Microsoft Power BI Data Analyst PL300 Overview

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: Optimize 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 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 Visualizations
  • 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
  • Optimize 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 Analyze Feature
  • Create What-If Parameters
  • Use Specialized 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. Recommended knowledge includes core data concepts, working with relational and non-relational Cloud Data, and Data Analysis and visualisation concepts.

Microsoft Power BI Data Analyst PL300 Course Overview

The Microsoft Power BI Data Analyst PL300 Course is designed to equip participants 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 Power BI 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 training provides delegates with hands-on experience in using Power BI to analyse data and create compelling visualisations. Through practical exercises and expert instruction, participants 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 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

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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.

Experience the most sought-after learning style with The Knowledge Academy's Microsoft Power BI Data Analyst PL300. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Microsoft Power BI Data Analyst PL300 sessions.

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Small class sizes

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Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Microsoft Power BI Data Analyst PL300 at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our Microsoft Power BI Data Analyst PL300 offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

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 the United Kingdom starts from £2495
The Knowledge Academy is the Leading global training provider for Microsoft Power BI Data Analyst PL300.
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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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