PL-300T00: Microsoft Power BI Data Analyst course is designed for candidates who enjoy analyzing data and using Power BI to discover and unlock meaningful data insights.
This course covers Microsoft PL-300 exam objectives and offers the best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The training provides access and process data from a range of data sources, including both relational and non-relational data.
PL-300T00: Microsoft Power BI Data Analyst course also explores how to implement proper security standards and policies across the Power BI spectrum, including datasets and groups. The course will discuss managing and deploying reports and dashboards for sharing and distributing content. Finally, this course will teach how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
One Microsoft exam voucher is included with the class.
Prerequisites
Required
- Knowledge of data analysis and visualization concepts
- Knowledge of working with non-relational data in the cloud
- Knowledge of working with relational data in the cloud
- Understanding core data concepts
Recommended
- DP-900T00: Microsoft Azure Data Fundamentals
Course Objectives
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
Course Outline
- Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
- Lab: Getting Started in Power BI Desktop
- Prepare Data in Power BI
- Get data from various data sources
- Lab: Preparing Data in Power BI Desktop
- Clean, Transform, and Load Data in Power BI
- Data shaping
- Enhance the data structure
- Data Profiling
- Lab: Transforming and Loading Data in Power BI Desktop
- Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
- Lab: Data Modeling in Power BI Desktop
- Lab: Advanced Data Modeling in Power BI Desktop
- Create Model Calculations using DAX in Power BI
- Introduction to DAX
- DAX context
- Advanced DAX
- Lab: Advanced DAX in Power BI Desktop
- Lab: Introduction to DAX in Power BI Desktop
- Optimize Model Performance in Power BI
- Optimze the model for performance
- Optimize DirectQuery Models
- Create and manage Aggregations
- Create Reports in Power BI
- Design a report
- Enhance the report
- Lab: Designing a report in Power BI Desktop
- Lab: Enhancing reports with interaction and formatting in Power BI Desktop
- Create Dashboards in Power BI
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
- Lab: Creating a Dashboard in Power BI Service
- Enhance reports for usability and storytelling in Power BI
- Paginated report overview
- Create Paginated reports
- Lab: Creating a Paginated report in Power BI Desktop
- Perform Advanced Analytics in Power BI
- Advanced Analytics
- Data Insights through AI visuals
- Lab: Data Analysis in Power BI Desktop
- Manage Datasets in Power BI
- Parameters
- Datasets
- Security in Power BI
- Create and Manage Workspaces in Power BI
- Creating Workspaces
- Sharing and Managing Assets
- Lab: Publishing and Sharing Power BI Content
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
