courses as completed

• 📊 Dynamic progress bar showing percentage completed

• 💾 Export courses to courses_export.xlsx

📁 Project Structure

CourseTracker/
│
├── cli.py            # Command-line interface
├── gui.py            # Graphical interface (PyQt5)
├── parsers/          # Course parsers
│   ├── __init__.py
│   ├── coursera.py
│   └── udemy.py
├── database.py       # SQLite database handling
├── requirements.txt  # Python dependencies
└── README.md         # Project documentation

🔧 Technologies

• Python 3.10+

• CLI: Click

• GUI: PyQt5

• Web parsing: Requests + BeautifulSoup

• Database: SQLite

• Data export: pandas

📌 How it works

1.CLI allows searching courses by topic on Coursera or Udemy.

2.Courses are saved in a local SQLite database.

3.CLI and GUI can list courses and mark them as completed.

4.GUI shows progress bar and dynamic completion percentage.

5.Export feature generates Excel/CSV files for offline tracking.

📈 Future Improvements

• Support for additional platforms: edX, Skillshare, LinkedIn Learning

• Notifications via Telegram or Email for new courses

• Automated daily updates of course lists

• Advanced GUI filters: topic, platform, rating, duration

• Add bookmarks for important courses

🤝 Contributing

We welcome contributions!

1.Fork the repository

2.Create a feature branch: git checkout -b feature/awesome-feature

3.Commit your changes: git commit -m "Add awesome feature"

4.Push to branch: git push origin feature/awesome-feature

5.Open a Pull Request

📄 License

This project is licensed under the MIT License.