Course information

Microsoft Power BI Data Analyst PL300 Course Outline

Module 1: Discover Data Analysis

  • Introduction
  • Overview of Data Analysis
  • Roles in Data
  • Tasks of a Data Analyst

Module 2: Get Started Building with Power BI

  • Introduction
  • Use Power BI
  • Building Blocks of Power BI
  • Tour and Use the Power BI Service

Module 3: Get Data in Power BI

  • Introduction
  • Get Data from Files
  • Get Data from Relational Data Sources
  • Create Dynamic Reports with Parameters
  • Get Data from a NoSQL Database
  • Get Data from Online Services
  • Select a Storage Mode
  • Get Data from Azure Analysis Services
  • Fix Performance Issues
  • Resolve Data Import Errors
  • Exercise - Prepare Data in Power BI Desktop

Module 4: Clean, Transform and Load Data in Power BI

  • Introduction
  • Shape the Initial Data
  • Simplify the Data Structure
  • Evaluate and Change Column Data Types
  • Combine Multiple Tables into a Single Table
  • Profile Data in Power BI
  • Use Advanced Editor to Modify M Code
  • Exercise - Load Data in Power BI Desktop

Module 5: Design a Data Model in Power BI

  • Introduction
  • Work with Tables
  • Create a Date Table
  • Work with Dimensions
  • Define Data Granularity
  • Work with Relationships and Cardinality
  • Resolve Modelling Challenges
  • Exercise - Model Data in Power BI Desktop

Module 6: Add Measures to Power BI Desktop Models

  • Introduction
  • Create Simple Measures
  • Create Compound Measures
  • Create Quick Measures
  • Compare Calculated Columns with Measures
  • Exercise - Create DAX Calculations in Power BI Desktop

Module 7: Add Calculated Tables and Columns to Power BI Desktop Models

  • Introduction
  • Create Calculated Columns
  • Learn About Row Context
  • Choose a Technique to Add a Column

Module 8: Use DAX Time Intelligence Functions in Power BI Desktop Models

  • Introduction
  • Use DAX Time Intelligence Functions
  • Additional Time Intelligence Calculations
  • Exercise - Create Advanced DAX Calculations in Power BI Desktop

Module 9: Optimise a Model for Performance in Power BI

  • Introduction to Performance Optimization
  • Review Performance of Measures, Relationships, and Visuals
  • Use Variables to Improve Performance and Troubleshooting
  • Reduce Cardinality
  • Optimize Directquery Models with Table Level Storage
  • Create and Manage Aggregations

Module 10: Design Power BI Reports

  • Introduction
  • Design the Analytical Report Layout
  • Design Visually Appealing Reports
  • Report Objects
  • Select Report Visuals
  • Select Report Visuals to Suit the Report Layout
  • Format and Configure Visualizations
  • Work with Key Performance Indicators
  • Exercise - Design a Report in Power BI Desktop

Module 11: Configure Power BI Report Filters

  • Introduction to Designing Reports for Filtering
  • Apply Filters to the Report Structure
  • Apply Filters with Slicers
  • Design Reports with Advanced Filtering Techniques
  • Consumption-Time Filtering
  • Select Report Filter Techniques
  • Case Study - Configure Report Filters Based on Feedback

Module 12: Enhance Power BI Report Designs for the User Experience

  • Design Reports to Show Details
  • Design Reports to Highlight Values
  • Design Reports that Behave Like Apps
  • Work with Bookmarks
  • Design Reports for Navigation
  • Work with Visual Headers
  • Design Reports with Built-In Assistance
  • Tune Report Performance
  • Optimize Reports for Mobile Use
  • Exercise - Enhance Power BI Reports

Module 13: Perform Analytics in Power BI

  • Introduction to Analytics
  • Explore Statistical Summary
  • Identify Outliers with Power BI Visuals
  • Group and Bin Data for Analysis
  • Apply Clustering Techniques
  • Conduct Time Series Analysis
  • Use the Analyse Feature
  • Create What-If Parameters
  • Use Specialized Visuals
  • Exercise - Perform Advanced Analytics with AI Visuals

Module 14: Create and Manage Workspaces in Power BI

  • Introduction
  • Distribute a Report or Dashboard
  • Monitor Usage and Performance
  • Recommend a Development Life Cycle Strategy
  • Troubleshoot Data by Viewing Its Lineage
  • Configure Data Protection

Module 15: Manage Datasets in Power BI

  • Introduction
  • Use a Power BI Gateway to Connect to On-Premises Data Sources
  • Configure a Dataset Scheduled Refresh
  • Configure Incremental Refresh Settings
  • Manage and Promote Datasets
  • Troubleshoot Service Connectivity
  • Boost Performance with Query Caching

Module 16: Create Dashboards in Power BI

  • Introduction to Dashboards
  • Configure Data Alerts
  • Explore Data by Asking Questions
  • Review Quick Insights
  • Add a Dashboard Theme
  • Pin a Live Report Page to a Dashboard
  • Configure a Real-Time Dashboard
  • Configure Data Classification
  • Set Mobile View
  • Exercise - Create A Power BI Dashboard

Module 17: Implement Row-Level Security

  • Introduction
  • Configure Row-Level Security with the Static Method
  • Configure Row-Level Security with the Dynamic Method
  • Exercise - Enforce Row-Level Security in Power BI

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Who should attend this Microsoft Power BI Data Analyst PL300 Training Course?

This Microsoft Power BI Data Analyst PL300 Course in Detroit is designed for professionals who work with Data Analysis, Business Intelligence, and those responsible for creating insightful reports and dashboards for decision-making. This training course is especially beneficial for these professionals:

  • Data Analysts
  • Business Analysts
  • Data Engineers
  • Business Intelligence Professionals
  • IT Professionals
  • Managers
  • Team Leads

Prerequisites of the Microsoft Power BI Data Analyst PL300 Training Course

There are no formal prerequisites for this Microsoft Power BI Data Analyst PL300 Course. However, experience in working with data in the cloud can be beneficial for the delegates.

  • 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

Microsoft Power BI Data Analyst PL300 Course Overview

The Microsoft Power BI Data Analyst PL300 Course in Detroit offers a comprehensive exploration of Power BI, Microsoft's business analytics tool that empowers organizations to visualize and analyze their data effectively. The ability to derive insights from data is paramount in today's data-driven business landscape.

Mastering Microsoft Power BI is essential for professionals in business intelligence, data analysis, and reporting. As organizations grapple with ever-growing volumes of data, the demand for skilled Power BI analysts is on the rise. This course in Detroit caters to those aiming to harness the capabilities of Power BI to create compelling visualizations, conduct data analysis, and generate insightful reports.

The Knowledge Academy's 3-day training on Microsoft Power BI Data Analyst PL300 in Detroit equips delegates with hands-on experience utilizing Power BI for data analysis and visualization. Delegates will learn to create interactive dashboards, connect to various data sources, and execute complex data transformations.

Course Objectives

  • To understand the fundamental concepts of Microsoft Power BI for data analysis
  • To acquire skills in connecting Power BI to various data sources
  • To learn the essentials of creating interactive dashboards and reports in Power BI
  • To gain proficiency in transforming and shaping data using Power BI tools
  • To explore advanced features of Power BI for in-depth data analysis
  • To acquire practical knowledge in sharing and collaborating on Power BI reports

Upon completing this course in Detroit, delegates will have the expertise to navigate Microsoft Power BI confidently, transforming raw data into actionable insights.

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What’s included in this Microsoft Power BI Data Analyst PL300 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Microsoft Power BI Data Analyst PL300
  • Digital Delegate Pack

Why choose us

Our Detroit 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.

Detroit is the largest city in the state of Michigan, United States. It is located on the United States-Canada border and has a population of around 680,000 people. Denver’s growth is mostly to be credited to the expansion of the automobile industry as they supplied a lot of automotive support for the Allied powers during World War II. Detroit Public Schools govern 66,000 students and it is the largest district in Michigan. Detroit also has a population of charter school students at a rate of about 56,000 pupils. There are many private schools in Detroit including 110 Roman Catholic grade schools which are operated by the Archdiocese of Detroit. Detroit is home to many further education establishments including Wayne State University, University of Detroit Mercy, University of Detroit Mercy School of Law and Sacred Heart Major Seminary. Wayne State University is a national research university which focuses on medical and law majors but offers hundreds of other different academic programs. The University of Detroit Mercy is a Roman Catholic co-educational facility which is affiliated with Sisters of Mercy and Society of Jesus. It provides a wide variety of different academic degrees in a range of different subjects including dentistry, law, architecture and nursing. Sacred Heart Major Seminary is affiliated with the Pontifical University of Saint Thomas Aquinas, Angelicum in Rome. It was founded in 1919 and provides students with pontifical degrees and civil graduate or undergraduate degrees. Students are welcome to be clerical or lay. The University of Michigan was originally established in Detroit in 1817 but was then moved to Ann Arbor in 1837. Other further education facilities include the College for Creative Studies, Lewis College of Business and Marygrove College. The Michigan State University College of Osteopathic Medicine based in East Lansing also has a satellite campus based in the Detroit Medical Center. 

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Address

Detroit, Michigan

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in Detroit. 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 Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in Detroit, 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 Detroit starts from $2895
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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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