Power BI – Datacrunch Academy

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This course offers a comprehensive guide to using Power BI for data analysis and visualization. It’s perfect for anyone looking to create impactful reports and dashboards.

Build professional-quality business intelligence reports from the ground up
Blend and transform raw data into beautiful interactive visuals & dashboards
Design and implement the same tools used by professional data analysts and data scientists
Showcase your skills with two full-scale course projects (with step-by-step solutions)
Explore powerful artificial intelligence tools and advanced data analysis & visualization techniques

Course Content

Overview of Power BI

What is Power BI?

00:00
Components of Power BI (Power BI Desktop, Power BI Service, Power BI Mobile)

00:00
Understanding the Power BI ecosystem

00:00

Getting Started with Power BI Desktop

Basic Concepts

Introduction to Data Modeling

Creating Calculated Columns and Measures

Advanced Data Modeling

Creating Basic Visualizations

Advanced Visualization Techniques

Designing Effective Dashboards

Introduction to Power Query

Advanced Data Transformations

Introduction to Power BI Service

Publishing and Sharing Reports

Collaboration and Data Security

Row-Level Security (RLS)

Performance Optimization

Integration with Other Tools

Real-World Case Studies

Hands-On Projects

Student Ratings & Reviews

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What will you learn in this course?

Course Content

Overview of Power BI

What is Power BI?

Components of Power BI (Power BI Desktop, Power BI Service, Power BI Mobile)

Understanding the Power BI ecosystem

Getting Started with Power BI Desktop

Installing Power BI Desktop

Power BI interface and navigation

Creating your first Power BI report

Basic Concepts

Data sources and connections

Importing data into Power BI

Basic data transformations using Power Query Editor

Introduction to Data Modeling

What is a data model?

Creating relationships between tables

Understanding primary keys and foreign keys

Creating Calculated Columns and Measures

Difference between calculated columns and measures

Basic DAX (Data Analysis Expressions) functions

Creating simple calculated columns and measures

Advanced Data Modeling

Creating and using calculated tables

Understanding and using more complex DAX functions

Working with time intelligence functions in DAX

Creating Basic Visualizations

Types of visualizations in Power BI

Creating bar charts, line charts, pie charts, etc.

Formatting visualizations

Advanced Visualization Techniques

Using slicers and filters

Creating drill-throughs and drill-downs

Using custom visuals from the Power BI marketplace

Designing Effective Dashboards

Best practices for dashboard design

Creating interactive and user-friendly dashboards

Publishing and sharing dashboards

Introduction to Power Query

Overview of Power Query Editor

Basic transformations (filtering, sorting, removing duplicates)

Combining data from multiple sources

Advanced Data Transformations

Pivoting and unpivoting data

Merging and appending queries

Using advanced editor for complex transformations

Introduction to Power BI Service

Overview of Power BI Service

Differences between Power BI Desktop and Power BI Service

Navigating the Power BI Service interface

Publishing and Sharing Reports

Publishing reports to Power BI Service

Creating and managing workspaces

Sharing reports and dashboards with others

Collaboration and Data Security

Setting up data refresh schedules

Managing permissions and security settings

Collaborating with teams using Power BI Service

Row-Level Security (RLS)

Introduction to RLS

Setting up RLS in Power BI Desktop

Testing and managing RLS in Power BI Service

Performance Optimization

Best practices for optimizing Power BI reports

Improving DAX query performance

Managing large datasets

Integration with Other Tools

Integrating Power BI with Excel

Using Power BI with other Microsoft services (e.g., Azure, SharePoint)

Embedding Power BI reports in other applications

Real-World Case Studies

Analysis of successful Power BI implementations

Lessons learned and best practices

Hands-On Projects

Building a complete Power BI report from scratch

Applying learned skills to real-world data scenarios

Student Ratings & Reviews

SQL

Project Management