Microsoft
Generative AI for Data Science with Copilot
Microsoft

Generative AI for Data Science with Copilot

 Microsoft

Instructor: Microsoft

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
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

Earn a career certificate

Add to your LinkedIn profile

Recently updated!

September 2024

Assessments

6 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Microsoft Copilot for Data Science 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
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

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There are 3 modules in this course

This module provides a comprehensive introduction to generative AI, exploring its definition, key concepts like GANs, VAEs, and Transformers, and highlighting the role of Microsoft Copilot in enhancing data science workflows through code generation, data analysis, and bias mitigation. It also addresses the ethical implications of generative AI and provides practical guidance on integrating Copilot into existing data science practices.

What's included

12 videos5 readings2 assignments

This module dives into practical applications of generative AI in data science, demonstrating how tools like Microsoft Copilot can be used to augment data, uncover hidden patterns, detect anomalies, and simulate scenarios for enhanced decision-making and risk management.

What's included

3 videos5 readings2 assignments

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

6 videos3 readings2 assignments1 peer review

Instructor

 Microsoft
Microsoft
186 Courses1,013,550 learners

Offered by

Microsoft

Recommended if you're interested in Data Analysis

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