Power BI

Power BI is a cloud-based business analytics service that enables users to visualize and share insights from their data. It allows users to connect to various data sources, transform raw data into meaningful information, and create interactive reports and dashboards.

Power BI integrates with other Microsoft services and can connect to a wide range of data sources, both on-premises and in the cloud.

Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Key features of Power BI include data visualization capabilities that allow users to create compelling charts, graphs, and maps to explore data trends and patterns. It supports self-service BI where users can prepare, model, and transform data without extensive technical knowledge. Additionally, Power BI offers advanced analytics through built-in AI capabilities for predictive analysis and natural language queries.

Power BI promotes collaboration within organizations by facilitating easy sharing of reports and dashboards, ensuring stakeholders have access to real-time insights. It scales from small to large enterprises and is designed to be user-friendly with intuitive drag-and-drop functionalities.

Why to use Power BI?

1. Data Visualization: Power BI allows you to create interactive, compelling visualizations of your data, making it easier to understand trends, patterns, and insights at a glance.
2. Integration: It integrates seamlessly with other Microsoft products and services like Excel, SharePoint, SQL Server, Azure, and more, enabling you to leverage existing data sources and workflows.
3. Data Connectivity: Power BI supports a wide range of data sources, both on-premises and in the cloud, allowing you to bring together data from different sources into one coherent view.
4. Powerful Analytics: With built-in AI capabilities, Power BI can perform complex data analysis and predictive analytics, helping you uncover hidden insights and make data-driven decisions.
5. Collaboration and Sharing: You can easily share reports and dashboards with stakeholders within and outside your organization, fostering collaboration and ensuring everyone has access to the same insights.
6. Scalability: Whether you’re a small business or a large enterprise, Power BI scales according to your needs, handling large volumes of data and supporting growth over time.
7. Customization and Extensibility: Power BI offers extensive customization options through custom visuals, APIs, and developer tools, allowing you to tailor dashboards and reports to specific business needs.
8. Real-Time Dashboards: You can create real-time dashboards that update automatically as new data is imported, ensuring you always have the most up-to-date information at your fingertips.
9. Cost-Effectiveness: It offers various pricing plans, including a free version (Power BI Desktop) and reasonably priced subscriptions for Power BI Pro and Premium, making it accessible to businesses of all sizes.
10. User-Friendly: Despite its advanced capabilities, Power BI is designed to be user-friendly, with intuitive drag-and-drop features that make it accessible to both technical and non-technical users.

Where to use Power BI?

Power BI can be used in various scenarios across different industries and departments within organizations. Here are some common areas where Power BI is typically used:

1. Business Reporting and Analysis: Power BI is ideal for creating interactive reports and dashboards that provide insights into key business metrics such as sales performance, financial analysis, operational efficiency, and more. It allows stakeholders to visualize data trends and make data-driven decisions.
2. Data Visualization: It is used to create compelling visualizations of data, including charts, graphs, maps, and tables. This makes complex data easier to understand and helps in communicating insights effectively across teams and departments.
3. Financial Analysis: Power BI can consolidate financial data from multiple sources and provide financial analysts with tools to perform variance analysis, budgeting, forecasting, and profitability analysis.
4. Marketing and Sales Analytics: Marketing teams can use Power BI to analyze campaign performance, customer behavior, lead generation, and sales pipeline management. It helps in identifying trends, optimizing marketing strategies, and improving sales forecasting.
5. Operations and Supply Chain Management: Power BI can be utilized to monitor and analyze operational metrics such as production efficiency, inventory management, supply chain optimization, and logistics tracking. This enables operations teams to identify inefficiencies and improve processes.
6. Human Resources: HR departments can use Power BI for workforce analytics, employee performance metrics, recruitment analysis, and HR KPI tracking. It helps in managing talent effectively and optimizing HR strategies.
7. Executive Dashboards: Power BI is valuable for creating executive dashboards that provide a high-level overview of organizational performance, strategic insights, and key metrics. Executives can monitor business health and make strategic decisions based on real-time data.
8. Healthcare Analytics: In healthcare, Power BI can analyze patient data, hospital operations, resource allocation, and healthcare outcomes. It aids in improving patient care, operational efficiency, and healthcare management.
9. Education and Institutional Analytics: Educational institutions can use Power BI for student performance analysis, enrollment trends, resource allocation, and institutional effectiveness. It helps in improving educational outcomes and institutional planning.
10. IoT and Sensor Data Analytics: Power BI can integrate with IoT platforms to analyze sensor data, monitor device performance, predict maintenance needs, and optimize IoT deployments.

Module 1: Introduction to Power BI

• Get Started with Power BI
• Overview: Power BI concepts
• Sign up for Power BI
• Overview: Power BI data sources
• Connect to a SaaS solution
• Upload a local CSV file
• Connect to Excel data that can be refreshed
• Connect to a sample
• Create a Report with Visualizations
• Explore the Power BI portal

Module 2: Viz and Tiles

• Overview: Visualizations
• Using visualizations
• Create a new report
• Create and arrange visualizations
• Format a visualization
• Create chart visualizations
• Use text, map, and gauge visualizations and save a report
• Use a slicer to filter visualizations
• Sort, copy, and paste visualizations
• Download and use a custom visual from the gallery

Module 3: Reports and Dashboards 

• Modify and Print a Report
• Rename and delete report pages
• Add a filter to a page or report
• Set visualization interactions
• Print a report page
• Send a report to PowerPoint
• Create a Dashboard
• Create and manage dashboards
• Pin a report tile to a dashboard
• Pin a live report page to a dashboard
• Pin a tile from another dashboard
• Pin an Excel element to a dashboard
• Manage pinned elements in Excel
• Add a tile to a dashboard
• Build a dashboard with Quick Insights
• Set a Featured (default) dashboard
• Ask Questions about Your Data
• Ask a question with Power BI Q&A
• Tweak your dataset for Q&A
• Enable Cortana for Power BI

Module 4: Publishing Workbooks and Workspace

• Share Data with Colleagues and Others
• Publish a report to the web
• Manage published reports
• Share a dashboard
• Create an app workspace and add users
• Use an app workspace
• Publish an app
• Create a QR code to share a tile
• Embed a report in SharePoint Online

Module 5: Other Power BI Components and Table Relationship

• Use Power BI Mobile Apps
• Get Power BI for mobile
• View reports and dashboards in the iPad app
• Use workspaces in the mobile app
• Sharing from Power BI Mobile
• Use Power BI Desktop
• Install and launch Power BI Desktop
• Get data
• Reduce data
• Transform data
• Get Power BI Desktop data with the Power BI service
• Export a report from Power BI service to Desktop

Module 6: DAX functions

• New Dax functions
• Date and time functions
• Time intelligence functions
• Filter functions
• Information functions
• Logical functions
• Math & trig functions
• Parent and child functions
• Text functions

Python Basics

To understand basic concepts of Python because they are used in programming to provide comments.

• Print the values.
• The print statement
• Comments
• Python Data Structures & Data Types
• String Operations in Python
• Simple Input & Output
• Simple Output Formatting
• Deep copy
• Shallow copy
• Operators in python