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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.
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.
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
Show info about module content
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
Synthetic data generation with Copilot
Module 2•2 hours to complete
Module details
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
Show info about module content
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
Data cleaning and preparation with Copilot
Module 3•3 hours to complete
Module details
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
Show info about module content
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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