Power BI Course

Module 1: Introduction to Power BI

1. Overview of Power BI

• • • What is Power BI?, Power BI Components: Power BI Desktop, Power BI Service, Power BI Mobile, Benefits and Use Cases of Power BI

2 Installing Power BI Desktop

• • • System Requirements, Downloading and Installing Power BI Desktop, Overview of Power BI Desktop Interface

3. Power BI Service Overview

• • • What is Power BI Service?, Navigating Power BI Service, Connecting Power BI Desktop with Power BI Service

Module 2: Data Loading and Transformation

1. Importing Data

• • • Connecting to Data Sources: Excel, CSV, SQL Server, Web, and other sources, Overview of Data Load Options (Direct Query vs. Import), Importing data with Power Query

• 2. Data Transformation with Power Query

• • • Cleaning and shaping data with Power Query Editor, Handling missing data, duplicates, and errors, Filtering and sorting data, Merging and appending queries, Creating custom columns using M language

3. Data Modeling Basics

• • • Introduction to Data Models: Relationships, Tables, and Keys, Understanding Cardinality and Relationship Types, Managing Relationships in Power BI, Building and Managing Data Models

Module 3: Visualizations and Reporting

1. Introduction to Visualizations

• • • Types of Visuals in Power BI: Charts, Tables, Cards, Maps, etc., Creating and Formatting Visuals, Understanding Visual Properties and Settings, Choosing the Right Visual for Your Data

2. Creating Basic Reports

• • • Building Your First Report: Combining multiple visuals, Customizing report layout and themes, Working with Slicers and Filters

3. Advanced Visualizations

• • • Using Conditional Formatting, Creating Custom Visuals, Drillthrough, Tooltip, and Drilldown features, Using Power BI Marketplace for additional visuals

4. Interactive Reports and Dashboards

• • • Creating Interactive Reports, Designing Dashboards in Power BI Service, Embedding Visuals and Reports

Module 4: DAX (Data Analysis Expressions)

1. Introduction to DAX

• • • What is DAX?, Basic DAX Syntax and Functions, Measures vs. Calculated Columns

2. Common DAX Functions

• • • SUM, AVERAGE, COUNT, COUNTROWS, MIN, MAX, etc. Logical Functions: IF, SWITCH, AND, OR, Date and Time Functions: YEAR, MONTH, DATEADD, DATEDIFF, Aggregation Functions: CALCULATE, FILTER, ALL, ALLEXCEPT

3. Advanced DAX Techniques

• • • Time Intelligence: YTD, QTD, MTD, etc., Creating Dynamic Measures and Calculations, Variables in DAX, Optimizing DAX Queries for Performance

Module 5: Power BI Service and Sharing Reports

1. Power BI Service Basics

• • • Navigating Power BI Service, Creating and publishing reports to Power BI Service, Creating and organizing workspaces

2. Data Refresh and Scheduling

• • • Setting up data refresh in Power BI Service, Managing data gateways for on-premises data sources, Scheduling refresh frequency

3. Sharing and Collaboration

• • • Sharing reports and dashboards with others, Working with Apps in Power BI Service, Creating and managing Power BI content packs, Power BI Collaboration features: Comments, Alerts, and Sharing

4. Power BI Mobile App

• • • Accessing Reports on Mobile, Using the Power BI mobile app for viewing dashboards, Interacting with reports on mobile devices

Module 6: Power BI Advanced Features

1. Power BI Embedded

• • • Introduction to Power BI Embedded, Embedding Power BI reports in applications, Authentication and Access Control

2. Power BI APIs and Automation

• • • Overview of Power BI REST API, Automating Power BI with Power Automate, Integrating Power BI with other tools (e.g., Azure, Excel, etc.)

3. Advanced Data Modeling

• • • Star Schema vs. Snowflake Schema in Power BI, Using Aggregation Tables for Performance Optimization, Managing Large Datasets

4. Power Query Advanced Features

• • • Writing Custom Functions in Power Query, Advanced Merge and Join Techniques, Using Parameters for Flexible Queries

Module 7: Power BI Security and Governance

1. Row-Level Security (RLS)

• • • Implementing Row-Level Security in Power BI, Configuring Roles and Rules, Testing and managing RLS in Power BI

2. Power BI Security Best Practices

• • • Securing Data in Power BI Reports and Dashboards, Managing Permissions and Access Control, Best practices for Power BI Governance

3. Auditing and Monitoring Power BI

• • • Power BI Audit Logs, Power BI Activity Reports, Monitoring Dataset and Report Usage

Module 8: Power BI and Power Query Advanced Integration

1. Power BI and Excel Integration

• • • Importing Excel files into Power BI, Using Power Query in Excel and Power BI, Power Pivot and Power BI

2. Project Guidelines

• • • Overview of the final project: Building a complete Power BI report, Best practices for report design.

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