Overview
This course delves into the various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. Participants will learn how to access and process data from various sources, encompassing both relational and non-relational types. Moreover, the course will explore techniques for managing, deploying, and distributing reports and dashboards for collaborative sharing.
This course is designed for individuals who aim to understand the fundamentals of database concepts in a cloud environment, acquire basic skills in cloud data services, and deepen their foundational knowledge of Microsoft Azure’s data services.
This course is designed for individuals who aim to understand the fundamentals of database concepts in a cloud environment, acquire basic skills in cloud data services, and deepen their foundational knowledge of Microsoft Azure’s data services.
Roles
- Data Analyst
What You'll Learn
- Prepare and organize data for analysis
- Develop analytical skills (data cleaning, analysis, and visualization) using Power BI
- Create and manage workspaces and datasets in Power BI
Skills You'll Gain
- Data analysis
- Azure
- Power BI
Total hours
- Sync Hands-on/Lecture: 6 Hours
- Async Learning: 12 Hours
- Assessment: 8 hours
- Total: 26 Hours
Course outline
Required resources
Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Power BI (Software); Adequate Internet Connection (Network)
Pre-Requisites
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.
Assessment
Practical Assessment: Hands-on activities are prepared to assess the attainment of learning outcomes.
Final Assessment: This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.
Credit and Recognition
The learner is eligible to take the Microsoft Certified: Power BI Data Analyst Associate.
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This course is accredited by Microsoft and is facilitated by a Microsoft Certified professional.
Learning Pathways
