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Analyzing Data with Power BI

  • Intermediate
  • 18 and older
  • $1,595
  • Virtual Classroom, New York, NY
  • 20 hours & 15 minutes over 3 sessions
Analyzing Data with Power BI
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  • $1,595
  • *Virtual Classroom @ Virtual Classroom, New York, NY 00000
  • 20 hours & 15 minutes over 3 sessions
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Class Description

Description

What you'll learn in this big data training:

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.

Who Should Attend

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.

At course completion

After completing this course, students will be able to:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI

Prerequisites

This class requires very little prior knowledge beyond a basic familiarity with computers and navigation of the Windows operating system. However, this course is generally most beneficial to people that have a solid understanding of the business processes they will be supporting with Power BI and the data that those processes produce.

Course Outline

Module 1: Introduction
This module explores the landscape of the Power BI portfolio and describes several use cases for Power BI. The course then identifies and describes the role and responsibilities of a Data Analysts.
Lessons

  • The Power BI Portfolio
  • Identifying Tasks of the Data Analyst
  • Lab : Getting Started
  • Getting Started

Module 2: Getting and Profiling Data
This module explores identifying and connecting to different data sources. The student will also learn the basics on how to identify and optimize query performance issues. They will also learn how to perform proper data profiling in preparation for the subsequent step of cleaning and shaping the data prior to loading the data.
Lessons
  • Data Sources
  • Storage Modes
  • Query Performance
  • Data Profiling
  • Lab : Preparing Data in Power BI Desktop
  • Prepare Data

Module 3: Cleaning and Transforming Data
This module teaches the fundamental concepts of designing a data model for proper performance and scalability. It instills in the student a list of items to think about prior to building the model.
Lessons
  • User-Friendliness
  • Combining Queries
  • Data cleaning and transformation
  • Advanced capabilities
  • Configuring data loading and resolving errors
  • Lab : Loading Data in Power BI Desktop
  • Loading Data

Module 4: Designing a Data Model
This module teaches the fundamental concepts of designing a data model for proper performance and scalability. It instills in the student a list of items to think about prior to building the model.
Lessons
  • Data modeling basics
  • Measures and Dimensions
  • Model Performance
  • Lab : Data Modeling in Power BI Desktop
  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures

Module 5: Developing a Data Model
In this module the student will apply the steps learned in the previous module and build a data model while learning and implementing additional items to create the foundation of the model. The student will be introduced to initial security concepts and the Q&A feature in this module.
Lessons
  • Common data modeling techniques
  • Adding columns to support the data model
  • Row-level security
  • Q&A considerations
  • Lab : Advanced Data Modeling
  • Create a man-to-many relationship
  • Enforce row-level security

Module 6: Creating Model Calculations with DAX
This module first introduces the student to DAX and some of the critical functions and operators necessary to enhance a data model, including the concepts of Measures, and calculated columns and tables, and Time Intelligence.
Lessons
  • Introduction to DAX
  • Creating tables and columns
  • Measures
  • The CALCULATE expression
  • Time-Intelligence functions
  • Lab : Using DAX in Power BI - Part 1
  • Create Calculated tables
  • Create Measures
  • Lab : Using DAX in Power BI - Part 2
  • Work with Filter content
  • Work with Time-Intelligence
  • Publish the Power BI Desktop file

Module 7: Optimizing Model Performance
In this module the student is introduced to steps, processes, and concepts necessary to optimize a data model for enterprise-level performance.
Lessons
  • Fine-tune the data model
  • Cardinality
  • Identifying performance issues

Module 8: Creating Reports
This module introduces the student to the fundamental concepts and principles of building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality including slicing and filtering. This important topic of designing for accessibility is also covered.
Lessons
  • Selecting a visualization
  • Configuring visualizations
  • Formatting pages
  • Enhancing the report
  • Lab : Designing a report in Power BI Desktop - Part 1
  • Create a report
  • Sign in to the Power BI Service

Module 9: Enhancing Reports for Usability and Performance
This module helps the student think beyond the basics of report building and discusses topics for enhancing the report for usability and performance. The student will leave this module with knowing that a report is not something to just look at, but is a living canvas that tells a story, and should be designed as such.
Lessons
  • Bookmarks and navigation
  • Designing cohesive pages and interactions
  • Improving reports
  • Lab : Designing a report in Power BI Desktop - Part 2
  • Configure Sync Slicers
  • Configure Drill-through
  • Add Conditional Formatting
  • Add Bookmarks and Buttons
  • Explore the Report

Module 10: Creating Dashboards
In this module the student learns about dashboards and the many features and functionality they contain. The student learns how to take the report they built in the previous module and pin it to a dashboard, then enhance to dashboard for additional usability and insights.
Lessons
  • Dashboard design
  • Real-time dashboards
  • Dashboard enhancements
  • Lab : Creating a Power BI Dashboard
  • Create a Dashboard
  • Refresh the dataset
  • Review the dashboard

Module 11: Enhancing Reports and Applying Advanced Analytics
This module helps the student apply additional features to enhance the report for analytical insights in the data, equipping the student with the steps to use the report for actual data analysis. This module will also arm the student with additional steps and concepts to apply and perform advanced analytics on the report for even deeper and meaningful data insights.
Lessons
  • Navigation
  • Basic analysis
  • Grouping, binning, and clustering
  • Analysis over time
  • Advanced analysis
  • Lab : Data Analysis in Power BI Desktop
  • Create a report
  • Create a Scatter chart
  • Create a Forecast
  • Work with a Decomposition Tree
  • Work with Key Influencers

Module 12: Managing and Sharing Power BI Assets
In this module the student will learn the concepts of managing Power BI assets, including datasets and workspaces, as well as how to apply role-level security to a dataset. This module teaches the student how to create and manage workspaces, as well as how to share content, including reports and dashboard, and how to distribute an App.
Lessons
  • Dataset management
  • Enhancing datasets
  • Configure row-level security
  • Create and Manage workspaces
  • Enhancing datasets and reports in the workspace
  • Sharing and distributing content
  • Lab : Publishing and Sharing Power BI Content
  • Configure dataset security
  • Share a Dashboard
  • Publish an APP

Module 13: Working with Paginated Reports in Power BI
This module will teach the student about paginated reports. The student will learn what they are how they fit into the Power BI spectrum, and then look at how to build and publish a report.
Lessons
  • Introduction to Paginated Reports
  • Data sources and datasets
  • Adding visual elements
  • Enhancing and publishing reports
  • Lab : Creating a Paginated report
  • Getting Started
  • Develop the report

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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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ONLC Training Centers

ONLC Training Centers was founded in 1983 when Jim Palic and Andy Williamson left their positions as mainframe programmers with the Dupont Company to start one of the industry's first computer training companies.

Over thirty years and still growing, ONLC Training Centers is one of the the largest privately...

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