Power BI Data Analyst Associate Prep
- Offered byCoursera
Power BI Data Analyst Associate Prep at Coursera Overview
Duration | 3 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Power BI Data Analyst Associate Prep at Coursera Highlights
- Earn a certificate from SkillUp EdTech
- Add to your LinkedIn profile
Power BI Data Analyst Associate Prep at Coursera Course details
- What you'll learn
- Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI.
- Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions.
- Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature.
- Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI.
- This short course will guide you on preparing for the PL-300: Microsoft Power BI Data Analyst exam. This exam is the requirement for Microsoft Certified: Power BI Data Analyst Associate certification. The course provides you with a detailed understanding of the Power BI concepts, its features, and capabilities.
- By the end of this course, you will be able to:
- - Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI.
- - Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions.
- - Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature.
- - Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI.
- The PL-300 exam is intended for data professionals who want to collaborate closely with business stakeholders, enterprise data analysts, and data engineers to identify and acquire data, transform the data, create data models, visualize data, and share assets using Power BI.
- Having experience with data analysis, reporting, Power BI, proficiency in writing expressions by using Data Analysis Expressions (DAX), and understanding how to assess data quality is a must.
Power BI Data Analyst Associate Prep at Coursera Curriculum
Data preparation and modeling in Power BI
Course introduction
Introducing Power BI and its components
Getting data from different sources
Cleaning and shaping data
Loading data in Power BI
Selecting a data model framework
Working with tables and dimensions
Resolving modeling challenges
Modeling data in Power BI Desktop
Introducing Data Analysis Expressions (DAX) functions
Adding measures to Power BI models
Creating model calculations by using DAX
Course overview
Resolving data import errors and improving performance while retrieving data
Optimizing model performance in Power BI
Practice quiz: Preparing data with Power BI
Practice quiz: Designing a data model in Power BI
Practice quiz: Using advanced data modeling features
Graded quiz: Data preparation and modeling in Power BI
Meet and greet
Data visualization and analysis in Power BI
Using data visualization strategies
Creating visually appealing reports
Formatting and configuring visualizations
Techniques for enhancing Power BI reports
Using the Analyze feature
Identifying outliers and grouping data
Optimizing reports for mobile devices
Using advanced analytic features of Power BI, such as Quick Insights and AI visuals
Practice quiz: Designing data visualizations in Power BI
Practice quiz: Performing data analytics in Power BI
Graded quiz: Data visualization and analysis in Power BI
Assets deployment and maintenance
Creating a Power BI workspace
Creating a Power BI dashboard
Managing datasets
Configuring row-level security (RLS)
Sharing and publishing Power BI reports and dashboards
Congratulations and next steps
Thanks from the course team
Practice quiz: Creating and managing assets in Power BI
Graded quiz: Assets deployment and maintenance