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Generative AI for Data Science with Copilot · LearnSpace
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Generative AI for Data Science with Copilot

Курс от Microsoft
Начальный≈ 7.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course prepares you to apply Microsoft Copilot to core generative AI use cases in data science, from model building and data augmentation to risk management and responsible AI practices. Designed for data scientists, ML practitioners, and technically oriented data professionals who want to go beyond prompt-based workflows and understand how generative AI actually works — and how to use it responsibly — this course bridges foundational GenAI concepts with practical, Copilot-powered implementation. Whether you're new to generative AI or looking to formalize how it fits into your data science pipeline, you'll build both the theoretical grounding and hands-on skills needed to integrate Copilot into sophisticated, real-world workflows. By the end of this course, you will be able to: Explain core generative AI concepts — including GANs, VAEs, and Transformers — and describe how Microsoft Copilot applies them to data science tasks such as code generation, data analysis, and bias mitigation Use Copilot to perform practical data science tasks, including generating code snippets, augmenting datasets, and implementing generative models Design and evaluate generative models tailored to specific data science tasks, comparing performance against traditional methods Identify data security and privacy risks in generative AI workflows and develop responsible AI strategies to mitigate bias, protect sensitive data, and prevent misinformation Who should take this course: This course is best suited for data scientists, ML engineers, and technically proficient data professionals who want to incorporate generative AI into advanced data science workflows. Familiarity with data science concepts and experience working with datasets is recommended. This course builds on the skills introduced in Courses 1 and 2, though prior completion is not required. Prerequisites: Familiarity with data science concepts and working with datasets Basic understanding of machine learning is helpful but not required No prior generative AI or Copilot knowledge required Access to Microsoft Copilot Required Course Materials: A Copilot license is required to complete this course. If you don't have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

Навыки, которые вы освоите

Responsible AIMicrosoft CopilotGenerative AIData SecurityAnomaly DetectionGenerative Model ArchitecturesGenerative Adversarial Networks (GANs)Large Language ModelingAI literacyData EthicsAI SecurityPrompt EngineeringData SynthesisRiskingPersonally Identifiable InformationInformation Privacy

Программа курса

3 модулей · 45 учебных материалов

01Foundations of generative AI and Microsoft Copilot21 материалов

Introduction to generative AI and Copilot

Foundations of GenAI with Copilot — Why It MattersDIALOGUEThe Power of Data Science with Generative AI and Copilot ЧтениеA Look at Copilot for Data Science SyllabusЧтениеGetting started with generative AI and CopilotВидео

Учитесь у экспертов

Microsoft

Преподаватель курса

Generative AI for Data Science with Copilot
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 7.4 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский, Казахский, Малайский, Венгерский

Часть программы вашего университета
How to Get Started with Microsoft CopilotЧтение
Using Copilot with Data ScienceЧтение

Key concepts of generative AI and Copilot integration

What Is Generative AI?ВидеоDemystifying generative AI: Concepts and Copilot connectionЧтениеHow generative AI works, powered by CopilotВидеоThe rise of generative AI in data science with CopilotЧтениеExploring Copilot's generative AI capabilitiesВидеоEthical considerations in generative AI and CopilotЧтениеCopilot in action: Real-world data science case studyВидеоApplying the basics of generative AI and CopilotЗадание

Hands-on with generative AI and Copilot

Demo: Privacy-preserving techniques in actionВидеоBias in Generative AIВидеоGuiding a data analyst through a copilot-driven excel workflowDIALOGUEMitigating bias in generative models with CopilotВидеоDemo: Copilot for code generation and debuggingВидеоAdvanced Copilot Tips and Tricks for Data ScientistsЧтениеApplying generative AI and Copilot conceptsЗадание
02Generative AI use cases in data science with Copilot11 материалов

Key applications of generative AI

Generative AI: A data scientist's best friendВидеоGenerative AI in Data ScienceЧтениеCopilot in action: Real-world examplesЧтениеCopilot Data Augmentation PracticeЛабораторная

Generative models and generative AI for data augmentation

How generative models learn and createВидеоGenerative Models: A Deep DiveЧтениеPractical Tips for Data AugmentationЧтениеGenerative Models and Data AugmentationЗадание

Creating and evaluating simple generative models

Designing generative models for specific tasksВидеоEvaluating Generative Models: Metrics and MethodsЧтениеGenerative AI use cases and data scienceЗадание
03Data security and privacy in generative AI13 материалов

The risks of generative AI and Copilot

Managing AI Risks: Why It Matters to Data ScientistsDIALOGUEUnderstanding vulnerabilities in generative AI and CopilotВидеоMisinformation and deepfakes: The dark side of CopilotВидеоWhen AI goes wrong: A case study of generative AI mishapsЧтениеCan you identify the risks of generative AI and Copilot?Задание

Privacy protection with Copilot

Privacy-preserving techniquesВидеоPrivacy matters: A visual guide to protecting user data in AIВидеоExploring Technologies to Safeguard AI DataЧтение

Risk mitigation and responsible AI use

Responsible AI practicesВидеоAI Unmasked: Your Role in Identifying and Mitigating AI RisksЧтениеThe AI Risk Management Guide: Best Practices and FrameworksЧтениеEnhance a data science workflow and mitigate risks with the help of Microsoft CopilotВзаимная проверкаHow can you mitigate risk?Задание