DA-100: Analyzing Data with Microsoft Power BI
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Course sections
Section 1
Module 1: Prepare the Data
Section 2
Get Data from different Data Sources
1
Identify and Connect to a Data Source
2
Change Data Source Settings
3
Select a Shared Dataset or Create a Local Dataset
4
Select a Storage Mode
5
Choose an Appropriate Query Type
6
Identify Query Performance Issues
7
Use the Common Data Service (CDS)
8
Use Parameters
Section 3
Profile the Data
1
Identify Data Anomalies
2
Examine Data Structures
3
Interrogate Column Properties
4
Interrogate Data Statistics
Section 4
Clean Transform and Load the Data
1
Resolve Inconsistencies, Unexpected or Null Values, and Data Quality Issues
2
Apply User-friendly Value Replacements
3
Identify and Create Appropriate Keys for Joins
4
Evaluate and Transform Column Data Types
5
Apply Data Shape Transformations to Table Structures
6
Combine Queries
7
Apply User-friendly Naming Conventions to Columns and Queries
8
Leverage Advanced Editor to Modify Power Query M code
9
Configure Data Loading
Section 5
Module 2: Model the Data
Section 6
Design a Data Model
1
Define the Tables
2
Configure Table and Column Properties
3
Define Quick Measures
4
Flatten out a Parent-child Hierarchy
5
Define Role-playing Dimensions
6
Define a Relationship’s Cardinality and Cross-filter Direction
7
Design the Data Model to Meet Performance Requirements
8
Resolve Many-to-many Relationships
9
Create a Common Date Table
10
Define the Appropriate Level of Data Granularity
Section 7
Develop a Data Model
1
Apply Cross-Filter Direction and Security Filtering
2
Create Calculated Tables
3
Create Hierarchies
4
Create Calculated Columns
5
Implement Row-level Security Roles
6
Set up the Q&A Feature
Section 8
Create Measures by using DAX
1
Use DAX to Build Complex Measures
2
Use CALCULATE to Manipulate Filters
3
Implement Time Intelligence using DAX
4
Replace Nmeric Columns with Measures
5
Use Basic Statistical Functions to Enhance Data
6
Create Semi-Additive Measures
Section 9
Optimize Model Performance
1
Remove Unnecessary Rows and Columns
2
Identify Poorly Performing Measures, Relationships, and Visuals
3
Improve Cardinality Levels by Changing Data Types
4
Improve Cardinality Levels Through Summarization
5
Create and Manage Aggregations
Section 10
Module 3: Visualize the Data
Section 11
Create Reports
1
Add Visualization Items to Reports
2
Choose an Appropriate Visualization Type
3
Format and Configure Visualizations
4
Import a Custom Visual
5
Configure Conditional Formatting
6
Apply Slicing and Filtering
7
Add an R or Python Visual
8
Configure the Report Page
9
Design and Configure for Accessibility
Section 12
Create Dashboards
1
Set Mobile View
2
Manage tiles on a Dashboard
3
Configure Data Alerts
4
Use the Q&A Feature
5
Add a Dashboard Theme
6
Pin a Live Report Page to a Dashboard
7
Configure Data Classification
Section 13
Enrich Reports for Usability
1
Configure Bookmarks
2
Create Custom Tooltips
3
Edit and Configure Interactions Between Visuals
4
Configure Navigation for a Report
5
Apply Sorting
6
Configure Sync Slicers
7
Use the Selection Pane
8
Use Drillthrough and Cross Filter
9
Drilldown into Data using Interactive Visuals
10
Export Report Data
Section 14
Module 4: Analyze the Data
Section 15
Enhance Reports to Expose Insights
1
Apply Conditional Formatting
2
Apply Slicers and Filters
3
Perform top N Analysis
4
Explore Statistical Summary
5
Use the Q&A Visual
6
Add a Quick Insights Result to a Report
7
Create Reference Lines by using Analytics Pane
8
Use the Play Axis Feature of a Visualization
Section 16
Perform Advanced Analysis
1
Identify Outliers
2
Conduct Time Series Analysis
3
Use Goupings and Binnings
4
Use the Key Influencers to Explore Dimensional Variances
5
Use the Decomposition Tree Visual to Break Down a Measure
6
Apply AI Insights
Section 17
Module 5: Deploy and Maintain Deliverables
Section 18
Manage Datasets
1
Configure a Dataset Scheduled Refresh
2
Configure Row-level Security Group Membership
3
Providing Access to Datasets
4
Configure Incremental Refresh Settings
5
Endorse a Dataset
Section 19
Create and Manage Workspaces
1
Create and Configure a Workspace
2
Recommend a Development Lifecycle Strategy
3
Assign Workspace Roles
4
Configure and Update a Workspace App
5
Publish, Import, or Update Assets in a Workspace
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Module 1: Prepare the Data
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