Course information

Microsoft Power BI Data Analyst PL300 Course Outline

Module 1: Discover Data Analysis

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

Module 2: Get Started Building with Power BI

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

Module 3: Get Data in Power BI

  • 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

  • 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: Describe Power BI Desktop Models

  • Star Schema Design
  • Analytic Queries
  • Configure Report Visuals

Module 6: Choose a Power BI Model Framework

  • Describe Power BI Model Fundamentals
  • Determine When to Develop an Import Model
  • Determine When to Develop a Directquery Model
  • Determine When to Develop a Composite Model
  • Choose a Model Framework

Module 7: Design a Semantic Model in Power BI

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

Module 8: Write Dax Formulas for Power BI Desktop Models

  • Write Dax Formulas
  • Dax Data Types
  • Work with Dax Functions
  • Use Dax Operators
  • Use Dax Variables

Module 9: Add Measures to Power BI Desktop Models

  • Create Simple Measures
  • Create Compound Measures
  • Create Quick Measures
  • Compare Calculated Columns with Measures
  • Check Your Knowledge
  • Exercise - Create Dax Calculations in Power BI Desktop

Module 10: Add Calculated Tables and Columns to Power BI Desktop Models

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

Module 11: Use Dax Time Intelligence Functions in Power BI Desktop Models

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

Module 12: Optimise a Model for Performance in Power Bi

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

Module 13: Enforce Power BI Model Security

  • Restrict Access to Power BI Model Data
  • Restrict Access to Power BI Model Objects
  • Apply Good Modeling Practices
  • Exercise: Enforce Model Security

Module 14: Scope Report Design Requirements

  • Identify the Audience
  • Determine Report Types
  • Define User Interface Requirements
  • Define User Experience Requirements
  • Explore Report Designs

Module 15: Design Power BI Reports

  • 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 Visualisations
  • Work with Key Performance Indicators
  • Exercise - Design a Report in Power Bi Desktop

Module 16: 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 17: 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
  • Optimise Reports for Mobile Use
  • Exercise - Enhance Power BI Reports

Module 18: 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 Specialised Visuals
  • Exercise - Perform Advanced Analytics with Ai Visuals

Module 19: Create Paginated Reports

  • Introduction to Paginated Reports
  • Get Data
  • Create a Paginated Report
  • Work with Charts on the Report
  • Publish the Report

Module 20: Create and Manage Workspaces in Power BI

  • 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 21: Manage Semantic Models in Power BI

  • Use a Power BI Gateway to Connect to On-Premises Data Sources
  • Configure a Semantic Model Scheduled Refresh
  • Configure Incremental Refresh Settings
  • Manage and Promote Semantic Models
  • Troubleshoot Service Connectivity
  • Boost Performance with Query Caching (Premium)

Module 22: 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
  • Set Mobile View
  • Exercise - Create a Power BI Dashboard

Module 23: Implement Row-Level Security

  • 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 Course?

This Microsoft Power BI Data Analyst PL300 Training Course 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 Course

There are no formal prerequisites for the Microsoft Power BI Data Analyst PL300 Training Course. However, a basic understanding of cloud data experience can be beneficial.

Microsoft Power BI Data Analyst PL300 Course Overview

The Microsoft Power BI Data Analyst PL300 Course is designed to equip delegates with the skills required to effectively analyse data and create powerful visual reports. In today's data-driven world, the ability to interpret and present data clearly is crucial for informed decision-making. This course offers comprehensive training on Power BI, Microsoft's leading business analytics tool.

Proficiency in Microsoft Power BI Data Analyst PL300 is essential for Data Analysts, Business Intelligence Professionals, and any role involving data interpretation. Mastering this tool allows professionals to transform raw data into meaningful insights, aiding strategic decisions. Those aiming to enhance their data visualisation capabilities and report generation skills will benefit greatly from this course.

This 3-day Microsoft Power BI Data Analyst PL300 training by The Knowledge Academy provides delegates with hands-on experience in using Power BI to analyse data and create compelling visualisations. Through practical exercises and expert instruction, Delegates will learn to navigate the Power BI interface, connect to data sources, and design interactive dashboards, ensuring they can apply these skills immediately in their workplace.

Course Objectives

  • To understand the Power BI service and its components
  • To connect to various data sources and import data
  • To clean and transform data for analysis
  • To create and customise data visualisations
  • To design interactive reports and dashboards
  • To share and publish reports within an organisation

After completing the Microsoft Power BI Data Analyst PL300 Course, delegates will possess a robust understanding of Power BI. They will be able to create and share insightful reports, enabling their organisations to make data-driven decisions more effectively.

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

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

Why choose us

Our Mississauga 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.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Address

Robert Speck 2
2 Robert Speck Parkway
Suite 750
Mississauga
Ontario
L4Z 1H8

T: +1 6474932992

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 Mississauga. 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 Mississauga, 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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Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in Mississauga FAQs

A Microsoft Power BI Data Analyst PL300 professional specialises in using Power BI to model, visualise, and analyse data. They create actionable insights, enabling organisations to make informed decisions by transforming raw data into interactive reports and dashboards.
Earning the Microsoft Power BI Data Analyst PL300 Certification enhances your ability to transform raw data into meaningful insights. It boosts your data visualisation proficiency, improves career opportunities, and validates your expertise in business analytics.
This Microsoft Power BI Data Analyst PL300 Course is ideal for Data Professionals, Business Analysts, and IT Professionals who want to enhance their data analysis, visualisation, and reporting skills using Microsoft Power BI.
In this Microsoft Power BI Data Analyst PL300 Certification, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
There are no formal prerequisites for the Microsoft Power BI Data Analyst PL300 Training Course. However, a basic understanding of cloud data experience can be beneficial.
The Knowledge Academy provides flexible self-paced training for Microsoft Power BI Data Analyst PL300 Course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
The Microsoft Power BI Data Analyst PL300 Training is designed to be challenging yet accessible, requiring a solid understanding of data analysis concepts. It’s suitable for those with some experience in data analysis, aiming to advance their skills.
Learning Microsoft Power BI Data Analyst PL300 equips you with essential skills to analyse and visualise data effectively. It enhances your ability to create data-driven insights, making you an asset in any data-focused role.
Yes, we provide corporate training for Microsoft Power BI Data Analyst PL300 Training, tailored to fit your organisation’s requirements.
With a Microsoft Power BI Data Analyst PL300 Course, you can expect roles like Data Analyst, Business Intelligence Analyst, and Reporting Analyst, where you'll create data models, design reports, and provide insights to drive business decisions.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after Microsoft Power BI Data Analyst PL300 Course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
This Microsoft Power BI Data Analyst PL300 Training takes 3-days to complete during which delegates participate in intensive learning sessions that cover various course topics.
The training fees for Microsoft Power BI Data Analyst PL300in Mississauga starts from CAD3895
The Knowledge Academy is the Leading global training provider for Microsoft Power BI Data Analyst PL300.
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Resources are included for a comprehensive learning experience.

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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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