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Power BI is a tool for Business Intelligence created by Microsoft.
It is an easy to use tool for Data Analysts and Business Analysts.
You can join Power BI course at Slidescope and get complete guidance with practical knowledge on live datasets.
With knowledge of programming languages like Python or R Programming, Power BI becomes a powerful tool for data analysis.
Power BI can connect to data sources like – Excel, SQL, CSV, JSON, XML etc. and with simple drag and drop you can start analyzing data.
| Course Name | Power BI Course for Beginners |
| Mode Of Training | Online and Offline |
| Duration | 10 Weeks |
| Course Provider | Slidescope |
Benefits of Power BI for Data Analytics and Business Intelligence
- Easy to use: Power BI has a user-friendly interface that makes it easy for users to create interactive visualizations, reports, and dashboards.
- Real-time data: Power BI allows users to connect to various data sources, including cloud services and databases, and provide real-time data updates.
- Customizable: Power BI offers a wide range of customization options, allowing users to tailor the visualizations, reports, and dashboards to their specific needs.
- Collaboration: Power BI allows users to share their visualizations, reports, and dashboards with others, making it easy for teams to collaborate and work together.
- Cost-effective: Power BI is a cost-effective solution for data analytics and business intelligence, with a range of pricing options to suit different needs.
- Integration: Power BI can be integrated with other Microsoft tools such as Excel, Azure, and Dynamics 365, allowing for seamless integration with other business processes.
- Mobile compatibility: Power BI is available on mobile devices, which enables users to access and analyze their data on the go.
Power BI Course Syllabus
Here’s a comprehensive syllabus for a beginner’s course on Power BI. This syllabus is structured to cover the fundamental aspects of Power BI, including data import, transformation, visualization, and sharing.
Module 1: Introduction to Power BI
Topics:
- Overview of Power BI
- Understanding Power BI components (Power BI Desktop, Service, Mobile Apps)
- Installation and setup of Power BI Desktop
- Navigating the Power BI interface
Learning Objectives:
- Understand the purpose and capabilities of Power BI
- Identify the different components of Power BI
- Set up and navigate Power BI Desktop
Practical Exercises:
- Install Power BI Desktop
- Explore the Power BI Desktop interface
- Understand the Power BI ecosystem
Module 2: Connecting to Data Sources
Topics:
- Overview of data sources
- Connecting to Excel, CSV, and other flat files
- Connecting to databases (SQL Server, Access)
- Connecting to online services (SharePoint, OneDrive)
- Using direct query vs. import mode
Learning Objectives:
- Connect Power BI to various data sources
- Understand the differences between import and direct query modes
Practical Exercises:
- Connect to an Excel workbook and load data
- Connect to a SQL Server database and load data
- Connect to a web data source
Module 3: Data Transformation with Power Query
Topics:
- Introduction to Power Query Editor
- Basic transformations: renaming columns, changing data types, removing rows/columns
- Advanced transformations: pivoting/unpivoting, merging, appending
- Using M language basics
Learning Objectives:
- Perform data cleansing and transformation using Power Query
- Apply advanced data transformation techniques
- Understand the basics of the M language
Practical Exercises:
- Cleanse and transform a dataset using Power Query
- Merge and append multiple datasets
- Use basic M language expressions in Power Query
Module 4: Data Modeling
Topics:
- Introduction to data modeling concepts
- Creating and managing relationships between tables
- Understanding data model concepts: star schema, snowflake schema
- Creating calculated columns and measures
Learning Objectives:
- Create and manage relationships in the data model
- Understand different data model schemas
- Create calculated columns and measures using DAX
Practical Exercises:
- Create relationships between tables in a data model
- Design a star schema data model
- Create basic DAX measures and calculated columns
Module 5: Data Visualization
Topics:
- Introduction to Power BI visuals
- Creating basic charts: bar, line, pie charts
- Using advanced visuals: maps, gauges, tree maps
- Customizing visual appearance: formatting, themes
- Using slicers and filters
Learning Objectives:
- Create and customize basic and advanced visualizations
- Apply slicers and filters to enhance reports
Practical Exercises:
- Create various types of charts and visuals
- Customize visuals with formatting options
- Add and configure slicers and filters to a report.
Module 6: Advanced Data Visualization Techniques
Topics:
- Using custom visuals from the Power BI marketplace
- Creating interactive dashboards
- Implementing drill-through and drill-down features
- Using bookmarks and buttons for navigation
Learning Objectives:
- Utilize custom visuals to enhance reports
- Create interactive and user-friendly dashboards
- Implement advanced navigation features in reports
Practical Exercises:
- Import and use custom visuals from the Power BI marketplace
- Design an interactive dashboard
- Implement drill-through and drill-down capabilities in a report
- Use bookmarks and buttons for report navigation
Module 7: Sharing and Collaboration
Topics:
- Publishing reports to Power BI Service
- Creating and managing workspaces
- Sharing reports and dashboards
- Collaborating with others using Power BI Service
- Using Power BI Mobile Apps
Learning Objectives:
- Publish and share Power BI reports
- Collaborate with team members using Power BI Service
- Access and interact with reports on Power BI Mobile Apps
Practical Exercises:
- Publish a report to Power BI Service
- Share a report with colleagues and manage permissions
- Access and use a report on a mobile device
Module 8: Power BI and Excel Integration
Topics:
- Analyzing Power BI data in Excel
- Importing Excel workbooks into Power BI
- Using Excel as a data source for Power BI
- Connecting Power BI datasets to Excel
Learning Objectives:
- Integrate Power BI with Excel for enhanced data analysis
- Use Excel data within Power BI and vice versa
Practical Exercises:
- Export Power BI data to Excel for further analysis
- Import an Excel workbook into Power BI
- Connect to a Power BI dataset from Excel
Module 9: Introduction to Power BI Service Features
Topics:
- Understanding Power BI Service features
- Creating dashboards in Power BI Service
- Using Q&A feature for natural language queries
- Setting up data alerts and subscriptions
Learning Objectives:
- Utilize Power BI Service features for enhanced reporting
- Create and manage dashboards
- Use natural language queries with the Q&A feature
- Set up data alerts and report subscriptions
Practical Exercises:
- Create a dashboard in Power BI Service
- Use the Q&A feature to ask questions about your data
- Set up an alert for a specific data threshold
- Subscribe to a report and manage email notifications
Module 10: Case Studies and Project Work
Topics:
- Real-world case studies
- End-to-end project: From data import to dashboard sharing
Learning Objectives:
- Apply Power BI skills to real-world scenarios
- Complete an end-to-end project demonstrating all course concepts
Practical Exercises:
- Work on provided case studies
- Complete a capstone project involving data import, transformation, modeling, visualization, and sharing
Module 11: Review and Q&A
Topics:
- Review of key concepts
- Open Q&A session for clearing doubts
- Feedback and course wrap-up
Learning Objectives:
- Reinforce learning through review and practice
- Address any remaining questions
- Gather feedback for course improvement
Practical Exercises:
- Participate in a review quiz covering all modules
- Engage in a Q&A session with the instructor
- Provide feedback on the course content and structure
