Course Outline

Module 1: Organizing Data

Grouping Tables

Appending Tables to a Query

Module 2: Advanced Power Query M Language

When to Use M and When to Use DAX

Create a Date Table in the Power Query Editor

Module 3: Advanced Data Refreshing

Data Refresh

Gateways

Installing a Gateway

Adding Data Sources

Scheduled Refresh Using a Gateway

Module 4: Time Intelligence Functions

SAMEPERIODLASTYEAR Function

DATEADD Function

PARALLELPERIOD Function

TOTALYTD and TOTALMTD Functions

Module 5: DAX and Filter Contexts

FILTER Function

ALL Function

ALLSELECTED Function

CROSSFILTER Function

DIVIDE Function

Variables in DAX

Ranking with RANKX

What-if Parameters

LOOKUPVALUE Function

Module 6: Advanced Report Features

Creating a Hierarchy for a Non-Date Field

Drill-Through

Report Tooltips

Grouping and Binning

Installing Custom Visuals

Module 7: Performing Analytics in Power BI

This module will teach you how to use Power BI for data analysis, including identifying outliers, grouping data, and binning data for analysis. You will also learn how to perform time series analysis and work with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature.

Learning Objectives

In this module, you will:

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

Use Advanced Analytics Custom Visuals

Review Quick Insights

Apply AI Insights

Module 8: Implementing Row-Level Security

Row-level security (RLS) enables you to create reports that target data for specific users. In this module, you will learn how to implement RLS using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in both Power BI Desktop and the Power BI service.

Learning Objectives

In this module, you will:

Configure Row-Level Security Using a Static Method

Configure Row-Level Security Using a Dynamic Method

Summary and Next Steps

Requirements

Audience

  • Beginners in Power BI for government
 14 Hours

Number of participants


Price per participant

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