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
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile.
Develop Your Specialized Knowledge
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.