Offered By: IBMSkillsNetwork
Real-Time Stock Price Dashboard with Jupyter Notebooks
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.
Continue readingGuided Project
Python
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At a Glance
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.
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!
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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.Â