Course Overview
This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
Target Audience
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
Prerequisites
- 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.
- DP-900 Microsoft Azure Data Fundamentals is recommended.
Course Objectives
- Download for free and install and run the full version of Power BI Desktop, the BI and analysis software.
- Be able to create analyses, such as line charts, stacked bar charts, or geographic analyses using maps.
- You will be able to format numbers and dates, and add labels, tooltips and animation.
- You will be able to Get and Transform multiple sources of data, including merging multiple files from a folder, pivoting and unpivotting.
- Building and refine models, including adding calculated columns and measures.
- You will learn the important M and DAX functions, to enable you to build your own formulas.
Duration
3 Days
Certifications
PL-300
Register For This Course By Filling Out The Form Below:
Course Outline
1 – Discover data analysis
Overview of data analysis
Roles in data
Tasks of a data analyst
Check your knowledge
2 – Get started building with Power BI
Use Power BI
Building blocks of Power BI
Tour and use the Power BI service
3 – Get data in Power BI
Get data from files
Get data from relational data sources
Create dynamic reports with parameters
Get data from a NoSQL database
Get data from online services
Select a storage mode
Get data from Azure Analysis Services
Fix performance issues
Resolve data import errors
Check your knowledge
4 – Clean, transform, and load data in Power BI
Shape the initial data
Simplify the data structure
Evaluate and change column data types
Combine multiple tables into a single table
Profile data in Power BI
Use Advanced Editor to modify M code
Check your knowledge
5 – Design a data model in Power BI
Work with tables
Create a date table
Work with dimensions
Define data granularity
Work with relationships and cardinality
Resolve modeling challenges
Check your knowledge
6 – Add measures to Power BI Desktop models
Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures
Check your knowledge
7 – Add calculated tables and columns to Power BI Desktop models
Create calculated columns
Learn about row context
Choose a technique to add a column
Check your knowledge
8 – Use DAX time intelligence functions in Power BI Desktop models
Use DAX time intelligence functions
Additional time intelligence calculations
Check your knowledge
9 – Optimize a model for performance in Power BI
Review performance of measures, relationships, and visuals
Use variables to improve performance and troubleshooting
Reduce cardinality
Optimize DirectQuery models with table level storage
Create and manage aggregations
Check your knowledge
10 – Design Power BI reports
Design the analytical report layout
Design visually appealing reports
Report objects
Select report visuals
Select report visuals to suit the report layout
Format and configure visualizations
Work with key performance indicators
Check your knowledge
11 – Configure Power BI report filters
Apply filters to the report structure
Apply filters with slicers
Design reports with advanced filtering techniques
Consumption-time filtering
Select report filter techniques
Case study – Configure report filters based on feedback
Check your knowledge
12 – Enhance Power BI report designs for the user experience
Design reports to show details
Design reports to highlight values
Design reports that behave like apps
Work with bookmarks
Design reports for navigation
Work with visual headers
Design reports with built-in assistance
Tune report performance
Optimize reports for mobile use
Check your knowledge
13 – Perform analytics in Power BI
Explore statistical summary
Identify outliers with Power BI visuals
Group and bin data for analysis
Apply clustering techniques
Conduct time series analysis
Use the Analyze feature
Create what-if parameters
Use specialized visuals
Check your knowledge
14 – Create and manage workspaces in Power BI
Distribute a report or dashboard
Monitor usage and performance
Recommend a development life cycle strategy
Troubleshoot data by viewing its lineage
Configure data protection
Check your knowledge
15 – Manage datasets in Power BI
Use a Power BI gateway to connect to on-premises data sources
Configure a dataset scheduled refresh
Configure incremental refresh settings
Manage and promote datasets
Troubleshoot service connectivity
Boost performance with query caching (Premium)
Check your knowledge
16 – Create dashboards in Power BI
Configure data alerts
Explore data by asking questions
Review Quick insights
Add a dashboard theme
Pin a live report page to a dashboard
Configure a real-time dashboard
Configure data classification
Set mobile view
Check your knowledge
17 – Implement row-level security
Configure row-level security with the static method
Configure row-level security with the dynamic method
Check your knowledge