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Data Visualization with ChatGPT

Python for Dashboarding

Parth Patil

In this 1-hour long project-based course, you will explore the integration of ChatGPT-generated code into interactive Streamlit applications for data analysis and visualization. We will achieve this by working on a hands-on project where you'll use ChatGPT to analyze and interpret data, develop visualization through Python libraries, and incorporate this into a Streamlit app to create a dynamic, user-friendly dashboard.

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In this 1-hour long project-based course, you will explore the integration of ChatGPT-generated code into interactive Streamlit applications for data analysis and visualization. We will achieve this by working on a hands-on project where you'll use ChatGPT to analyze and interpret data, develop visualization through Python libraries, and incorporate this into a Streamlit app to create a dynamic, user-friendly dashboard.

ChatGPT and Streamlit represent a powerful combination for developing data-driven applications. ChatGPT, with its advanced language understanding and code generation capabilities, simplifies complex data analysis tasks. Streamlit is an open-source app framework specifically for Machine Learning and Data Science teams to create beautiful, interactive web applications in minutes. You'll learn to harness these tools to transform raw data into insightful visualizations.

This course is perfect for those who have a basic understanding of Python and are interested in data analysis, AI applications or developing interactive web apps. No prior experience with ChatGPT or Streamlit is required, making it accessible for anyone comfortable with basic programming concepts.

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What's inside

Syllabus

Project Overview
In this project-based course, you will explore the integration of ChatGPT-generated code into interactive Streamlit applications for data analysis and visualization. We will achieve this by working on a hands-on project where you'll use ChatGPT to analyze and interpret data, develop visualization through Python libraries, and incorporate this into a Streamlit app to create a dynamic, user-friendly dashboard.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores advances in AI and data analysis, which are highly relevant to industry
Emphasizes code generation through AI, which is a cutting-edge technique in software development
Develops skills in ChatGPT, which is a prominent AI tool for code generation and data analysis
Leverages Streamlit, which is a popular framework for creating interactive data visualizations
Offers a hands-on project-based approach, which allows learners to apply concepts practically
Provides a strong foundation for beginners in data analysis and visualization

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Activities

Coming soon We're preparing activities for Data Visualization with ChatGPT: Python for Dashboarding . These are activities you can do either before, during, or after a course.

Career center

Learners who complete Data Visualization with ChatGPT: Python for Dashboarding will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
A Data Visualization Engineer works with data scientists and analysts to turn raw data into interactive, easy-to-understand visualizations using tools like Python and Streamlit. This course may help build a foundation for this career by teaching you how to analyze data using ChatGPT and develop visualizations with Python.
Data Scientist
Data Scientists use data analysis and visualization to help businesses make better decisions. This course may be useful for aspiring Data Scientists because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Operations Research Analyst
Operations Research Analysts use data analysis and visualization to help businesses improve their operations and make better decisions. This course may be useful for aspiring Operations Research Analysts because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Business Intelligence Analyst
Business Intelligence Analysts use data analysis and visualization to help businesses understand their performance and make better decisions. This course may be useful for aspiring Business Intelligence Analysts because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Software Engineer
Software Engineers use data analysis and visualization to develop software applications that help businesses make better decisions. This course may be useful for aspiring Software Engineers because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Financial Analyst
Financial Analysts use data analysis and visualization to help businesses make sound financial decisions. This course may be useful for aspiring Financial Analysts because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Product Manager
Product Managers use data analysis and visualization to help businesses develop and improve their products. This course may be useful for aspiring Product Managers because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Management Consultant
Management Consultants use data analysis and visualization to help businesses improve their performance. This course may be useful for aspiring Management Consultants because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Market Researcher
Market Researchers use data analysis and visualization to understand consumer trends and make recommendations for businesses. This course may be useful for aspiring Market Researchers because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Teacher
Teachers use data analysis and visualization to help students learn. This course may be useful for aspiring Teachers because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
User Experience Designer
User Experience Designers use data analysis and visualization to help businesses create user-friendly products. This course may be useful for aspiring User Experience Designers because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Information Architect
Information Architects use data analysis and visualization to help businesses organize and structure their information. This course may be useful for aspiring Information Architects because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Academic Researcher
Academic Researchers use data analysis and visualization to conduct research and publish their findings. This course may be useful for aspiring Academic Researchers because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Data Journalist
Data Journalists use data analysis and visualization to tell stories and inform the public. This course may be useful for aspiring Data Journalists because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.
Data Analyst
Data Analysts use their skills in data analysis and data visualization to help businesses make better decisions. This course may be useful for aspiring Data Analysts because it teaches you how to analyze data using ChatGPT and develop visualizations with Python, which are both valuable skills for this role.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Visualization with ChatGPT: Python for Dashboarding .
Edward Tufte's classic work on data visualization remains a valuable resource for students and practitioners. provides insights into the principles of effective visual communication and helps students appreciate the importance of clear and concise visualizations.
Colin Ware's book offers a theoretical foundation for data visualization. It explores the perceptual and cognitive aspects of visualization and provides guidance on designing effective and usable visualizations.
By Nathan Yau provides a comprehensive exploration of data visualization and its applications. The book covers various techniques and tools and helps students develop a deeper understanding of the field.
Julie Steele and Noah Iliinsky's book combines design principles with data visualization practices. It helps students understand how to create aesthetically pleasing and informative visualizations that effectively communicate insights.
Andy Kirk's book provides a solid introduction to data visualization principles and techniques. is recommended for students who want to broaden their understanding of data visualization beyond the scope of the course.
While this book bit more advanced than what is covered in this course, it provides a comprehensive overview of the field of data visualization, covering both Python and JavaScript. This can be a great option for students who are interested in learning more about the subject.
Scott Murray's book mainly focuses on D3.js and how to use it for a variety of visualization applications. This complements the course's use of Streamlit by providing a useful resource for exploring alternative technologies for data visualization on the web.

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