What you will learn in Python Project for Data Science By IBM Course
- Apply foundational Python programming skills to real-world data analysis tasks.
- Extract stock and revenue data using APIs and web scraping techniques.
- Clean and manipulate data using Pandas
- Create compelling visualizations using Plotly.
- Build and present an interactive dashboard for data-driven storytelling.
Program Overview
Project-Based Learning with Python
⏱️ 6–8 weeks
- Retrieve stock price data for companies like Tesla and GameStop using APIs.
- Extract revenue data via web scraping using BeautifulSoup.
- Clean, transform, and structure the data using Pandas.
- Create interactive plots using Plotly to reveal data insights.
- Develop a dashboard in a Jupyter Notebook that summarizes your analysis.
- Submit your work for peer review to reinforce understanding and practical application.
Get certificate
Job Outlook
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Python is the top language used in data science roles globally.
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Data Analysts and Scientists proficient in data wrangling and visualization are in high demand across sectors.
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Entry-level analysts using Python and visualization libraries (Pandas, Plotly) can earn between $65K – $100K annually.
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This project-based course enhances portfolio value for jobs requiring hands-on analytics experience.
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Employers value candidates who demonstrate real-world data application through projects, especially for freelance, corporate, or startup roles.
Explore More Learning Paths
Advance your data science expertise and strengthen your hands-on Python skills with these curated programs designed to deepen your analytical abilities and accelerate your real-world project experience.
Related Courses
- Python for Data Science, AI & Development Course – Master Python fundamentals tailored for data science, AI, and application development.
- Introduction to Data Science in Python Course – Learn how to manipulate, analyze, and visualize data using essential Python data science libraries.
- Databases and SQL for Data Science with Python Course – Build strong database and SQL skills while integrating them into Python workflows for real-world data projects.
Related Reading
Strengthen your foundational knowledge in key data science processes:
- What Is Data Management? – Explore how data is collected, organized, and maintained to ensure accuracy and accessibility across an organization.
