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Offered By: IBMSkillsNetwork

Learn Plotly visualization techniques with ChatGPT

Learn about the Python Plotly library and use the library to create interactive and dynamic visualizations. In this project, ChatGPT guides you through the process of creating various types of charts and plots including scatter plots, line charts, bar charts, heatmaps, and more. You will also learn how to customize these visualizations to best represent their data and how to incorporate various features of Plotly, such as subplots. By the end of the project, you will gain hands-on experience with Plotly.

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Guided Project

Data Science

123 Enrolled
4.8
(19 Reviews)

At a Glance

Learn about the Python Plotly library and use the library to create interactive and dynamic visualizations. In this project, ChatGPT guides you through the process of creating various types of charts and plots including scatter plots, line charts, bar charts, heatmaps, and more. You will also learn how to customize these visualizations to best represent their data and how to incorporate various features of Plotly, such as subplots. By the end of the project, you will gain hands-on experience with Plotly.

Why you should do this Guided Project

  1. Learn a valuable skill: Plotly is a powerful data visualization library that is widely used in industry and academia. By learning how to use Plotly, you'll be acquiring a valuable skill that can help you better analyze and communicate your data.
  2. Hands-on learning: This guided project is designed to be a hands-on learning experience, which means that you'll be actively writing code and creating visualizations throughout the project. This approach can be a very effective way to learn, as it allows you to apply what you're learning in a practical and engaging way.
  3. Personalized guidance: ChatGPT will be guiding you through the project, providing explanations and examples to help you understand each concept and step. This personalized guidance can be especially helpful for learners who are new to data visualization or Python programming.
  4. Portfolio building: Once you've completed the project, you'll have a set of visualizations that you can add to your portfolio or use in your own data analysis projects. This can help you showcase your skills and demonstrate your ability to effectively communicate complex data.

A look at the project ahead

After completing this guided project, you will be able to:
  1. Understand the basic concepts of Plotly and how to use it for data visualization.
  2. Create a wide range of interactive and dynamic visualizations, including scatter plots, line charts, bar charts, heatmaps, and more.
  3. Customize your visualizations to better represent your data using various features of Plotly.
  4. Incorporate advanced features such as subplots, animations, and maps into your visualizations.
  5. Use Plotly to communicate complex data and insights more effectively.
  6. Have hands-on experience with Plotly that can be applied to future data visualization projects or as part of your data analysis workflow.

What you'll need

While prior experience with data visualization is not required, having some familiarity with Python concepts will make the project easier to complete. However, the project is designed to guide you through the process, step by step, so that you can learn and master Plotly, even if you have no prior experience.

Estimated Effort

30 Minutes

Level

Beginner

Industries

Information Technology

Skills You Will Learn

Artificial Intelligence, Data Analysis, Data Science, Data Visualization, Python

Language

English

Course Code

GPXX057GEN

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