Back to Catalog

Real-Time Stock Price Dashboard with Jupyter Notebooks

IntermediateGuided Project

Master the Art of Creating Real-Time Stock Price Dashboards with Ease! Immerse yourself in the world of financial data analysis, interactive visualization, and web app deployment using Jupyter Notebook. Acquire the skills to showcase your expertise to a global audience and industry experts.

4.3 (120 Reviews)

Language

  • English

Topic

  • Python

Industries

  • Financial Services

Enrollment Count

  • 898

Skills You Will Learn

  • Data Visualization, Python, Data Analysis

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • April 24, 2025
About this Guided Project
In this tutorial, we'll guide you through the straightforward process of building a real-time stock price dashboard web app using Jupyter Notebook. Analyzing and visualizing stock data is crucial in the financial industry, and we'll make it easy for you to acquire these essential skills. Plus, you'll learn how to share your work with the world and industry professionals!

IBM has a special offer for watsonx.ai, a studio for new foundation models, generative AI and machine learning. To take advantage of this offer visit watsonx.ai homepage.

A Look at the Project Ahead

This hands-on project isn't just about financial analysis. It's also about using the open-source framework, Mercury, to transform your notebook into an immersive web experience for showcasing your work. By the end of this project, you will be able to:
  • Create interactive visualizations to gain insights into stock performance and portfolio management.
  • Calculate and visualize cumulative returns for a weighted portfolio of multiple stocks.
  • Convert the notebook into an interactive web application to share the outcomes of your stock data analysis as with a global audience.

What You'll Need

A fundamental understanding of Python is beneficial. 

Instructors

Vicky Kuo

Data Scientist

I believe that success isn't just about individual milestones, but also about uplifting and encouraging others to reach their potential. This is why I'm passionate about combining my technical background with my eagerness to help people overcome technological hurdles and accelerate growth. When I’m not on the job, I love hiking with my two dogs or relaxing in a coffee shop. There's nothing better than having an insightful conversation over coffee, or even better, some volunteer work! Please feel free to reach out to me on LinkedIn.

Read more

Contributors

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

Read more

Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

Read more