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Power BI Course Details

2 Weeks

Course Information

This course is designed to provide college students with a comprehensive introduction to Power BI, a powerful business analytics tool developed by Microsoft. Power BI allows users to visualize and analyze data to make informed business decisions.

Over the course of two weeks, students will learn the fundamentals of data visualization, data transformation, and creating interactive reports and dashboards using Power BI.

What will you Learn ?

Understand the fundamentals of data visualization and its importance in decision-making. Create data connections and import data into Power BI. Transform and clean data using Power Query Editor. Design interactive and visually appealing reports and dashboards. Share and collaborate on Power BI Projects. Gain practical experience by working on sample data analysis projects.

My SQL

API

DAX

Charts

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Curriculum

Introduction to Power BI and its ecosystem
The Evolution of Business Intelligence and Power BI’s Role
Understanding the Power BI Product Family: Desktop, Service & Mobile
Power BI vs Traditional Reporting: Advantages & Difference
Key Power BI Concepts: Datasets, Reports & Dashboards
Data driven decision making and Power BI’s impact
Exploring real world use cases and success stories
Power BI Community & resources for learning
Power BI’s Licensing models and pricing
The future of Power BI: Trends & Innovations
Installing and setting up Power BI Desktop
Downloading and Installing Power BI Desktop: Step-by-Step Guide
Licensing and Activation: Free vs. Pro vs. Premium
System Requirements and Compatibility
Configuring Data Source Settings: Database Connections, APIs, and more
Upgrading and Updating Power BI Desktop
Tips for Installing on macOS
Setting Up Multiple Instances of Power BI Desktop
Navigating the Power BI Desktop Ribbon and Menus
Keyboard Shortcuts for Efficiency
Troubleshooting Installation and Compatibility Issues
Exploring the Power BI interface and workspace
An In-depth Tour of the Power BI Desktop Interface
Customizing the Power BI Workspace: Layout and Preferences
Exploring the Report View, Data View, and Model View
The Role of Fields, Visualizations, and Filters
Working with Data Queries in Power Query
Using Themes and Templates for Consistency
The Benefits of a Clean and Organized Workspace
Navigating Complex Reports: Tips and Techniques
Understanding and Managing Relationships in the Data Model
Accessibility Features in Power BI for Inclusive Design
Data connections & Importing data in Power BI
Connecting to Various Data Sources: Excel, Databases, Web Services, Files
Importing Data vs. DirectQuery vs. Live Connection: Pros and Cons
Data Loading Strategies: Import, Incremental Load, and Scheduled Refresh
Data Source Credentials and Security Settings
Advanced Data Loading: Parameters and Custom Functions
Handling Data Quality Issues and Errors
Creating and Managing Dataflows in Power BI Service
Real-time Data Streaming with Power BI
Data Source Best Practices: Performance and Optimization
Troubleshooting Data Connection Problems
Introduction to DAX and basic calculations
What is DAX (Data Analysis Expressions): An Overview
The Role of DAX in Power BI: Calculated Columns vs. Measures
Basic DAX Functions: SUM, AVERAGE, COUNT, MIN, MAX
Working with Text Functions in DAX
Date and Time Functions in DAX
Filtering Data with DAX: FILTER and ALL
Understanding Row Context and Filter Context
Creating Custom Columns with DAX
Aggregating Data in DAX: SUMX, AVERAGEX, COUNTX
Debugging and Troubleshooting DAX Formulas
Introduction to Power Query Editor
Power Query's Role in Data Transformation and Cleaning
Accessing Power Query Editor in Power BI
Key Features and Components of Power Query Editor
Steps vs. Applied Steps: Managing Data Transformations
Working with Query Parameters for Dynamic Data Loading
Advanced Data Transformation Scenarios
Combining Data from Multiple Sources
Managing Queries and Query Groups
Data Profiling and Quality Assessment in Power Query
Performance Optimization in Power Query
Data cleaning and transformation using Power Query
Common Data Cleaning Tasks in Power Query
Handling Null Values and Errors
Text and String Manipulation in Power Query
Date and Time Transformations
Conditional Logic in Power Query
Advanced Data Transformation Techniques: Pivot, Unpivot, Grouping
Custom Functions in Power Query
Handling Hierarchical Data in Power Query
Best Practices for Clean and Maintainable Queries
Automating Data Transformation Workflows
Creating basic visualizations (tables, graphs, maps)
Creating Tables and Matrices for Data Presentation
Building Bar Charts and Column Charts
Line Charts and Area Charts for Time Series Data
Pie Charts and Donut Charts
Creating Basic Scatter Plots
Visualizing Hierarchical Data with Treemaps and Sunbursts
Creating Maps and Geo-spatial Visualizations
Combining Multiple Visualizations in a Report
Formatting and Customizing Visuals for Clarity
Best Practices for Data Visualization in Power BI
Design interactive reports and dashboards
Building Interactive Reports with Slicers and Filters
Creating Drill-through Pages for Detailed Analysis
Adding Interactivity with Bookmarks and Buttons
Cross-filtering and Highlighting in Reports
Design Principles for Effective Dashboard Layout
Using Themes and Templates for Consistency
Data Storytelling: Crafting a Compelling Narrative
Tips for Designing Reports for Mobile Devices
Accessibility and Inclusivity in Power BI Reports
Gathering User Feedback for Dashboard Improvement
Presenting and Sharing the Power BI Dashboards
Publishing Reports to the Power BI Service
Managing Datasets and Dataflows in the Power BI Service
Collaboration and Sharing: Workspaces and Permissions
Embedding Power BI Reports in Websites and Applications
Exporting Reports to PDF, PowerPoint, and Excel
Power BI Mobile App: Accessing Reports on the Go
Security and Data Protection in Power BI Service
Monitoring Report Performance and Usage
Version Control and Backup Strategies
Best Practices for Long-term Report Maintenance
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Include this Course
Duration
2 Weeks
Estimated Seat
25
Language
Tamil
Category
Business Analyst
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