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Data Preparation and Evaluation with Copilot

Microsoft via Coursera

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Overview

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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. By the end of this course, you will be able to: - Use Copilot's natural language prompts to clean, structure, and prepare raw data for analysis - Apply Copilot's generative AI features to identify data quality issues and inconsistencies - Generate actionable insights from datasets using Copilot's evaluation capabilities - Streamline routine data preparation tasks to save time and reduce manual effort Required Course Materials: A Copilot license is required to complete this course. If you don't have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

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.