Course information

Analyzing Data with Power BI DA100 Course Outline

Module 1: Introduction to Microsoft Data Analytics

  • Data Analytics and Microsoft
  • What is Power BI?

Lab: Get Started

Module 2: Understand How to Prepare Data in Power BI?

  • Acquire Data from Different Data Sources
  • How to Optimize Performance?
  • Resolving Data Errors

Lab: Preparation of Data in Power BI Desktop

Module 3: Cleaning, Transforming, and Loading Data in Power BI

  • About Data Shaping
  • Understand How to Enhance the Data Structure?
  • What is Data Profiling?

Lab: How to Transform and Load Data?

Module 4: How to Design a Data Model in Power BI?

  • Introduction to Data Modeling
  • Understand Working with Tables
  • What are Dimensions and Hierarchies?

Lab: Data Modelling in Power BI Desktop

  • How to Create Model Relationships?
  • Configure Tables
  • Model Interface Review
  • Make Quick Measures

Lab: Advanced Data Modelling in Power BI Desktop

  • Form Many-to-Many Relationships
  • Row-Level Security

Module 5: Build Measures with DAX in Power BI

  • What is DAX?
  • Data Analysis Expressions (DAX) Context
  • Understand Advanced DAX

Lab: Fundamentals of DAX in Power BI Desktop

  • Form Calculated Tables
  • Make Calculated Columns
  • Create Measures

Lab: Introduction to Advanced DAX in Power BI Desktop

  • Usage of CALCULATE () Function to Manipulate Filter Context
  • Time Intelligence Functions

Module 6: How to Optimize the Model Performance?

  • Optimize DirectQuery Models
  • Understand Creating and Managing Aggregations

Module 7: Overview of Creating Reports

  • Designing a Report
  • Understand How to Enhance the Report?

Lab: Designing a Report in Power BI

  • Make a Live Connection in Power BI Desktop
  • How to Design a Report?
  • Configure Visual Fields ADN Format Properties

Lab: Enhance Power BI Reports with Interaction and Formatting

  • Creating and Configuring Sync Slicers
  • Creating Drill Through Page
  • Apply Conditional Formatting
  • Bookmarks Creation and Usage

Module 8: How to Create Dashboards?

  • Creating a Dashboard
  • About Real-time Dashboards
  • Develop a Dashboard

Lab: Develop 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
  • How to Create Paginated Reports?

Lab: Create a Paginated Report

  • Usage of Power BI Report Builder
  • Designing the Multi-Page Report Layout
  • Data Source and Dataset
  • Creating a Report Parameter
  • Exporting a Report to PDF

Module 10: Implement Advanced Analytics

  • Understand Advanced Analytics
  • Data Insights over AI Visuals

Lab: Data Analyzing in Power BI Desktop

  • How to Create Animated Scatter Charts?
  • Use the Visual to Forecast Values
  • Work with
  • Decomposition Tree Visual
  • Key Influencers Visual

Module 11: Create and Manage Workspaces

  • How to Create a Workspace?
  • Share and Manage the Assets

Lab: Publish and Share Power BI Content

  • Map Security Principals to Dataset Roles
  • Sharing Dashboard
  • Publishing an App

Module 12: Manage Datasets in Power BI

  • Understand Parameters
  • What are Datasets?

Module 13: Row-Level Security

  • Power BI Security

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Who should attend this Analyzing Data with Power BI DA100 Course?

The Analyzing Data with Power BI DA100 Course in Seattle is aimed at harnessing the robust capabilities of Power BI for data visualizations. This course can be helpful for various professionals, including:

  • System Administrators
  • Network Administrators
  • IT Specialists
  • IT Managers
  • Technical Support Specialists
  • IT Consultants
  • Security Administrators
  • Infrastructure Engineers

Prerequisites of the Windows Analyzing Data with Power BI DA100 Course

The prerequisites required for the Analyzing Data with Power BI DA100 Course are:

  • Basic understanding of data analysis and business intelligence concepts
  • Familiarity with Microsoft Power BI and its functionalities
  • Understanding of data schemas, DAX calculations, and visualization techniques
  • Prior working experience in Power BI is advantageous but not mandatory

Important notes about this course: This course and exam has been retired by Microsoft. This course has been replaced with Microsoft Power BI Data Analyst PL300

Analyzing Data with Power BI DA100 Course Overview

Introduction to the Analyzing Data with Power BI DA100 Course in Seattle highlights its significance in data analytics. As organizations increasingly rely on data-driven decision-making, Power BI has become a pivotal tool for transforming raw data into actionable insights. This course equips participants with the skills needed to navigate and harness the power of Power BI, making it a crucial asset in today's data-centric landscape.

Mastering the Analyzing Data with Power BI DA100 Course in Seattle benefits individuals seeking to enhance their data analysis capabilities. Data Analysts, Business Intelligence Professionals, and decision-makers will find this course indispensable for interpreting complex datasets, creating compelling visualizations, and deriving meaningful conclusions.

The Knowledge Academy's 4-day training on Analyzing Data with Power BI DA100 in Seattle is a tailored learning experience designed to accelerate delegates' mastery of Power BI. Delegates will delve into the intricacies of Power BI through immersive exercises and real-world case studies, gaining practical proficiency in data modeling, dashboard creation, and report generation.

Course Objectives

  • To understand the fundamentals of Power BI and its role in data analysis
  • To learn data modeling techniques for optimizing data structure in Power BI
  • To acquire proficiency in creating visually compelling and informative reports
  • To explore advanced Power BI features for in-depth data analysis
  • To understand best practices for data visualization and interpretation

Upon completing this course in Seattle, delegates will emerge with a heightened ability to analyze data strategically using Power BI. This Microsoft SQL Server Training empowers them to make informed decisions, create impactful visualizations, and drive organizational success through data-driven insights.

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What’s included in this Analyzing Data with Power BI DA100 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Analyzing Data with Power BI DA100 Certificate
  • Digital Delegate Pack

Why choose us

Our Seattle venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Seattle is a West Coast city in America. Seattle has around 667,000 residents and is the largest city in the state of Washington and in the Pacific Northwest region of North America. The metropolitan area of Seattle has around 3.6 million residents. Seattle had a notable music scene between the 20’s and 50’s producing early careers for Ray Charles and Quincy Jones. Seattle is home to the University of Washington which was established in 1861. The University of Washington is a public research university and features one of the most notable medical schools in the world. The University of Washington has around 45,000 students and offers 140 departments with studies in courses such as; Arts and Science, Dentistry, Education, Engineering, Law, Medicine, Nursing, Pharmacy and Public Health. The University has a large sports department, and offers scholarships and opportunities in sports such as; Football, Soccer, Basketball, Softball and Rowing which is a long standing traditional at the University. The University of Washington Educational Outreach is another institute located in Seattle. The University was established in 1912. The University offers various different programs, classes and workshops in studies such as communication, English, Humanities, Social Sciences, Health Informatics and Health Information Management. Seattle is also the home to a number of smaller universities including Seattle University is a catholic university in Seattle that was established in 1891. Seattle University has over 7,500 students and offers courses in Business & Economics, Arts & Sciences, Humanities, Teaching, Nursing, Engineering, Theology and Law. Seattle Pacific University is another University situated in Seattle. This University was established in 1913 and is a Christian University. The Seattle Pacific University has around 4,000 students in attendance. The University offers courses in Fine Arts, Humanities, Science, Engineering, Social & Behavioural Sciences, Business, Education, Health, Psychology and Theology. Some notable alumni attended Seattle Pacific University like David T. Wong who was the co-inventor of Prozac and Dan Price who is the CEO of Gravity Payments. 

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Address

Silver Cloud Inn Lake Union
1150 Fairview Ave North
Seattle
Washington
98109

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Analyzing Data With Power BI DA100 | Power BI Training in Seattle. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Analyzing Data With Power BI DA100 | Power BI Training in Seattle, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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The training fees for certification in Seattle starts from $8995
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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