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This credential earner demonstrated their applied knowledge in wrangling and analyzing open data sets with Python. The earner has performed data loading, cleaning, transforming, and visualizing using Python, to help improve services. The earner will build and develop their transferable skills and gain real industry experience, and be able to start their career as an entry-level data analyst, data engineer, or data scientist.

Analyze and prepare content in eDiscovery review sets

Units in this learning path:

• Introduction
• Create Manage Review Set
• Search Review Set
• Tag Organize Content
• Run Analytics Review Set
• Export Reuse Review Set
• Query Keyword Reports
• Knowledge Check
• Summary

Products: M365, Microsoft Purview

Roles: Administrator, Auditor

Level: Intermediate

Subjects: Data Management, Threat Protection

Duration: 46 minutes

Relational data warehouses are a core element of most enterprise Business Intelligence (BI) solutions, and are used as the basis for data models, reports, and analysis.

Units in this learning path:

• Introduction
• Design Implement Star Schema
• Create Tables
• Load Data
• Query Data
• Exercise Explore Data Warehouse
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Storage

Duration: 89 minutes

Focus on evaluating analytics and key performance indicators of your marketing efforts to help understand impact and what tactics work best for your target audience. This learning path covers reviewing insights captured from contacts, leads, accounts, segments, and more. Entity-level and form-level calendars are covered as well as creating and customizing marketing calendars.

Modules in this learning path:

• Analyze Insights Marketing
• Access Interpret Analytics Marketing
• Marketing Calendar

Products: Dynamics 365, Customer Insights Journeys

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Marketing Sales, Data Analytics

Duration: 118 minutes

Analyze query results using KQL

Units in this learning path:

• Introduction
• Use Summarize Operator
• Use Summarize Operator to Filter Results
• Use Summarize Operator to Prepare Data
• Use Render Operator to Create Visualizations
• Knowledge Check
• Summary Resources

Products: Microsoft Sentinel, Azure Log Analytics, Defender Xdr

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Data Analytics, Cloud Security

Duration: 37 minutes

Internet of Things (IoT) devices collect data to keep manufacturing plants running efficiently, manage operating conditions on factory floors, monitor homes and businesses, and more. Understanding how to gather this data and unlock the insights is…

This credential earner demonstrated their applied knowledge in analyzing data to provide informed guidance to the stakeholders. The earner has conducted stakeholder interviews, used descriptive analytics to uncover patterns, and made recommendations based on the analysis. The earner will build and develop their transferable skills and gain real industry experience.

This course will get you started on migration considerations and introduces common patterns that you can use as the basis for many serverless applications. In this course, you will learn about the different compute and data store services that you…

When building apps for work, you typically integrate with secured APIs. Learn about the two common ways of how APIs are secured – API key and OAuth2, and how to integrate with them when building an API plugin for declarative agents that run in Microsoft 365 Copilot.

Units in this learning path:

• Introduction
• Integrate API Plugin Key
• Exercise Integrate API Plugin Key
• Integrate API Plugin Oauth
• Exercise Integrate API Plugin Oauth
• Knowledge Check
• Summary

Products: M365, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Knowledge Management, Productivity, Data Integration, Data Management, Custom App Development

Duration: 29 minutes

Create SQL queries for Azure Cosmos DB for NoSQL that uses subqueries or cross-products.

Units in this learning path:

• Introduction
• Implement Correlated Subqueries
• Paginate Queries Results
• Implement Variables Queries
• Create Cross Product Queries
• Exercise Paginate Cross Product Query Results Sdk
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Management

Duration: 49 minutes

Automate database deployment

Units in this learning path:

• Introduction
• Describe Deployment Models Azure
• Automate Deployment Using Azure Resource Manager Bicep
• Automate Deployment Using Powershell
• Automate Deployment Using Cli
• Exercise Deploy Azure Database Using Template
• Knowledge Check
• Summary

Products: Azure, Azure SQL Database, SQL Server

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Data Management

Duration: 50 minutes