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Microsoft Power BI Data Analyst

Learn the methods and best practices for modeling, visualizing, and analyzing data with Power BI in this comprehensive course. Discover how to access and process data from various sources, implement security standards, and manage and deploy reports and dashboards. Enhance your skills as a data professional or business intelligence professional with this training.

  • Intermediate
  • 18 and older
  • $1,795
  • 1320 Tower Rd, Chicago, IL
  • 20 hours & 15 minutes over 3 sessions
Microsoft Power BI Data Analyst

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  • $1,795
  • 20 hours & 15 minutes over 3 sessions
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  • Wed, May 15 at 9:00am - 3:45pm
  • Thu, May 16 at 9:00am - 3:45pm
  • Fri, May 17 at 9:00am - 3:45pm
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Class Description

Description

What you'll learn in this power bi class:

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 Profile

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 both in the cloud and on-premises.

Prerequisites

Successful Data Analysts start this role with experience working with data in the cloud.

Specifically:

  • Understanding core data concepts.
  • Knowledge of working with relational data in the cloud.
  • Knowledge of working with non-relational data in the cloud.
  • Knowledge of data analysis and visualization concepts.

You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.

Course Outline

Module 1: Get Started with Microsoft Data Analytics

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

Data Analytics and Microsoft

Getting Started with Power BI

Lab : Getting Started in Power BI Desktop

Getting Started

Module 2: Prepare Data in Power BI

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

Get data from various data sources

Lab : Preparing Data in Power BI Desktop

Prepare Data

Module 3: Clean, Transform, and Load Data in Power BI

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

Data shaping

Enhance the data structure

Data Profiling

Lab : Transforming and Loading Data in Power BI Desktop

Loading Data

Module 4: Design a Data Model in Power BI

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

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 Model Calculations using DAX in Power BI

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

Introduction to DAX

DAX context

Advanced DAX

Lab : Advanced DAX in Power BI Desktop

Use the CALCULATE() function to manipulate filter context

Use Time Intelligence functions

Lab : Introduction to DAX in Power BI Desktop

Create calculated tables

Create calculated columns

Create measures

Module 6: Optimize Model Performance in Power BI

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

Optimze the model for performance

Optimize DirectQuery Models

Create and manage Aggregations

Module 7: Create Reports in Power BI

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

Design a report

Enhance the report

Lab : Designing a report in Power BI Desktop

Create a live connection in Power BI Desktop

Design a report

Configure visual fields and format properties

Lab : Enhancing reports with interaction and formatting in Power BI Desktop

Create and configure Sync Slicers

Create a drillthrough page

Apply conditional formatting

Create and use Bookmarks

Module 8: Create Dashboards in Power BI

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

Create a Dashboard

Real-time Dashboards

Enhance a Dashboard

Lab : Creating a Dashboard in Power BI Service

Create a Dashboard

Pin visuals to a Dashboard

Configure a Dashboard tile alert

Use Q&A to create a dashboard tile

Module 9: Enhance reports for usability and storytelling in Power BI

This module will teach you about paginated reports, including what they are and how they fit into Power BI. You will then learn how to build and publish a report.

Lessons

Paginated report overview

Create Paginated reports

Lab : Creating a Paginated report in Power BI Desktop

Use Power BI Report Builder

Design a multi-page report layout

Define a data source

Define a dataset

Create a report parameter

Export a report to PDF

Module 10: Perform Advanced Analytics in Power BI

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

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: Manage Datasets in Power BI

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

Parameters

Datasets

Security in Power BI

Module 12: Create and Manage Workspaces in Power BI

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

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

Refund Policy

Cancellation / Reschedule by Student

Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.

Please note the following policies:

  • If requested 16 or more calendar days before the class
    • Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
    • Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
  • If requested 15 calendar days or less before the class
    • Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.

Substitutions

  • If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.

Make-up Policy

Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.

  • Make-Up class registrations are subject to availability and are not entitled to refund.
  • Students may not reschedule a Make-up class registration.
  • Any no shows or cancellations forfeit their one Make-up opportunity.

Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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