Microsoft

Generative AI for Data Science with Copilot

Microsoft

Generative AI for Data Science with Copilot

 Microsoft

Instructor: Microsoft

Access provided by Borough of Manhattan Community College

6,519 already enrolled

Gain insight into a topic and learn the fundamentals.

40 reviews

Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.

40 reviews

Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Define and differentiate types of generative AI models

  • Use Microsoft Copilot to generate code, analyze data, and build generative models

  • Identify practical use cases for generative AI in data science, such as data augmentation and anomaly detection

  • Assess the strengths and weaknesses of different generative models and understand their ethical implications

Details to know

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Assessments

6 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the Generative AI for Data Scientists 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 3 modules in this course

In this module, you’ll master Generative AI fundamentals like GANs, VAEs, and Transformers, while learning to supercharge your data science workflow with Microsoft Copilot. You'll discover how Copilot accelerates coding, deepens analysis, and helps mitigate model bias, all while navigating crucial ethical considerations to seamlessly integrate AI into your daily practice.

What's included

9 videos8 readings2 assignments

In this module, you’ll explore how Generative AI transforms practical data science using tools like Microsoft Copilot. You’ll learn to augment datasets, uncover hidden patterns, and detect anomalies; empowering you to simulate complex scenarios, manage risks, and make smarter, data-driven decisions.

What's included

3 videos5 readings2 assignments1 ungraded lab

This module dives into the data security and privacy challenges of generative AI, focusing on Microsoft Copilot. You'll learn about potential risks like data breaches and the creation of misleading information, while also exploring strategies and techniques to safeguard data and ensure responsible AI use.

What's included

5 videos4 readings2 assignments1 peer review

Earn a career certificate

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Instructor

Instructor ratings
(7 ratings)
 Microsoft
416 Courses2,761,582 learners

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Microsoft

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.