{"id":25602811,"url":"https://github.com/codewitheshayoutube/corvit_python_data_analytics_course","last_synced_at":"2026-04-13T20:32:37.315Z","repository":{"id":278227786,"uuid":"934935952","full_name":"codewithEshaYoutube/Corvit_Python_Data_Analytics_Course","owner":"codewithEshaYoutube","description":"I teach Python \u0026 Data Analytics at Corvit Systems. 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Don't forget to star the repository!\n\u003e\n\u003e 📌 **Instructor:** [Eesha Tariq](https://www.linkedin.com/in/esha-tariqdev/)  \n\u003e\n\u003e 🌐 **Institution:** [Corvit Systems](https://corvit.com/systems/) (Onsite Training in Pakistan)\n\n---\n\n## 📚 Course Overview\nThis **3-month Python \u0026 Data Analytics course** at Corvit Systems is designed to equip students with essential programming and data analysis skills. The course covers:\n\n- **Python Programming Basics**: Syntax, Data Types, Loops, Functions\n- **Data Analytics**: NumPy, Pandas, Data Wrangling \u0026 Visualization\n- **Machine Learning Fundamentals**: Scikit-learn, Model Evaluation\n- **Database Management**: SQL and NoSQL databases\n- **Real-world Projects**: Hands-on practical experience by building data-driven applications\n\n## 🗂 Repository Structure\n- **Week-wise Modules**: Structured notebooks for each topic\n- **Assignments**: Hands-on coding exercises\n- **Projects**: Real-world applications using Python \u0026 Data Analytics\n- **Resources**: Additional reading material and references\n- **Final Test \u0026 Certification**: Onsite evaluation for certification\n\n## 🏆 Weekly Course Structure\n\n### 📌 Week 1: Python Fundamentals\n- Introduction to Python\n- Variables, Data Types, Operators\n- Control Flow (Loops \u0026 Conditionals)\n- Functions and Modules\n\n### 📌 Week 2: Data Structures \u0026 File Handling\n- Lists, Tuples, Sets, Dictionaries\n- File Handling (Reading/Writing Files)\n- Exception Handling\n\n### 📌 Week 3: Object-Oriented Programming (OOP)\n- Classes and Objects\n- Encapsulation, Inheritance, Polymorphism\n\n### 📌 Week 4: Introduction to NumPy \u0026 Pandas\n- NumPy Arrays and Operations\n- Pandas DataFrames: Data Manipulation \u0026 Cleaning\n\n### 📌 Week 5: Data Visualization\n- Matplotlib \u0026 Seaborn for Charts and Graphs\n- Interactive Visualizations\n\n### 📌 Week 6: SQL for Data Analysis\n- SQL Basics: Queries, Joins, Aggregations\n- Connecting Python with SQL Databases\n\n### 📌 Week 7: Machine Learning Fundamentals\n- Supervised vs Unsupervised Learning\n- Building ML Models using Scikit-learn\n\n### 📌 Week 8-11: Real-World Data Analytics Projects\n- **Project 1**: Exploratory Data Analysis (EDA)\n- **Project 2**: Data Cleaning \u0026 Visualization\n- **Project 3**: Predictive Analytics using ML\n\n### 📌 Week 12: Capstone Project \u0026 Career Guidance\n- Final project presentation\n- Resume building \u0026 interview preparation\n- **Final Test for Certification**\n\n## 🚀 Why Take This Course?\n- **Industry-relevant curriculum** taught by expert instructor **[Eesha Tariq](https://www.linkedin.com/in/esha-tariqdev/)**\n- **Hands-on learning** with real-world **projects**\n- **Access to GitHub repository** for course material and assignments\n- **Career growth opportunities** in Data Science \u0026 AI\n\n## 📖 Student Guide\nTo ensure a smooth learning experience, follow these guidelines:\n\n1. **Pre-requisites**:\n   - Basic understanding of programming concepts is helpful but not required.\n   - Install Python, Jupyter Notebook, and necessary libraries before the course starts.\n\n2. **Course Structure**:\n   - Each module includes lectures, coding exercises, and real-world projects.\n   - Weekly assignments to reinforce learning.\n   - A final capstone project to showcase your skills.\n   - **Final Test will be conducted onsite for certification.**\n\n3. **Resources**:\n   - Course materials and notebooks available on the GitHub repository.\n   - Recommended books and online references will be shared.\n   - Additional support for students via discussion forums.\n\n4. **Support \u0026 Queries**:\n   - Join the dedicated student discussion group.\n   - Reach out to the instructor for guidance via LinkedIn or email.\n\n## 📌 How to Enroll?\nVisit [Corvit Systems](https://corvit.com/systems/) for enrollment details or contact **Eesha Tariq** via LinkedIn.\n\n## 🔗 Connect with Me\n\n[![Gmail](https://img.shields.io/badge/Gmail-333333?style=for-the-badge\u0026logo=gmail\u0026logoColor=red)](mailto:tariqeesha321@gmail.com)\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/esha-tariqdev/)\n[![GitHub](https://img.shields.io/badge/GitHub-333333?style=for-the-badge\u0026logo=github\u0026logoColor=white)](https://github.com/codewithEshaYoutube)\n\n---\n\n🔥 **Don't forget to** ⭐ **star this repository and follow for updates!**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodewitheshayoutube%2Fcorvit_python_data_analytics_course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodewitheshayoutube%2Fcorvit_python_data_analytics_course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodewitheshayoutube%2Fcorvit_python_data_analytics_course/lists"}