Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in Crewe

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: Introduction to End-To-End Analytics Using Microsoft Fabric

• Introduction
• Explore End-To-End Analytics with Microsoft Fabric
• Explore Data Teams and Microsoft Fabric
• Enable and Use Microsoft Fabric

Module 4: Get Started with Copilot in Power BI

• Introduction
• Use Copilot in Power BI to Prepare and Model Data
• Create Reports with Copilot in Power BI
• Get Your Data Ready for AI Usage in Power BI

Module 5: 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 - Get Data in Power BI

Module 6: 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 7: Choose A Power BI Model Framework

• Introduction
• 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 8: Configure A Semantic Model

• Introduction
• Configure Relationships
• Configure Tables
• Configure Columns
• Configure Hierarchies
• Configure Measures
• Configure Parameters
• Exercise - Configure A Semantic Model in Power BI Desktop

Module 9: Write DAX Formulas for Semantic Models

• Introduction
• Understand DAX Calculation Types
• Write DAX Formulas
• DAX Data Types
• Work with DAX Functions
• Use DAX Operators
• Use DAX Variables

Module 10: Create DAX Calculations in Semantic Models

• Introduction
• Create Calculated Tables
• Create Calculated Columns
• Understand Implicit Measures
• Create Explicit Measures
• Use Iterator Functions
• Exercise - Create DAX Calculations

Module 11: Modify DAX Filter Context in Semantic Models

• Introduction
• Understand Filter Context
• Modify Filter Context
• Use Filter Modifier Functions
• Examine Filter Context
• Perform Context Transition
• Exercise - Modify DAX Filter Context

Module 12: Use DAX Time Intelligence Functions in Semantic Models

• Introduction
• Use DAX Time Intelligence Functions
• Additional Time Intelligence Calculations
• Exercise - Use Time Intelligence Functions

Module 13: Create Visual Calculations in Power BI Desktop

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

Module 14: Optimize A Model for Performance in Power BI

• Introduction to Performance Optimization
• Describe Semantic Model Optimization Techniques
• 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

• Introduction
• Identify the Audience
• Determine Report Types
• Define User Interface Requirements
• Define User Experience Requirements
• Explore Designs in A Power BI Report

Module 16: Design Power BI Reports

• Introduction
• Design the Analytical Report Layout
• Design Visually Appealing Reports
• Use Report Objects
• Select Report Visuals
• Apply Filters and Slicers to Reports
• Understand Filtering Techniques and Considerations
• Case Study - Configure Report Filters Based on Feedback
• Exercise - Design Power BI Reports

Module 17: Enhance Power BI Report Designs for The User Experience

• Introduction
• 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 Analytics in Power BI

Module 19: Manage Workspaces in Power BI Service

• Introduction
• Understand Power BI Service
• Understand Workspaces
• Publish to Power BI Service

Module 20: Manage Semantic Models in Power BI

• Introduction
• 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
• Boost Performance with Query Caching (Fabric or Premium Capacity)
• Use Lineage and Impact Analysis

Module 21: Choose A Content Distribution Method

• Introduction
• Understand Sharing Models
• Create A Power BI App
• Apply Data Governance Principles
• Track Report or Dashboard Usage

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
• Set Mobile View
• Exercise - Create Dashboards in Power BI

Module 23: Secure Data Access in Power BI

• Introduction
• Configure Row-Level Security with The Static Method
• Configure Row-Level Security with The Dynamic Method
• Use Single Sign-On (SSO) For DirectQuery Sources
• Restrict Access to Power BI Model Objects
• Exercise - Enforce Row-Level Security in Power BI

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.

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