IBM Data Science Professional Certification Program

This repository contains solved assignments, exercises, and notebooks from the IBM Data Science Professional Certificate on Coursera.
All work is completed by Suraj Bhardwaj.

---

Table of Contents

• About the Program
• Course List & Status
• Repository Structure
• Setup & Installation
• Usage
• Goals of This Repository
• Author
• License

---

About the Program

The IBM Data Science Professional Certificate is a 12-course program designed to equip learners with the full data science workflow—from data collection and cleaning to visualization, machine learning, and deployment. Topics include:

• Python programming
• SQL and databases
• Data analysis & visualization
• Machine learning fundamentals
• Applied projects & capstones

---

Course List & Status

#	Course Title	Status
1	What is Data Science?	✅ Completed
2	Tools for Data Science	✅ Completed
3	Data Science Methodology	✅ Completed
4	Python for Data Science, AI & Development	✅ Completed
5	Python Project for Data Science	✅ Completed
6	Databases and SQL for Data Science with Python	✅ Completed
7	Data Analysis with Python	✅ Completed
8	Data Visualization with Python	✅ Completed
9	Machine Learning with Python	✅ Completed
10	Applied Data Science Capstone	✅ Completed
11	Generative AI: Elevate Your Data Science Career	✅ Completed
12	Data Scientist Career Guide and Interview Preparation	✅ Completed

---

Repository Structure

Filename	Description
Capstone_Project/	Completed Data Science Capstone project with all solutions.
DS0103EN-Exercise-From-Modeling-to-Evaluation.ipynb	Practice notebook for model evaluation and selection
DS0103EN-Exercise-From-Understandin (copy).ipynb	Data understanding notebook from the methodology course
DataScienceEcosystem.ipynb	Final assignment notebook from "Tools for Data Science"
Final Assignment.ipynb	Final Web scraping assignment to extract shares and revenue data (Tesla and GameStop)
Web_Scraping_Module_5/	Directory for organizing all scraping-related work

---

Setup & Installation

• Clone the repository

  git clone https://github.com/SurajBhardwaj/IBM-Data-Science-Professional-Certificate.git
  cd IBM-Data-Science-Professional-Certificate

• Create a virtual environment

  python3 -m venv venv
  # macOS/Linux
  source venv/bin/activate
  # Windows  
  venv\Scripts\activate
  # Install the dependencies beforehand or with the flow in notebooks.

• Launch Jupyter Notebook

   jupyter notebook

• Usage

  • Open the desired .ipynb notebook in your browser.
  • Follow the instructions and execute cells sequentially.
  • For the Capstone project, refer to the Capstone_Project instructions provided inside the skill network labs for details on running folium, dashboards and models.

---

Goals of This Repository

• Serve as the official collection of my completed IBM Data Science assignments.
• Document hands-on learning:
• Web scraping
• Data wrangling & EDA
• SQL queries
• Interactive dashboards (Plotly Dash, Folium)
• Machine learning workflows
• Model evaluation & tuning
• Visualization best practices

---

Author

Suraj Bhardwaj
Find more about me on Linkedin: LinkedIn

---

License

This repository is provided for educational and reference purposes. Original course materials are © IBM and Coursera.

---

If you find this repository useful, please consider starring it! Feel free to tweak any URLs, filenames, or descriptions as needed.