Microsoft Power BI Data Analyst PL300 - United States

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: Create Interactive Reports using Copilot for Power BI

• Prepare your Data for Use with Copilot for Power BI
• Use Copilot for Power BI to Model your Data
• Create Reports with Copilot for Power BI
• Create Summaries with Copilot for Power BI

Module 4: 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 5: 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 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: Describe Power BI Desktop Models

• Star Schema Design
• Analytic Queries
• Configure Report Visuals

Module 8: 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 9: 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 10: 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 11: 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 12: Modify DAX Filter Context in Power BI Desktop Models

• Modify Filter Context
• Use Filter Modifier Functions
• Examine Filter Context
• Perform Context Transition

Module 13: 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 14: 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 15: Scope Report Design Requirements

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

Module 16: 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 17: Create visual calculations in Power BI Desktop

• Understand Visual Calculations
• Create Visual Calculations
• Use Parameters in Visual Calculations
• Exercise - Create Visual Calculations in Power BI Desktop

Module 18: 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 19: 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 20: 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 21: 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 22: 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 23: 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 24: 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

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

This Microsoft Power BI Data Analyst PL300 Course in the United States 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 the United States 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 the United States 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 the United States 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 the United States, delegates will have the expertise to navigate Microsoft Power BI confidently, transforming raw data into actionable insights.

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

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.