There are no items in your cart. Continue shopping on our Course Directory page.
Pay now -or- pay later
Pay by credit card at checkout
-or- pay later by invoice, as always.
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.
LIVE, INSTRUCTOR-LED
TRAINING AT YOUR SITE
Customize Your Team Training Experience
CONTACT USOur FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.
Feb 9 - 12
9:00 AM - 4:30 PM EST
Online (AnyWare)
Mar 16 - 19
9:00 AM - 4:30 PM EDT
Online (AnyWare)
Apr 20 - 23
9:00 AM - 4:30 PM PDT
Online (AnyWare)
May 11 - 14
9:00 AM - 4:30 PM EDT
Ottawa / Online (AnyWare)
Jun 15 - 18
9:00 AM - 4:30 PM CDT
Austin / Online (AnyWare)
Jul 20 - 23
9:00 AM - 4:30 PM EDT
New York / Online (AnyWare)
Sep 14 - 17
9:00 AM - 4:30 PM EDT
Herndon, VA / Online (AnyWare)
Oct 5 - 8
9:00 AM - 4:30 PM PDT
Seattle / Online (AnyWare)
Nov 2 - 5
9:00 AM - 4:30 PM EDT
Ottawa / Online (AnyWare)
Dec 14 - 17
9:00 AM - 4:30 PM CST
Austin / Online (AnyWare)
Jan 11 - 14
9:00 AM - 4:30 PM EST
New York / Online (AnyWare)
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.This course utilizes SQL Server/PowerBI.
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.
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.
This course helps you prepare for Exam DA-100: Analyzing Data with Microsoft Power BI.
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lessons
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lessons
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lessons
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lessons
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lessons
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lessons
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lessons
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
Lessons
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
Lessons
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lessons
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
Lessons
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
Lessons
Yes, this course is a requirement to be Microsoft Certified: Data Analyst Associate.
Yes, the Microsoft DA-100 Certification replaced the Microsoft 20778 certification, and the Learning Tree course 8574: Analyzing Data with Power BI Training (DA-100) replaced the Learning Tree course 8430: Analyzing Data with Power BI Training (20778)