Data Visualization with ChatGPT: Python for Dashboarding from Coursera

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.

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Visualization with ChatGPT: Python for Dashboarding with these activities:

explore the ChatGPT official documentation

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Familiarize yourself with the basics of ChatGPT by exploring the official documentation.

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Visit the ChatGPT website and navigate to the documentation section
Read through the getting started guide and API reference
Explore the code examples and tutorials

compile a list of resources on ChatGPT

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Create a valuable resource for yourself and others by compiling a list of resources on ChatGPT.

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Search for articles, tutorials, and other resources on ChatGPT
Organize the resources into a list
Share the list with others

experiment with the ChatGPT playground

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Gain practical experience using ChatGPT by experimenting with the ChatGPT playground.

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Go to the ChatGPT playground website
Type in different prompts and observe the responses
Experiment with different input formats and styles

Six other activities

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Practice using ChatGPT to analyze data

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Practicing using ChatGPT to analyze data will help you develop the skills necessary to effectively use ChatGPT for data exploration and analysis within Streamlit applications.

Browse courses on ChatGPT

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Find a dataset of interest and load it into a Python notebook.
Use ChatGPT to generate code to analyze the data, such as calculating summary statistics or creating visualizations.
Evaluate the results provided by ChatGPT and compare them with your own analysis.

join a study group to discuss ChatGPT and its applications

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Engage with other learners and discuss ChatGPT and its applications in a study group setting.

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Find a study group or create your own
Meet regularly to discuss ChatGPT and its applications
Share your experiences and insights with the group

Follow tutorials on creating interactive Streamlit apps

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Following tutorials on creating interactive Streamlit apps will provide you with a structured approach to learning the basics of Streamlit and how to use it to build dynamic data-driven applications.

Browse courses on Streamlit

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Search for tutorials on Streamlit documentation or online platforms.
Complete the tutorials step-by-step, building a simple Streamlit app.
Experiment with different Streamlit components and features.

write a blog post about your experiences using ChatGPT

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Reflect on your experiences using ChatGPT and share your insights with others by writing a blog post.

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Choose a topic related to your experiences using ChatGPT
Write an outline for your blog post
Write the first draft of your blog post
Revise and edit your blog post
Publish your blog post on a platform of your choice

participate in a ChatGPT hackathon

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Challenge yourself and showcase your skills by participating in a ChatGPT hackathon.

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Find a ChatGPT hackathon that aligns with your interests
Form a team or participate individually
Develop a project that utilizes ChatGPT's capabilities
Submit your project and present it to the judges

become a mentor for other learners interested in ChatGPT

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Share your knowledge and experience by becoming a mentor for other learners interested in ChatGPT.

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Join a mentoring platform or community
Create a profile and offer your expertise in ChatGPT
Connect with learners and provide guidance and support

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.

See salaries and explore the career path for Data Visualization Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Operations Research Analyst

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Management Consultant

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Teacher

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.

See salaries and explore the career path for User Experience Designer

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for Academic Researcher

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.

See salaries and explore the career path for Data Journalist

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.

See salaries and explore the career path for Data Analyst