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.
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.
Preparation for exam
Lenght
4 days
Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
- 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.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Skills gained
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
Course outline
Module 1: Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
Lab : Getting Started
- Getting Started
After completing this module, you will be able to:
- Explore the different roles in data
- Identify the tasks that are performed by a data analyst
- Describe the Power BI landscape of products and services
- Use the Power BI service
Module 2: Prepare Data in Power BI
- Get data from various data sources
- Optimize performance
- Resolve data errors
Lab : Preparing Data in Power BI Desktop
- Prepare Data
After completing this module, you will be able to:
- Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Optimize query performance
- Resolve data import errors
Module 3: Clean, Transform, and Load Data in Power BI
- Data shaping
- Enhance the data structure
- Data Profiling
Lab : Transforming and Loading Data
- Loading Data
After completing this module, students will be able to:
- Apply data shape transformations
- Enhance the structure of the data
- Profile and examine the data
Module 4: Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
Lab : Data Modeling in Power BI Desktop
- Create Model Relationships
- Configure Tables
- Review the model interface
- Create Quick Measures
Lab : Advanced Data Modeling in Power BI Desktop
- Configure many-to-many relationships
- Enforce row-level security
After completing this module, you will be able to:
- Understand the basics of data modeling
- Define relationships and their cardinality
- Implement Dimensions and Hierarchies
- Create histograms and rankings
Module 5: Create Measures using DAX in Power BI
- Introduction to DAX
- DAX context
- Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
- Create calculated tables
- Create calculated columns
- Create measures
Lab : Advanced DAX in Power BI Desktop
- Use the CALCULATE() function to manipulate filter context
- use Time Intelligence functions
After completing this module, you will be able to:
- Understand DAX
- Use DAX for simple formulas and expressions
- Create calculated tables and measures
- Build simple measures
- Work with Time Intelligence and Key Performance Indicators
Module 6: Optimize Model Performance
- Optimize the model for performance
- Optimize DirectQuery Models
- Create and manage Aggregations
After completing this module, you will be able to:
- Understand the importance of variables
- Enhance the data model
- Optimize the storage model
- Implement aggregations
Module 7: Create Reports
- Design a report
- Enhance the report
Lab : Designing a report in Power BI
- Create a live connection in Power BI Desktop
- Design a report
- Configure visual fields and format properties
Lab : Enhancing Power BI reports with interaction and formatting
- Create and configure Sync Slicers
- Create a drillthrough page
- Apply conditional formatting
- Create and use Bookmarks
After completing this module, you will be able to:
- Design a report page layout
- Select and add effective visualizations
- Add basic report functionality
- Add report navigation and interactions
- Improve report performance
- Design for accessibility
Module 8: Create Dashboards
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
Lab : Designing a report in Power BI Desktop – Part 1
- Create a Dashboard
- Pin visuals to a Dashboard
- Configure a Dashboard tile alert
- Use Q&A to create a dashboard tile
After completing this module, students will be able to:
- Create a Dashboard
- Understand real-time Dashboards
- Enhance Dashboard usability
Module 9: Create Paginated Reports in Power BI
- Paginated report overview
- Create Paginated reports
Lab : Creating a Paginated report
- Use Power BI Report Builder
- Design a multi-page report layout
- Define a data source
- Define a dataset
- Create a report parameter
- Export a report to PDF
After completing this module, you will be able to:
- Explain paginated reports
- Create a paginated report
- Create and configure a data source and dataset
- Work with charts and tables
- Publish a report
Module 10: Perform Advanced Analytics
- Advanced Analytics
- Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
- Create animated scatter charts
- Use teh visual to forecast values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
After completing this module, you will be able to:
- Explore statistical summary
- Use the Analyze feature
- Identify outliers in data
- Conduct time-series analysis
- Use the AI visuals
- Use the Advanced Analytics custom visual
Module 11: Create and Manage Workspaces
- Creating Workspaces
- Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
- Map security principals to dataset roles
- Share a dashboard
- Publish an App
After completing this module, you will be able to:
- Create and manage a workspace
- Understand workspace collaboration
- Monitor workspace usage and performance
- Distribute an App
Module 12: Manage Datasets in Power BI
- Parameters
- Datasets
After completing this module, you will be able to:
- Create and work with parameters
- Manage datasets
- Configure dataset refresh
- Troubleshoot gateway connectivity
Module 13: Row-level security
- Security in Power BI
After completing this module, you will be able to:
- Understand the aspects of Power BI security
- Configure row-level security roles and group memberships
Specijalna ponuda
Za sve prijave za najavljen termin u martuu, polaznici dobijaju vaučer za besplatno polaganje sertifikacionog ispita DA-100.
Vaučer se može iskoristiti u periodu od 12 meseci od datuma poručivanja.
