WA3312
Data Analytics using Power BI (Bootcamp) Training
This Power BI course will discuss the various methods and best practices that align with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
Course Details
Duration
5 days
Prerequisites
Experience of working with data in the cloud, specifically:
- Understanding core data concepts.
- Knowledge of working with relational and non-relational data.
- Knowledge of data analysis and visualization concepts.
Target Audience
- Data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.
- Individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
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
- Working with datasets, dataflows, and datamarts
- Working with calculation groups
- Using DAX Studio and Tabular Editor tools to optimize report performance
- Create paginated reports in Power BI
Course Outline
- Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
- Prepare Data in Power BI
- Get data from various data sources
- Prepare Data
- Clean, Transform, and Load Data in Power BI
- Data shaping
- Enhance the data structure
- Data Profiling
- Loading Data
- Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
- Create Model Relationships
- Configure Tables
- Review the model interface
- Create Quick Measures
- Configure many-to-many relationships
- Enforce row-level security
- Create Model Calculations using DAX in Power BI
- Introduction to DAX
- DAX context
- Advanced DAX
- Use the CALCULATE() function to manipulate filter context
- Use Time Intelligence functions
- Create calculated tables
- Create calculated columns
- Create measures
- 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
- Create a live connection in Power BI Desktop
- Design a report
- Configure visual fields and format properties
- Create and configure Sync Slicers
- Create a drillthrough page
- Apply conditional formatting
- Create and use Bookmarks
- Create Dashboards in Power BI
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
- Lab : Creating a Dashboard in Power BI Service
- Create a Dashboard
- Pin visuals to a Dashboard
- Configure a Dashboard tile alert
- Use Q&A to create a dashboard tile
- Enhance reports for usability and storytelling in Power BI
- Paginated report overview
- Create Paginated reports
- 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
- Perform Advanced Analytics in Power BI
- Advanced AnalyticsData Insights through AI visuals
- Create animated scatter charts
- Use the visual to forecast values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
- Manage Datasets in Power BI
- Parameters
- Datasets
- Security in Power BI
- Create and Manage Workspaces in Power BI
- Creating Workspaces
- Sharing and Managing Assets
- Map security principals to dataset roles
- Share a dashboard
- Publish an App
- Create calculation groups
- Optimize Power BI Performance
- Create and manage scalable Power BI dataflows
- Create paginated reports
- Get data.
- Create a paginated report.
- Work with charts and tables on the report.
- Publish the report.
