Microsoft Power BI Data Analyst PL300 Overview

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 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 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 Visualisations
  • 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
  • Optimise 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 Specialised 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 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 visualisation concepts

Microsoft Power BI Data Analyst PL300 Course Overview

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.

What will you gain from taking this Microsoft training course?

  • 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.

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

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

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Why choose us

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. 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, 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.

What our customers are saying

Microsoft Power BI Data Analyst PL300 FAQs

Integrates seamlessly with existing applications, offers rich and personalised dashboards, helps publish reports, has no memory and speed constraints, extracts business intelligence rapidly and accurately, supports advanced data services, etc., are the benefits of Power BI.
There are no formal prerequisites to attend this Microsoft Power BI Data Analyst PL300 Training course. However, delegates should be proficient in using Power Query and writing expressions by using DAX.
This Microsoft Power BI Data Analyst PL300 Training course is ideal for anyone who wants to gain knowledge of Power BI. However, this will be more beneficial for Data Analysts.
Build visually rich and effective presentation to represent data in a meaningful way, work with data scientists to build insights based on the data on hand and theme of the study, better communicate with partners, work in an agile environment to deliver with a quick turnaround, etc., are the roles and responsibilities of Power BI Data Analysts.
Easy-to-use, multiple source connectors, most inexpensive solution, interactive visual dashboards, easily accessible from anywhere, data sharing and collaboration, natural language query, etc., are the reasons for using Power BI.
Skills in BI tools and BI systems, experience in data-specific roles, Microsoft bi stack, data analytics, software development skills, etc., are the skills for Power BI Developers.
During this Microsoft Power BI Data Analyst PL300 Training course, you will learn various essential topics such as identifying when a gateway is required, configuring sync slicers, using the analyse in Excel feature, etc. You will also learn to create semi-additive measures, promote or certify Power BI content, and many more concepts that will help you become fluent in analysing data with Power BI.
The training fees for Microsoft Power BI Data Analyst PL300 certification in Canada starts from CAD3895
The Knowledge Academy is the Leading global training provider for Microsoft Power BI Data Analyst PL300.
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