Data Preparation and Evaluation with Copilot

Data Preparation and Evaluation with Copilot

本课程是多个项目的一部分。

位教师： Microsoft

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1,518 人已注册

3个模块

深入了解一个主题并学习基础知识。

17 条评论

初级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

17 条评论

初级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Assess and improve data quality using Copilot's analysis tools
Generate synthetic datasets for various applications, such as model training or privacy preservation
Clean and prepare data for analysis, automating tasks like formatting, deduplication, and standardization
Develop strategies for integrating Copilot into existing data workflows

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作业

6 任务¹

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授课语言：英语（English）

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该课程共有3个模块

This course prepares you to use Microsoft Copilot for data preparation and evaluation tasks. You'll learn how to leverage Copilot's generative AI and natural language processing capabilities to streamline your workflow, ensure data quality, and generate valuable insights, ultimately making you a more efficient and effective data professional.

This module explores how Copilot's natural language processing and generative AI capabilities can be leveraged to assess data quality, identify anomalies, and generate actionable insights for data improvement.

涵盖的内容

10个视频7篇阅读材料2个作业

10个视频总计47分钟

The foundations of data quality 7分钟
Spotting the unusual: Anomaly detection with generative AI 3分钟
Comparing anomaly detection methods: Traditional vs. generative 6分钟
High-Level Use Case: Anomaly Detection 3分钟
Copilot: The AI-powered data analyst 2分钟
Demo: Data analysis with Copilot 5分钟
Demo: Data quality assessment 3分钟
Choosing the right tool for the job 6分钟
Copilot's ROI on data quality: A business case 3分钟
Building your data quality strategy with Copilot 9分钟

7篇阅读材料总计70分钟

Data anomalies: A field guide 10分钟
Choosing the right anomaly detection method 10分钟
How to Get Started with Microsoft Copilot 10分钟
NLP and generative AI: The power behind Copilot 10分钟
Data quality reports: Deciphering the insights 10分钟
The cost of bad data: A business perspective 10分钟
Blueprint for data quality: A step-by-step guide 10分钟

2个作业总计45分钟

Can you identify data quality, ROI, and how to build a data strategy? 30分钟
Can you spot the anomaly? 15分钟

This module dives into using Copilot to generate synthetic datasets for various purposes, exploring its strengths and limitations, and discussing the ethical considerations and potential risks of utilizing synthetic data.

涵盖的内容

13个视频4篇阅读材料2个作业

13个视频总计58分钟

The art of data augmentation 6分钟
Synthetic data in action 3分钟
Copilot and synthetic data 4分钟
Demo: Data augmentation with Copilot 5分钟
Demo: Building a synthetic customer data generator 5分钟
Copilot's synthetic data engine 3分钟
Synthetic data tips 4分钟
Copilot for model training 7分钟
Dangers of low-quality synthetic data 3分钟
Case study: Synthetic data success 4分钟
Synthetic data and privacy 3分钟
How Do We Safely Create Synthetic Data? 5分钟
Synthetic data's future 4分钟

4篇阅读材料总计40分钟

Synthetic data 101 10分钟
Copilot's advanced techniques 10分钟
Evaluating synthetic data 10分钟
Ethics of synthetic data 10分钟

2个作业总计45分钟

Can you spot quality synthetic datasets? 30分钟
Can you generate synthetic data? 15分钟

This module focuses on harnessing Copilot's capabilities to automate and streamline data cleaning and preparation tasks, enhancing data quality and readiness for analysis, while minimizing manual effort.