Microsoft Power BI for Professional

“Microsoft Power BI for Professionals” is a comprehensive course designed to provide professionals with the skills and knowledge needed to leverage Microsoft Power BI for effective data analysis, visualization, and reporting. This course covers the essential concepts, features, and best practices for creating insightful reports and dashboards, enabling participants to become proficient Power BI users in a professional setting.

Course Objectives:
  1. Power BI Fundamentals: Gain a solid understanding of Power BI, including data modeling, data loading, and report creation.
  2. Data Transformation: Learn how to import, transform, and clean data from various sources to make it suitable for analysis.
  3. Data Visualization: Master the creation of visually compelling and interactive reports and dashboards using Power BI’s extensive range of visuals.
  4. DAX Language: Acquire the skills to write Data Analysis Expressions (DAX) formulas for advanced calculations, measures, and custom columns.
  5. Data Integration: Understand how to connect and merge data from multiple sources, creating comprehensive datasets for analysis.
  6. Real-World Projects: Apply Power BI to real-world scenarios, such as sales analysis, financial reporting, and performance tracking.
  7. Sharing and Collaboration: Learn how to publish and share reports securely within your organization and collaborate on data-driven insights.
  8. Data Security and Governance: Explore best practices for ensuring data security and governance in Power BI.

Course Prerequisites:
  • Basic Data Analysis Knowledge
  • Understanding Data Sources
  • Basic Excel Skills
  • Basic Database Concepts

Target Audience:

 This course is suitable for professionals in various fields, including:
  • Business Analysts
  • Data Analysts
  • Managers and Executives
  • IT Professionals
  • Sales and Marketing Professionals
  • Students and Researchers

By the end of this course, participants will have the skills and knowledge necessary to use Microsoft Power BI for professional data analysis and reporting, enabling them to create insightful reports, dashboards, and data-driven solutions for their organizations.

Course Summary

Course Fee

৳ 10,000

Training Method

Offline/Online

Total Modules

7

Course Duration

24 Hours

Total Session

12

Class Duration

2 Hours

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Details Course Outlines - Power BI

Module-01

Introduction to Power BI

  • Day 1: Getting Started with Power BI
  • Introduction to Power BI and its importance in data analysis
  • Overview of the Power BI interface and workspace
  • Installing and setting up Power BI Desktop
  • Creating your first Power BI project
  • Day 2: Data Sources and Loading Data
  • Connecting to various data sources (e.g., Excel, SQL, web)
  • Importing and loading data into Power BI
  • Data source considerations and best practices
  • Hands-on exercise: Loading a sample dataset

Module-02

Data Preparation in Power BI

  • Day 3: Data Transformation and Cleaning
  • Understanding the Power Query Editor
  • Data transformation operations (filtering, sorting, removing duplicates)
  • Data cleaning techniques
  • Practical exercises: Cleaning and transforming sample data
  • Day 4: Data Modeling Basics
  • Introduction to data modeling in Power BI
  • Creating relationships between tables
  • Managing data model relationships
  • Hands-on exercise: Building a simple data model

Module-03

Creating Basic Visualizations

  • Day 5: Creating Basic Visualizations
  • Session 1: Introduction to Data Visualization
  • Understanding the importance of data visualization
  • Principles of effective data visualization
  • Choosing the right visualization type for your data
  • Best practices for creating compelling visuals
  • Session 2: Building Basic Charts
  • Creating bar charts, column charts, and line charts
  • Using the Fields pane to add data to visuals
  • Customizing visual appearance (colors, labels, titles)
  • Practical exercises: Building basic charts with sample data
  • Day 6: Advanced Visualizations and Formatting
  • Session 1: Pie Charts, Scatter Plots, and Maps
  • Creating pie charts and scatter plots
  • Adding maps for geographical data
  • Customizing visual properties (legends, tooltips)
  • Hands-on exercise: Building pie charts, scatter plots, and maps
  • Session 2: Conditional Formatting and Drill-Through
  • Applying conditional formatting to visuals
  • Creating hierarchical visuals for drill-through
  • Utilizing bookmarks and buttons for interactivity
  • Practical exercises: Applying conditional formatting and drill-through actions

Module-04

Real-World Projects and Case Studies

  • Session 1: Building Practical Projects
  • 4.1.1 Define a Web Scraping Project
  • Discuss various web scraping project ideas and their real-world applications.
  • Guidelines for defining the scope, objectives, and requirements of a web scraping project.
  • Assistance in selecting a project or refining project ideas.
  • 4.1.2 Designing the Project Structure and Data Storage
  • Planning the project's structure and organization.
  • Choosing the appropriate data storage methods (e.g., CSV, JSON, databases).
  • Designing the database schema if applicable.
  • 4.2.1 Guidance and Assistance on Project Work
  • Dedicated time for students to work on their chosen web scraping projects.
  • Instructor support and guidance for overcoming project-related challenges.
  • Reviewing and providing feedback on project progress.
  • 4.2.2 Addressing Common Issues and Challenges
  • Troubleshooting common issues faced during web scraping projects.
  • Strategies for handling unexpected situations and errors.
  • Best practices for debugging and refining web scraping code.

Module-05

Advanced Visualizations and Formatting

  • Day 7: Advanced Visualizations and Formatting
  • Session 1: Advanced Chart Types
  • Exploring advanced chart types like waterfall, funnel, and gauge charts
  • Understanding when and how to use these specialized visualizations
  • Customizing advanced charts for specific insights
  • Practical exercises: Creating advanced chart types
  • Session 2: Custom Visuals and Third-Party Visuals
  • Introduction to custom visuals and their benefits
  • Installing and using custom visuals from Power BI marketplace
  • Incorporating third-party visuals for unique requirements
  • Hands-on exercise: Integrating custom and third-party visuals
  • Day 8: Formatting and Design Best Practices
  • Session 1: Visual Formatting and Themes
  • Applying consistent formatting to visuals
  • Creating and applying custom themes
  • Designing for accessibility and readability
  • Practical exercises: Formatting visuals and applying themes
  • Session 2: Dashboard Design Principles
  • Understanding dashboard layout and organization
  • Telling a story with your data through dashboards
  • Incorporating interactivity and user-friendly design
  • Hands-on exercise: Designing a compelling dashboard

Module-06

Data Modeling and DAX

  • Day 9: Data Modeling and DAX
  • Session 1: Introduction to Data Modeling
  • Understanding the importance of data modeling in Power BI
  • Building relationships between tables
  • One-to-many and many-to-one relationships
  • Practical exercises: Establishing data model relationships
  • Session 2: Data Analysis Expressions (DAX) Fundamentals
  • Introduction to DAX and its role in Power BI
  • Understanding DAX syntax and functions
  • Creating calculated columns and measures
  • Practical exercises: Writing basic DAX calculations
  • Day 10: Advanced DAX and Time Intelligence
  • Session 1: Advanced DAX Functions
  • Exploring advanced DAX functions (e.g., FILTER, CALCULATE, ALL)
  • Aggregating and filtering data using DAX
  • Building complex calculations
  • Hands-on exercise: Using advanced DAX functions
  • Session 2: Time Intelligence in Power BI
  • Understanding time intelligence functions in DAX
  • Calculating year-to-date, month-to-date, and other time-related measures
  • Creating dynamic date calculations
  • Practical exercises: Implementing time intelligence calculations

Module-07

Publishing and Sharing Reports

  • Day 11: Publishing and Sharing Reports
  • Session 1: Publishing to Power BI Service
  • Introduction to Power BI Service
  • Preparing reports for publishing
  • Uploading and publishing reports from Power BI Desktop
  • Practical exercises: Publishing a sample report to Power BI Service
  • Session 2: Sharing and Collaboration
  • Understanding sharing options in Power BI
  • Collaborative features, including sharing dashboards and reports
  • Setting up and managing workspaces
  • Hands-on exercise: Sharing and collaborating on a report

Module-08

Exam and Certification

  • Final Assessment Exam
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