Data Preparation and Evaluation with Copilot

Microsoft via Coursera

Coursera based on 10 ratings

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Overview

"Data Preparation and Evaluation with Copilot" is a hands-on course designed to help data professionals and enthusiasts harness the power of GitHub Copilot to streamline data preprocessing and evaluation tasks. This course focuses on using AI-assisted coding to efficiently clean, transform, and assess datasets, setting the foundation for successful machine learning and data analysis projects. Participants will explore how Copilot can assist in handling missing data, normalizing and scaling features, encoding categorical variables, and detecting outliers. The course also covers best...

Syllabus

Data quality evaluation with generative AI and Copilot

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.

Synthetic data generation with Copilot

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.

Data cleaning and preparation with Copilot

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.