Data Preparation and Evaluation with Copilot

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Data Preparation and Evaluation with Copilot

This course is part of multiple programs.

Instructor: Microsoft

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3 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments¹

AI Graded see disclaimer

Taught in English

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Earn a shareable career certificate

There are 3 modules in this course

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.

What's included

10 videos7 readings2 assignments

10 videos Total 47 minutes

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

7 readings Total 70 minutes

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

2 assignments Total 45 minutes

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

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.

What's included

13 videos4 readings2 assignments

13 videos Total 58 minutes

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

4 readings Total 40 minutes

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

2 assignments Total 45 minutes

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

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.

What's included

9 videos4 readings2 assignments1 peer review

9 videos Total 38 minutes

Why clean data matters 3 minutes
Meet your data cleaning Copilot 3 minutes
Copilot finds dirty data 2 minutes
The power of prompts 5 minutes
How Copilot fixes data 7 minutes
Data makeover with Copilot 6 minutes
Tips for seamless data flows 3 minutes
Human vs. AI cleaning race 4 minutes
DIY or Copilot? 5 minutes

4 readings Total 40 minutes

Common data quality issues and solutions 10 minutes
Advanced prompting for data cleaning 10 minutes
Data transformation cookbook 10 minutes
The ROI of Copilot 10 minutes

2 assignments Total 45 minutes

Can you spot and fix data issues? 15 minutes
Can you identify efficiences and ethical considerations? 30 minutes

1 peer review Total 30 minutes

Implementing Copilot for Data optimization 30 minutes

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Instructor

Microsoft

287 Courses 2,320,610 learners

Offered by

Microsoft

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