IBM
Generative AI: Enhance your Data Analytics Career
IBM

Generative AI: Enhance your Data Analytics Career

This course is part of multiple programs.

Dr. Pooja
Abhishek Gagneja
Rav Ahuja

Instructors: Dr. Pooja

Sponsored by University of Texas at Austin

8,601 already enrolled

Gain insight into a topic and learn the fundamentals.
4.6

(65 reviews)

Intermediate level

Recommended experience

14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

(65 reviews)

Intermediate level

Recommended experience

14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe how you can use Generative AI tools and techniques in the context of data analytics across industries

  • Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools

  • Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights

  • Analyze the ethical considerations and challenges associated with using Generative AI in data analytics

Details to know

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Assessments

7 assignments

Taught in English

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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

This module introduces Generative AI for Data Analytics. You will explore several generative AI tools used in data analytics and gain insights into implementing them successfully. The module covers using generative AI for tasks like data generation and augmentation, data preparation, querying databases, and obtaining insights from Q&A models.

What's included

8 videos2 readings3 assignments1 app item1 discussion prompt10 plugins

In this module, you will have the skills and knowledge to effectively use Generative AI to derive insights, create visually compelling data representations, and construct interactive dashboards for data analytics pipelines. You will also understand the importance of ethical practices in utilizing generative models for data analytics.

What's included

7 videos1 reading3 assignments3 app items1 discussion prompt6 plugins

In this module, you will complete a guided practice project where you will use a real-world data set and practice generative AI to generate Python codes that can perform data preparation, analysis, visualization and dashboarding. In addition, you will attempt a final graded exam designed to evaluate your understanding of generative AI.

What's included

1 video2 readings1 assignment2 app items1 plugin

Instructors

Instructor ratings
3.8 (12 ratings)
Dr. Pooja
IBM
4 Courses305,992 learners

Offered by

IBM

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