By the end of the programme, participants will be able to:
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
Data Analytics and Microsoft
Getting Started with Power BI Lab : Getting Started ▪ Getting Started
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
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
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
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
Module 6: Optimize Model Performance
Optimze the model for performance
Optimize DirectQuery Models
Create and manage 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 adn 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
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
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
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
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
Module 12: Manage Datasets in Power BI
• Parameters • Datasets
Module 13: Row-level security
Security in Power BI
Who Should Attend
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.
Course Pre-requisites
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
Course Details
Course Title: Analyzing Data with Microsoft Power BI