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.
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
Included with 
Gain insight into a topic and learn the fundamentals.
4.8
(14 reviews)
Beginner level
Recommended experience
7 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: Data Quality
- Category: Data Processing
- Category: Data Validation
- Category: Generative AI
- Category: Natural Language Processing
- Category: Anomaly Detection
- Category: Data Synthesis
- Category: Responsible AI
- Category: Data Cleansing
- Category: Data Transformation
- Category: Prompt Engineering
- Category: Microsoft Copilot
- Category: Data Pipelines
- Category: Data Ethics
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this 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
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
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
Earn a career certificate
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Instructor
Microsoft
239 Courses1,849,693 learners
Offered by
Microsoft
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