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Microsoft PL-300T00 - Microsoft Power BI Data Analyst

  • Length 3 days
  • Price  $2805 inc GST
Course overview
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Why study this course

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualising, and analysing 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. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Are you looking for a Power BI course aimed at end users? See our Power BI Fundamentals course.

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What you’ll learn

After completing this course, students will be able to:

  • Prepare the data

  • Model the data

  • Visualise and analyse the data

  • Manage and secure Power BI


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Microsoft at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft technical courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.


Who is the course for?

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 visualise data from the data platform technologies that exist on both in the cloud and on-premises.


Course subjects

Get started with Microsoft data analytics

  • Discover data analysis

  • Get started building with Power BI

  • Create interactive reports using Copilot for Power BI

Prepare data for analysis with Power BI

  • Get data in Power BI

  • Clean, transform, and load data in Power BI

Model data with Power BI

  • Describe Power BI Desktop models

  • Choose a Power BI model framework

  • Design a semantic model in Power BI

  • Write DAX formulas for Power BI Desktop models

  • Add measures to Power BI Desktop models

  • Add calculated tables and columns to Power BI Desktop models

  • Use DAX time intelligence functions in Power BI Desktop models

  • Optimise a model for performance in Power BI

  • Enforce Power BI model security

Build Power BI visuals and reports

  • Scope report design requirements

  • Design Power BI reports

  • Create visual calculations in Power BI Desktop

  • Configure Power BI report filters

  • Enhance Power BI report designs for the user experience

  • Perform analytics in Power BI

  • Create paginated reports

Manage workspaces and datasets in Power BI

  • Create and manage workspaces in Power BI

  • Manage semantic models in Power BI

  • Create dashboards in Power BI

  • Implement row-level security


Prerequisites

Successful Data Analysts start this role with experience of 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 visualisation concepts.

Recommended Course (or equivalent knowledge):


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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