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

1,678 already enrolled

Included with

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

Category: Natural Language Processing
Category: Data Pipelines
Category: Data Ethics
Category: Microsoft Copilot
Category: Data Preprocessing
Category: Data Processing
Category: Responsible AI
Category: Data Cleansing
Category: Data Validation
Category: Data Quality
Category: Data Synthesis
Category: Anomaly Detection

Tools you'll learn

Category: Generative AI
Category: Generative Adversarial Networks (GANs)

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments¹

AI Graded see disclaimer

Taught in English

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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.

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 videosTotal 47 minutes

The foundations of data quality7 minutes
Spotting the unusual: Anomaly detection with generative AI3 minutes
Comparing anomaly detection methods: Traditional vs. generative6 minutes
High-Level Use Case: Anomaly Detection3 minutes
Copilot: The AI-powered data analyst2 minutes
Demo: Data analysis with Copilot5 minutes
Demo: Data quality assessment3 minutes
Choosing the right tool for the job6 minutes
Copilot's ROI on data quality: A business case3 minutes
Building your data quality strategy with Copilot9 minutes

7 readingsTotal 70 minutes

Data anomalies: A field guide10 minutes
Choosing the right anomaly detection method10 minutes
How to Get Started with Microsoft Copilot10 minutes
NLP and generative AI: The power behind Copilot10 minutes
Data quality reports: Deciphering the insights10 minutes
The cost of bad data: A business perspective10 minutes
Blueprint for data quality: A step-by-step guide10 minutes

2 assignmentsTotal 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 videosTotal 58 minutes

The art of data augmentation6 minutes
Synthetic data in action3 minutes
Copilot and synthetic data4 minutes
Demo: Data augmentation with Copilot5 minutes
Demo: Building a synthetic customer data generator5 minutes
Copilot's synthetic data engine3 minutes
Synthetic data tips4 minutes
Copilot for model training7 minutes
Dangers of low-quality synthetic data3 minutes
Case study: Synthetic data success4 minutes
Synthetic data and privacy3 minutes
How Do We Safely Create Synthetic Data?5 minutes
Synthetic data's future4 minutes

4 readingsTotal 40 minutes

Synthetic data 10110 minutes
Copilot's advanced techniques10 minutes
Evaluating synthetic data10 minutes
Ethics of synthetic data10 minutes

2 assignmentsTotal 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 videosTotal 38 minutes

Why clean data matters3 minutes
Meet your data cleaning Copilot3 minutes
Copilot finds dirty data2 minutes
The power of prompts5 minutes
How Copilot fixes data7 minutes
Data makeover with Copilot6 minutes
Tips for seamless data flows3 minutes
Human vs. AI cleaning race4 minutes
DIY or Copilot?5 minutes

4 readingsTotal 40 minutes

Common data quality issues and solutions10 minutes
Advanced prompting for data cleaning10 minutes
Data transformation cookbook10 minutes
The ROI of Copilot10 minutes

2 assignmentsTotal 45 minutes

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

1 peer reviewTotal 30 minutes

Implementing Copilot for Data optimization30 minutes

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Instructor

Microsoft

288 Courses2,528,615 learners

Offered by

Microsoft

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.