Course Outline
Introduction to Microsoft Power Platform
- Overview of Power Platform
- Key components and their interactions
- Setting up the environment
- Overview of common data service (DataVerse)
- Understanding connectors and integrations
Power Apps
- Introduction to Power Apps
- Types of Power Apps (Canvas, Model-driven, and Portal)
- Planning and setting up an app environment
- Designing user interfaces
- Integrating data sources
- Using formulas and controls
- Data modeling basics
- Form customization and business rules
- Automated workflows
- Using custom connectors
- Integration with other Power Platform components
- Monitoring and analytics
Power Automate
- Overview of automation capabilities
- Different types of flows (Automated, Button, Scheduled, and Business process flows)
- Triggering events and actions
- Working with expressions and conditions
- Error handling and debugging
- Using AI Builder
- Handling approvals and complex processes
- Best practices for efficient flows
DataVerse
- Introduction to DataVerse
- Architecture and data management
- Security modeling
- Creating and managing entities
- Relationships and data integrity
- Using calculated fields and roll-up fields
- Customizing forms, views, and dashboards
Power BI
- Fundamentals of Power BI
- Data sourcing and preparation
- Building datasets and data models
- Designing effective dashboards
- Sharing insights across the organization
- DAX and advanced data modeling
- Administration and workspace management
Power Virtual Agents
- Introduction to Power Virtual Agents
- Planning and creating bots
- Understanding the authoring canvas
- Integrating bots with data sources
- Handling user inputs and outputs
- Using AI to enhance bot capabilities
- Monitoring and analyzing bot performance
Summary and Next Steps
Requirements
- Basic understanding of business processes
- Basic IT and database knowledge
Audience
- IT professionals
- Data analysts
- Business analysts
Testimonials (5)
How big data work, data programs, greater knowledge of how our current world works using data
Ozayr Hussain - Vodacom
Course - A Practical Introduction to Data Analysis and Big Data
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
Discussion on the use of ElasticSearchin our company project and its optimization.
Michal - Madkom
Course - Elasticsearch for Developers
Machine Translated