Data Preparation and Evaluation with Copilot

Instructor: Microsoft

Beginner Level • 7 hours to complete Recommended experience • Flexible Schedule

What You'll Learn

                Assess and improve data quality using Copilot&#x27;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

Microsoft Copilot
Data Quality
Artificial Intelligence
Natural language processing
Data Validation
Data Cleansing
Prompt Engineering
Data Transformation
Anomaly Detection
Data Ethics
Generative AI
Data Pipelines
Automation
Data Synthesis
Data Processing

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                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.

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.

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.