DA-100T00 Analyzing Data with Power BI
CLASS DATE(s):
8/17/2021 - 8/20/2021
9/28/2021 - 10/1/2021
11/15/2021 - 11/18/2021

COURSE LENGTH: 4 Days

COURSE COST: $1995.00

COURSE TIMES: 9:00am - 4:30pm

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COURSE OVERVIEW

This course will discuss 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 also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

AUDIENCE AND PREREQUISITES

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. 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 Cost listed does not include the cost of courseware. Course to run is subject to a minimum enrollment. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. For More information, please contact: Learn@vtec.org or call 207-775-0244.

COURSE TOPICS:


Module 1: Get Started with Microsoft Data Analytics
Data Analytics and Microsoft
Getting Started with Power BI
Lab : 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

Module 3: Clean, Transform, and Load Data in Power BI
Data shaping
Enhance the data structure
Data Profiling
Lab : Transforming and 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 and 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
Optimize the model for performance
Optimize Direct Query 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 and format properties
Lab : Enhancing Power BI reports with interaction and formatting
Create and configure Sync Slicers
Create a drill through page
Apply conditional formatting

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 and 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 the 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