🎓 IBM Data Science Professional Certificate

This repository contains my projects, notes, and labs completed during the IBM Data Science Professional Certificate program. This 12-course specialization covers the entire data science pipeline, from data acquisition and cleaning to model deployment and Generative AI integration.

🏆 Specialized Skills Acquired

• Exploratory Data Analysis (EDA): Mastering Pandas, NumPy, and Matplotlib to uncover patterns.
• Machine Learning: Implementing Regression, Classification, and Clustering using Scikit-learn.
• Databases & SQL: Advanced querying and data management with Python-DB connectivity.
• Data Visualization: Creating impactful stories using Folium, Seaborn, and Plotly.
• Generative AI: Leveraging GenAI tools to optimize data workflows and code generation.

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📚 Course Roadmap & Key Learnings

Course	Key Skills & Technologies
1. What is Data Science?	Data Science Fundamentals & Professional Ethics.
2. Tools for Data Science	Jupyter Notebooks, RStudio, GitHub, & IBM Watson Studio.
3. Data Science Methodology	Analytical Approaches & Model Requirements.
4. Python for DS & AI	Python Basics, Data Structures, & Logic.
5. Python Project for DS	Real-world application of Python for data extraction.
6. Databases & SQL	SQL, Relational Databases, & Python DB-API.
7. Data Analysis with Python	Data Wrangling, Normalization, & Statistical Analysis.
8. Data Visualization	Dashboard creation & Geo-spatial data mapping.
9. Machine Learning with Python	Supervised & Unsupervised Learning Algorithms.
10. Applied DS Capstone	Final Project: Predicting SpaceX Falcon 9 landings.
11. Generative AI	Prompt Engineering & AI-driven career elevation.
12. Career Guide & Interview Prep	Portfolio building & Technical Interview Strategy.

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🛠 Project Highlights

Applied Data Science Capstone (SpaceX Project)

• Objective: Predict if the Falcon 9 first stage will land successfully.
• Tools: Folium for maps, Dash for interactive dashboards, and Logistic Regression models.
• Outcome: Developed a predictive model with over 80% accuracy during testing.

Machine Learning Practice

• Built models for customer churn prediction and housing price estimation using Scikit-learn.

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🎖 Certifications

• IBM Data Science Professional Certificate (Completed: June 2025)
• Google AI & Prompting Essentials (December 2025)

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🔗 How to Use This Repo

1. Navigate to the folder of the specific course you are interested in.
2. Open the .ipynb files to view the code and visual outputs.
3. Check the requirements.txt to install the necessary libraries.

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🌐 Connect & Portfolio

• Portfolio Website: Explore My Projects
• LinkedIn: Connect with Muhammad Noman

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Developed with ❤️ by Noman BSCS @ UET Taxila | Data Science & ML Enthusiast