Harvard University · edX
Data Science: Building Machine Learning Models
4.4133 ratingsBuild a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Implement retention, eDiscovery, and Communication compliance in Microsoft Purview
Overview
This module guides you through implementing data compliance and governance using Microsoft Purview, ensuring your organization meets regulatory requirements and manages data effectively.
Syllabus 6
- Introduction 5 minutes
- Exercise - Create retention policies 15 minutes
- Exercise - Create and publish retention labels 15 minutes
- Exercise - Conduct an eDiscovery search 15 minutes
- Exercise - Create a communication compliance policy 15 minutes
- Summary 5 minutes
Skills you'll practise
Advantages and disadvantages
Advantages
- Free, official and kept up to date by Microsoft.
- Free sandbox environments for many Azure exercises, no credit card needed.
- Counts toward Microsoft certification exams (AZ-900, AI-900, PL-300…).
- From Microsoft, a well-regarded name.
- Free digital badge you can add to LinkedIn.
- Completely free.
- Self-paced: start any time.
- A clear syllabus (6 parts) you can see before you start.
Disadvantages
- Mostly reading, not video.
- Focused on Microsoft products.
- Short (1 hour): an overview, not deep coverage.
Some points apply to every course of this kind; see how we rank.
Free, with a free credential
- Free: Sign in with any Microsoft account.
- Badge: Finish it to earn a free badge on your Microsoft Learn profile.
Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
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