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Microsoft

Build reports for finance and operations apps

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Organizations have a lot of data. When an organization grows, its ability to provide context for all that data becomes increasingly crucial. Reports can organize data in a meaningful way. Finance and operations apps include reporting tools to help you create reports for your organizations, SQL Server Reporting Services (SSRS), Microsoft Power BI, and Microsoft Excel reports. You can use these reporting tools to visualize a data set in many ways, including as a tabular layout with collapsible tables and by using dashboards. Throughout this module, you build a foundation to design, create, and modify reports.

Units in this learning path:

• Implement Business Document Management
• 01 Ssrs Reports
• Query Objects Query Builder
• 02 Power Bi Reports
• 03 Excel Reports
• 04 Exercise Deploy Report
• 05 Check
• 06 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer

Level: Intermediate

Subjects: Data Visualization

Duration: 61 minutes

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Amazon Web Services

Build with Amazon MemoryDB for Redis

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Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database service that is designed to deliver ultrafast performance to meet your application needs. This course builds on the Getting Started with Amazon MemoryDB for Redis course…
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Amazon Web Services

Build with Amazon Neptune

chart-line-duotone-light-full Data Science
Amazon Neptune is a fully managed graph database built to run applications that work with highly connected data. In this course, you will learn how to create, configure, connect, integrate, deploy, and monitor a Neptune DB cluster. You can also…
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Microsoft

Build your first data model and explore the data by using Power BI - Online workshop

chart-line-duotone-light-full Data Science
In this module, you build a Power BI data model for the first time. Then use your first data model to explore data, create relationships, add data visualizations, group and bin data, and create a date table.

Units in this learning path:

• Introduction
• Exercise Create Model Explore
• Exercise Create Relationships
• Exercise Group Bin
• Exercise Create Date Table
• Knowledge Check
• Summary

Products: Power Bi

Roles: Business User, Data Analyst, Business Analyst

Level: Beginner

Subjects: Data Modeling, Data Visualization

Duration: 92 minutes

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Amazon Web Services

Building Batch Data Analytic Solutions on AWS - Supplemental Lab Playlist

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This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Building Batch Data Analytics Solutions on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.
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Amazon Web Services

Building Event-Driven Applications With Amazon EventBridge

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Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from customers applications, integrated software-as-a-service (SaaS) applications, and AWS services. You can use this service to build…
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Amazon Web Services

Building with AWS IoT SiteWise

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Do you need near real-time monitoring on your industrial equipment? What if you can visualize machine data and compute metrics that are important to your business? How might this functionality improve your operations? AWS IoT SiteWise is a managed…
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Microsoft

Business intelligence and analytics design for Dynamics 365 solutions

chart-line-duotone-light-full Data Science
The Business intelligence and analytics design workshop is for implementation projects that have significant business intelligence and analytics requirements and need guidance and best practices for solution design.

Units in this learning path:

• 1 Introduction
• 2 Overview
• 3 Prepare
• 4 Conduct
• 5 Follow Up
• 6 Check
• 7 Summary

Products: Dynamics 365, Dynamics Sales, Customer Insights Journeys, Dynamics Customer Service, Dynamics Field Service, Dynamics Finance, Dynamics Scm, Dynamics Project Operations, Dynamics Commerce, Dynamics Human Resources

Roles: Solution Architect, Functional Consultant

Level: Advanced

Subjects: Data Analytics

Duration: 37 minutes

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Salesforce

CRM Analytics Basics

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Learn how to use CRM Analytics (formerly Tableau CRM) to explore and visualise data, giving you powerful business insights.
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Microsoft

Challenge project - Add image analysis and generation capabilities to your application

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Add image analysis and generation capabilities to your application

Units in this learning path:

• Introduction
• Prepare
• Exercise Create Static Web App
• Exercise Design Gui
• Exercise Add Image Analysis
• Exercise Add Image Generation
• Exercise Check Services Configuration
• Exercise Deploy to Azure
• Knowledge Check
• Summary

Products: Vs Code, Static Web Apps, AI Services, Azure Openai

Roles: Developer, AI Engineer, Startup Founder, Student, Higher Ed Educator

Level: Beginner

Subjects: Data Management

Duration: 80 minutes

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Microsoft

Challenge project - Build a speech translator app

chart-line-duotone-light-full Data Science
Learn how to build a speech translation app by using Microsoft Power Apps and integrate it with AI.

Units in this learning path:

• Introduction
• Prepare
• Exercise Create Data Model and Canvas App
• Exercise Create Microsoft Azure AI Service
• Exercise Integrate AI Service to Power Apps
• Knowledge Check
• Summary

Products: M365, Azure, Power Platform

Roles: Student, Business User, Developer, Higher Ed Educator

Level: Beginner

Subjects: Data Management

Duration: 166 minutes

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Microsoft

Choose the correct HDInsight Configuration to build open source analytics solutions.

chart-line-duotone-light-full Data Science
Choose the correct HDInsight Configuration to build open source analytics solutions

Units in this learning path:

• 1 Introduction
• 2 Hdinsight Configuration Options
• 3 Decision Criteria Selecting Correct Hdinsight Configuration Option
• 4 Analyze Scenario Map It Hdinsight Configuration Option
• 5 Cost Optimization Strategies Hdinsight Clusters
• 6 Knowledge Check
• 7 Summary

Products: Azure Hdinsight

Roles: Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Analytics

Duration: 40 minutes

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