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Python Project for Data Science By IBM

A practical and immersive Python project that helps learners transform theory into a portfolio-ready data analysis dashboard.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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.

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Job Outlook

  • Python is the top language used in data science roles globally.

  • Data Analysts and Scientists proficient in data wrangling and visualization are in high demand across sectors.

  • Entry-level analysts using Python and visualization libraries (Pandas, Plotly) can earn between $65K – $100K annually.

  • This project-based course enhances portfolio value for jobs requiring hands-on analytics experience.

  • Employers value candidates who demonstrate real-world data application through projects, especially for freelance, corporate, or startup roles.​

9.5Expert Score
Highly Recommended
IBM's "Python Project for Data Science" is a well-structured course that challenges learners to apply their knowledge in a real-life setting. It’s especially beneficial for those looking to strengthen their portfolio or prepare for data-related job roles.
Value
9
Price
8.9
Skills
9.4
Information
9.5
PROS
  • Real-world application of Python in data analytics
  • Focus on portfolio development and storytelling with data
  • Interactive tools like Plotly and BeautifulSoup used
  • Great for entry-level professionals aiming for practical experience
CONS
  • Assumes basic Python knowledge – not ideal for absolute beginners
  • No deep statistical or modeling content – more analysis-focused
  • Peer review can delay course progression slightly

Specification: Python Project for Data Science By IBM

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Python Project for Data Science By IBM
Python Project for Data Science By IBM
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