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Transforming Exploratory Data Analysis with AI

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Transforming Exploratory Data Analysis with AI

Dr. Beju Rao

Instructor: Dr. Beju Rao

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

Details to know

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Recently updated!

April 2025

Assessments

5 assignments

Taught in English
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There are 5 modules in this course

In this introductory video, you will get an overview of what this course covers, the key skills you will gain, and the prerequisite knowledge that will help you make the most of it. You will learn to use Generative AI to automate data summarization, enhance visualizations, and streamline exploratory data analysis. By the end, you will be equipped to integrate AI-driven insights into your workflow for faster, smarter decision-making.

What's included

1 video1 reading

In this lesson, you’ll explore how Generative AI enhances exploratory data analysis by automating routine tasks and improving efficiency. You will recognize its key capabilities and understand how it transforms traditional workflows, enabling faster and more insightful data exploration. To reinforce your learning, you will take a practice quiz along the way!

What's included

2 videos1 reading1 assignment

In this lesson, you will learn how to leverage Generative AI tools to automate repetitive exploratory data analysis tasks, such as summarizing datasets, generating visualizations, and calculating descriptive statistics. Through hands-on applications, you will discover how AI can streamline your analysis process for greater efficiency. To reinforce your learning, you will take a practice quiz along the way!

What's included

2 videos1 reading1 assignment1 ungraded lab

In this lesson, you will learn how to critically evaluate Generative AI outputs for accuracy and relevance. You will explore strategies to identify biases, address ethical concerns, and ensure responsible AI use in exploratory data analysis. Through practical examples, you will develop the skills to refine AI-driven insights for trustworthy decision-making. To reinforce your learning, you will take a practice quiz along the way!

What's included

2 videos1 reading1 assignment

In this lesson, you will analyze real-world case studies of Generative AI in exploratory data analysis. You will identify effective strategies for integrating AI into your workflows, uncover best practices, and explore how AI-driven insights can enhance decision-making and efficiency. To reinforce your learning, you will take a practice quiz along the way!

What's included

2 videos2 readings2 assignments

Instructor

Dr. Beju Rao
Coursera Instructor Network
4 Courses185 learners

Offered by

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