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URL: https://www.coursera.org/learn/generative-ai-for-data-visualization-and-data-storytelling

⇱ Generative AI for Data Visualization and Data Storytelling | Coursera


Generative AI for Data Visualization and Data Storytelling

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Generative AI for Data Visualization and Data Storytelling

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Gain insight into a topic and learn the fundamentals.
4.1

35 reviews

Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.1

35 reviews

Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Data Visualization Primer: Tools & Techniques Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In today’s data-driven world, harnessing the power of Generative AI to create impactful data visualizations is essential for effective communication and decision-making. This course focuses on utilizing cutting-edge AI tools to transform raw data into dynamic, insightful visual artifacts, enhancing your ability to convey complex information clearly and compellingly.

Designed for data analysts, business intelligence professionals, and anyone involved in data storytelling, this course provides practical knowledge and skills to optimize your data visualization processes using AI. You'll explore current and emerging trends in AI-powered visualization platforms, ensuring you stay ahead in the ever-evolving data landscape. During this course, you'll focus on the following learning objectives: -Identify how AI tools transform traditional data visualization practices to produce dynamic, insightful presentations. -Analyze data visualization techniques with LLM-Chat interfaces to enhance understanding and communication of complex information. -Apply generative AI techniques for data storytelling, utilizing visualization methods to create compelling narratives. By completing this course, you'll be equipped to: -Understand and utilize cutting-edge Generative AI tools to create data visualization artifacts. -Gain practical knowledge on optimizing data visualization processes using AI. -Explore current and emerging trends in data visualization through AI-powered visualization platforms. This course is unique because it allows you to convert raw data into intuitive visualizations through various real-world industry examples. Generative AI empowers users to effectively communicate insights and make informed data-driven decisions. Whether you’re new to data visualization or looking to simplify complex information, this course equips you to uncover patterns, trends, and relationships using Generative AI tools. To succeed in this course, you should have a basic understanding of data analysis and charts, along with a willingness to explore innovative AI-driven solutions for data visualization.

Upon the completion of this course, learners will be able to use Generative AI to do data wrangling, automate aspects of data visualization workflows, and create insightful and dynamic data storytelling.

What's included

1 video1 reading

1 videoβ€’Total 3 minutes
  • Course Introductionβ€’3 minutes
1 readingβ€’Total 5 minutes
  • Course Overviewβ€’5 minutes

This lesson provides a comprehensive exploration of how Generative AI revolutionizes the field of data visualization. By the end of this lesson, you will have learned about visualization skills and understood cutting-edge Generative AI tools to create data visualization artifacts.

What's included

2 videos1 reading1 assignment

2 videosβ€’Total 16 minutes
  • Understanding Data Visualization with Traditional Toolsβ€’8 minutes
  • Introduction to Generative AI in Data Visualizationβ€’8 minutes
1 readingβ€’Total 10 minutes
  • The Evolution of Data Visualization Techniquesβ€’10 minutes
1 assignmentβ€’Total 9 minutes
  • Lesson 1: Practice Quizβ€’9 minutes

In this lesson, you will discover how to leverage LLM-Chat Interfaces for efficient data wrangling and chart creation tasks. By utilizing these tools, you will enhance your data analysis and presentation skills, enabling them to communicate insights effectively.

What's included

2 videos1 reading1 assignment

2 videosβ€’Total 11 minutes
  • Creating Basic Visualizations with LLM-Chat Interfacesβ€’6 minutes
  • Enhancing Visualizations with Advanced Formatting Using LLM-Chat Interfacesβ€’5 minutes
1 readingβ€’Total 10 minutes
  • Prompting Examples for Data Visualizationβ€’10 minutes
1 assignmentβ€’Total 6 minutes
  • Lesson 2: Practice Quizβ€’6 minutes

In this lesson, you will explore a diverse range of real-world scenarios and applications where AI plays a crucial role in data visualization. Through engaging content, you will discover how to leverage Generative AI tools effectively to create insightful and impactful visualizations that drive informed decision-making. By the end of this lesson, you will have an understanding of the potential of Generative AI in enhancing data visualization across different industries and use cases.

What's included

2 videos3 readings2 assignments

2 videosβ€’Total 18 minutes
  • Real-World Applications of Generative AI in Data Visualizationβ€’8 minutes
  • Integrating Generative AI Plugins with Traditional Data Visualization Toolsβ€’10 minutes
3 readingsβ€’Total 60 minutes
  • Leveraging Generative AI for Enhanced Data Storytellingβ€’10 minutes
  • Hands-On Activity β€’20 minutes
  • Hands-On Activity Solutionβ€’30 minutes
2 assignmentsβ€’Total 24 minutes
  • Graded Assessmentβ€’18 minutes
  • Lesson 3: Practice Quizβ€’6 minutes

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Instructor

Instructor ratings
4.5 (16 ratings)
Coursera
2 Coursesβ€’3,499 learners

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"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    58.33%

  • 4 stars

    16.66%

  • 3 stars

    11.11%

  • 2 stars

    5.55%

  • 1 star

    8.33%

Showing 3 of 35

EW
Β·

Reviewed on Dec 2, 2024

A very concise course that'll hammer down the basics of using data to get across your point, efficiently & effectively!

AA
Β·

Reviewed on Sep 9, 2024

It is a structured course that is straightforward to follow, The Instructor was excellent

Frequently asked questions

In this course, it means using AI tools to turn raw data into clearer charts, dashboards, and other visual outputs. The emphasis is on improving how data is prepared, visualized, and shaped into a story that explains complex information more clearly.

You would use it when data is hard to interpret in raw form and needs to be presented in a clearer, more visual way. In this course, it is especially useful for exploring patterns, choosing suitable chart forms, and framing insights for an audience.

It fits between basic analysis and final communication, helping move from raw or cleaned data toward visuals that support explanation. The course presents it as a connected process that includes data wrangling, chart creation, refinement, and storytelling rather than a one-off charting step.

Traditional data visualization relies more on manual chart selection, cleaning, and formatting, while AI-assisted visualization can help with those tasks through prompts and automated suggestions. In this course, AI complements traditional methods by helping make visuals more dynamic, interactive, and easier to shape into a narrative.

A basic understanding of data analysis, charts, and data visualization concepts is helpful before you begin. The course is easier to follow if you can already read data and are willing to experiment with AI-supported ways of presenting it.

Learners work mainly with LLM chat interfaces and AI-powered visualization tools. The course focuses on prompting and AI-assisted data wrangling as the main methods for generating and improving visualizations.

You practice preparing data for visualization, generating common chart types with AI, and refining visuals with clearer labels, colors, legends, and layout choices. You also explore how to combine visuals into dashboards and use them to support stronger data storytelling.

Financial aid available,