Microsoft Power Platform Fundamentals

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Microsoft Power Platform Fundamentals

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Covers Microsoft Power Platform fundamentals, including Power Apps, Power BI, Power Automate, and Power Virtual Agents

Original Description

In this course, you will learn the business value and product capabilities of Power Platform. You will create simple Power Apps, connect data with Microsoft Dataverse, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents. By the end of this course, you will be able to: • Describe the business value of Power Platform • Identify the core components of Power Platform • Demonstrate the capabilities of Power BI • Describe the capabilities of Power Apps • Demonstrate the business value of Power Virtual Agents Microsoft's Power Platform is not just for programmers and specialist technologists. If you, or the company that you work for, aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences or even chatbots, this is the right course to kick-start your career and learn amazing skills. Microsoft Power Platform Fundamentals will act as a bedrock of fundamental knowledge to prepare you for the Microsoft Certification: Power Platform Fundamentals - PL900 Exam. You will be able to demonstrate your real-world knowledge of the fundamentals of Microsoft Power Platform. This course can accelerate your progress and give your career a boost, as you use your Microsoft skills to improve your team’s productivity.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Why Your Best Customer Probably Isn’t Your Most Valuable One
Learn why your best customer may not be your most valuable one and how to use RFM segmentation and predictive models to identify high-value customers
Medium · Data Science
📰
What are the real-world applications of data science?
Learn how data science is applied in real-world industries to drive better decisions and improve efficiency
Dev.to AI
📰
Why Statistics is Important in Data Science
Statistics is the foundation of data science, enabling professionals to extract insights and make informed decisions from data, and its importance cannot be overstated
Medium · Data Science
📰
Does This Have AI in It Yet?
You can build AI-friendly systems using existing data discipline skills, no new skills required
Medium · Data Science
Up next
How to Use VLOOKUP and XLOOKUP in Excel | Step-by-step Guide
Jotform
Watch →