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Microsoft Power BI Data Analyst
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Module 1: Discover Data Analysis
1.1 Introduction to Data Analysis
1.2 Overview of Data Analysis
1.3 Roles in Data
1.4 Tasks of a Data Analyst
Module 2: Get Started Building with Power BI
2.1 Introduction to Microsoft Power BI
2.2 Use Power BI
2.3 Building Blocks of Power BI
2.4 Tour and Use of the Power BI Service
Module 3: Get Data in Power BI
3.1 Introduction to Getting Data in Power BI
3.2 Get Data from Files
3.3. Get Data from Relational Data Sources
3.4. Create Dynamic Reports with Parameters
3.5 Get Data from a NoSQL Database
3.6 Get Data from Online Services
3.7 Select a Storage Mode
3.8 Introduction to Azure Analysis Services
3.9 Fix Performance Issues
3.10 Resolve Data Import Errors
Module 4: Clean, Transform And Load Data in Power BI
4.1 Shape the Initial Data
4.2 Simplify the Data Structure
4.3 Evaluate and Change Column Data Types
4.4 Combine Multiple Tables Into A Single Table
4.5 Profile Data In Power BI
4.6 Introduction
Module 5: Designing a Semantic Model
5.1 Designing a Semantic Model 1. Introduction
5.2 Simplifying Table Structures
5.3 Designing a Semantic Model 3
5.4 Work With Dimensions
5.5 Define Data Granularity
5.6 Work with Relationships And Cardinality
5.7 Resolve Modeling Challenges
Module 6: Add measures to Power BI Desktop models
6.1 Introduction to Measures in Microsoft Power BI Models
6.2 Create Simple Measures
6.3. Create Compound Measures
6.4 Create Quick Measures
6.5 Compare Calculated Columns With Measures
Module 7: Add Calculated Tables And Columns To Power BI Desktop Models
7.1 Introduction To Calculated Tables
7.2 Create Calculated Columns
7.3 Learn about Row Context
7.4 Learning About Row Context
Module 8: Use DAX Time Intelligence Functions In Power BI Desktop Models
8.1 Introduction To Time Intelligence In Power Bl
8.2 Use DAX Time Intelligence Functions
8.3 Additional Time Intelligence Calculations
Module 9: Optimize A Model For Performance In Power BI
9.1 Introduction to Performance Optimization
9.2 Review Performance Of Measures, Relationships, And Visuals
9.3. Use variables To Improve Performance And Troubleshooting
9.4 Reduce Cardinality
9.5 Optimize Direct Query Models With Table Level Storage
9.6 Create and manage Aggregations
Module 10: Design Power BI Reports
10.1 Introduction to Power BI Report Design
10.2 Design the Analytical Report Layout
10.3 Designing Visually Appealing Reports
10.4 Report Objects
10.5 Select Report Visuals
10.6 Select Report Visuals to Suit the Report Layout
10.7 Formatting and Configuring Visualizations
10.8 Introduction to KPIs
Module 11: Configure Power Bi Reports Filters
11.1 Introduction to Designing Reports for Filtering
11.2 Filters To The Report Structure
11.3 Slicer Basics
11.4 Advanced Filtering Techniques Overview
11.5 Overview of Filtering Techniques
11.6 Introduction to Select Report Filter Techniques
11.7 Case Study - Configure Report Filters Based on Feedback
Module 12: Enhance power BI report designs for the User Experience
12.1 Design Reports to Show Details
12.2 Design Reports to Highlight Values
12.3. Design Reports That Behave Like Apps
12.4 Work with Bookmarks
12.5 Designing Reports for Navigation
12.6 Work With Visual Headers
12.7 Design Reports with Built-in Assistance
12.8 Introduction to Tuning Report Performance in Power BI
12.9 Why Optimize for Mobile?
Module 13: Perform Analytics in power BI
13.1 Introduction to Analytics
13.2 Importance of Statistics in Data Analysis
13.3 Introduction to Outliers
13.4 Introduction to Grouping and Binning
13.5 Introduction to Clustering
13.6 Introduction to Time Series Analysis
13.7 Overview of the Analyze
13.8 What-If Parameters
13.9 Introduction to Specialized Visuals
Module 14: Create And Manage workspaces In Power BI
14.1 Introduction to Power BI Workspaces
14.2 Distributing Reports and Dashboards
14.3 Introduction to Monitor usage and performance
14.4. Development Life Cycle Strategy
14.5 Troubleshoot Data By Viewing It's Lineage
14.6 Configuring Data Protection in Power BI
Module 15: Manage Semantic Models In Power BI
15.1 Introduction to Managing Semantic Models in Power
15.2 Using a Power BI Gateway to Connect to On-Premises Data Sources
15.3 Configure A Semantic Model Scheduled Refresh
15.4 Configuring Incremental Refresh Settings
15.5 Managing And Promote Semantic Models
15.6 Troubleshooting Service Connectivity
15.7 Introduction to Query Caching
Module 16: Create Dashboards in Power BI
16.1 Introduction to Power BI Dashboards
16.2 Configuring Data Alerts in Power BI
16.3 Explore data by asking questions
16.4 Reviewing Quick Insights in Power BI
16.5Dashboard Themes in Power BI
16.6 Pinning a Live Report Page to a Dashboard in Power BI
16.7Configure a Real-Time Dashboard in Power BI
16.8 Setting Mobile View in Power Bl
Module 17: Implement Row-Level Security
17.1 Implementing Row-Level Security in Power BI
17.2 Configure row-level security with the static method
17.3 Configuring Row-Level Security (RLS) with the Dynamic Method in Power BI
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Microsoft Power BI Data Analyst
