This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Duration: 4 Days


Successful Data Analysts start this role with experience of working with data in the cloud.
• Understanding core data concepts.
• Knowledge of working with relational data in the cloud.
• Knowledge of working with non-relational data in the cloud.
• Knowledge of data analysis and visualization concepts.

Audience profile

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 on both in the cloud and on-premises.

Job role: Data Analyst
Preparation for exam: DA-100

Skills gained

• 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

Module 1: Get Started with Microsoft Data Analytics
Lessons :
• Data Analytics and Microsoft
• Getting Started with Power BI
Lab : Getting Started

Module 2: Prepare Data in Power BI
Lessons :
• Get data from various data sources
• Optimize performance
• Resolve data errors
Lab : Preparing Data in Power BI Desktop

Module 3: Clean, Transform, and Load Data in Power BI
Lessons :
• Data shaping
• Enhance the data structure
• Data Profiling
Lab : Transforming and Loading Data

Module 4: Design a Data Model in Power BI
Lessons :
• 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

Module 5: Create Model Calculations using DAX in Power BI
Lessons :
• Introduction to DAX
• DAX context
• Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
Lab : Advanced DAX in Power BI Desktop

Module 6: Optimize Model Performance
Lessons :
• Optimze the model for performance
• Optimize DirectQuery Models
• Create and manage Aggregations

Module 7: Create Reports
Lessons :
• Design a report
• Enhance the report
Lab : Designing a report in Power BI
Lab : Enhancing Power BI reports with interaction and formatting

Module 8: Create Dashboards
Lessons :
• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard
Lab : Designing a report in Power BI Desktop - Part 1

Module 9: Create Paginated Reports in Power BI
Lessons :
• Paginated report overview
• Create Paginated reports
Lab : Creating a Paginated report

Module 10: Perform Advanced Analytics
Lessons :
• Advanced Analytics
• Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop

Module 11: Create and Manage Workspaces
Lessons :
• Creating Workspaces
• Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content

Module 12: Manage Datasets in Power BI
Lessons :
• Parameters
• Datasets

Module 13: Row-level security
Lessons :
• Security in Power BI

WhatsApp Us
Chat Us