Business Professionals: Including analysts, managers, and executives who need to analyse and present data to make informed business decisions.

Requirements

1.Understanding of Data Concepts: While not mandatory, having a basic understanding of data concepts (e.g., what is a database, what are tables and columns) can be helpful.

2.Familiarity with Microsoft Excel: Knowledge of Excel is beneficial since Power BI shares similarities with Excel in terms of data manipulation and visualization. However, it's not strictly required as Power BI has its own interface and functionalities.

3.Analytical Skills: A fundamental ability to analyse data and derive insights will aid in effectively using Power BI to create meaningful reports and dashboards.

Power BI (Business Intelligence) has been experiencing growing demand in the job market due to its powerful data visualization and business analytics capabilities. Here are some key points regarding the job prospects of Power BI

1.Increasing Demand: There has been a significant increase in demand for professionals skilled in Power BI. Many organizations are adopting Power BI as their preferred tool for data visualization and analysis due to its user-friendly interface and integration capabilities with other Microsoft products.

2.Wide Adoption: Power BI is widely adopted across various industries including finance, healthcare, retail, and technology. This widespread adoption increases the job opportunities for individuals proficient in Power BI.

3.Skill Set in Demand: Employers are actively seeking candidates who have skills in creating dashboards, reports, and data models using Power BI. Knowledge of DAX (Data Analysis Expressions) and M language can further enhance job prospects.

4.Integration with Microsoft Ecosystem: Power BI integrates seamlessly with other Microsoft tools such as Excel, Azure, and SQL Server. Professionals who are proficient in these tools along with Power BI are particularly valuable.

5.Roles and Titles: Job titles for Power BI professionals may vary but commonly include roles such as Business Intelligence Analyst, Data Analyst, BI Developer, and Data Visualization Specialist. These roles typically involve designing and developing BI solutions using Power BI.

6.Career Growth: As organizations continue to leverage data for decision-making, the demand for skilled Power BI professionals is expected to grow. Continuous learning and staying updated with the latest features and updates in Power BI can further enhance career growth prospects.

1.Data Integration: Power BI allows integration of data from multiple sources, including databases, cloud services, and spreadsheets, providing a unified view of business data.

2.Visual Data Exploration: Users can create interactive dashboards and reports with a wide range of visualizations (charts, graphs, maps) to explore data trends and patterns easily.

3.Real-Time Insights: Power BI supports real-time data updates and streaming analytics, enabling businesses to make timely decisions based on the latest information.

4.Self-Service Analytics: Empowers business users to create their own reports and perform ad-hoc analysis without relying heavily on IT, thereby increasing productivity.

5.Scalability: Power BI scales with the organization’s needs, whether it’s a small team or a large enterprise, handling large volumes of data efficiently.

6.Integration with Microsoft Ecosystem: Seamlessly integrates with other Microsoft products like Excel, SharePoint, and Azure, enhancing collaboration and leveraging existing investments.

7.AI and Machine Learning Capabilities: Includes AI-driven features such as natural language querying (Q&A) and automated insights, making it easier to derive actionable insights from complex data.

1. Financial Reporting and Analysis:

• Monitor financial KPIs (Key Performance Indicators) such as revenue, expenses, and profitability.
• Create financial dashboards and reports for budgeting, forecasting, and variance analysis.

2. Sales and Marketing Analytics:

• Track sales performance metrics, pipeline analysis, and customer acquisition trends.
• Analyze marketing campaign effectiveness, ROI (Return on Investment), and customer segmentation.

3. Operational Efficiency and Supply Chain Management:

• Monitor operational metrics like production output, inventory levels, and logistics performance.
• Optimize supply chain operations by identifying bottlenecks and improving procurement processes.

4. Human Resources and Employee Analytics:

• Analyze HR data such as employee turnover rates, performance metrics, and workforce demographics.
• Create HR dashboards for workforce planning, talent management, and employee engagement analysis.

5. Customer Insights and Service Optimization:

• Understand customer behaviour, preferences, and satisfaction levels through CRM (Customer Relationship Management) data integration.
• Improve customer service operations by analyzing support ticket trends and service performance metrics.

6. Risk Management and Compliance:

• Monitor and analyze risk factors through integrated data sources to mitigate operational and financial risks.
• Ensure compliance with regulatory requirements by tracking relevant metrics and conducting audits.

7. Executive Dashboards and Strategic Decision-Making

• Provide executives with high-level dashboards for strategic decision-making based on comprehensive business intelligence and analytics.
• Visualize strategic goals, monitor performance against targets, and identify growth opportunities.

1. Power BI Desktop

• Report View: Where visualizations are created and arranged.
• Data View: Where data sources are imported, transformed, and modeled using Power Query Editor.
• Relationship View: Where relationships between different data tables are managed.
• Query Editor: For data transformation tasks using Power Query M language.

2. Power BI Service (Power BI Online)

• Dashboards and Reports: Published from Power BI Desktop for sharing and collaboration.
• Datasets: Connects to various data sources, refreshes data, and manages schedules.
• Workspaces: Collaborative spaces for teams to work on reports and dashboards.

3. Power BI Mobile

• Access: View and interact with reports and dashboards on mobile devices.
• Alerts: Receive notifications based on data thresholds.

4. Power BI Gateway

• Personal Gateway: Connects Power BI to on-premises data sources for refreshing datasets.
• Enterprise Gateway: Manages connections for multiple users and data sources securely.

1. Data Import and Transformation:

• Power Query: Data extraction, transformation, and loading (ETL) capabilities.
• Data Modeling: Creating relationships between data tables, defining measures and calculated columns using DAX (Data Analysis Expressions).

2. Data Visualization:

• Charts: Various types including bar charts, line charts, pie charts, etc.
• Maps: Geospatial visualization using Bing Maps integration.
• Matrixes and Tables: Tabular representations with drill-down capabilities.
• Custom Visuals: Extend Power BI with custom visualizations from AppSource.

3. Creating Reports and Dashboards:

• Report Design: Arranging visualizations, applying filters and slicers.
• Dashboard Design: Creating summary views with tiles from multiple reports.

4. Sharing and Collaboration:

• Publishing: Publish reports and dashboards to Power BI Service.
• Sharing: Share content with colleagues and stakeholders, control access permissions.
• Embedding: Embed Power BI reports and dashboards into other applications or websites.

5. Data Refresh and Scheduled Refresh:

• Refresh Options: Configure automatic refresh schedules for datasets.
• DirectQuery and Live Connections: Real-time data access options for up-to-date reporting.

6. Security and Governance:

• Row-level Security: Restrict data access based on user roles.
• Data Encryption: Ensure data security during transmission and storage.
• Auditing and Compliance: Monitor usage and ensure regulatory compliance.

7. Advanced Analytics and AI Integration:

• Power BI Premium Features: Advanced capabilities including large datasets, AI visuals, and paginated reports.
• Integration with Azure Services: Utilize Azure AI and Machine Learning services within Power BI.

8. Administration and Maintenance:

• Power BI Admin Portal: Manage settings, capacities, and licenses.
• Monitoring and Performance Tuning: Monitor usage, performance, and optimize data models.

Online Weekend Sessions: 09 - 12 | Duration: 40 to 45 Hours

1.Introduction to Power BI

• Overview of Power BI
• Power BI ecosystem and components
• Power BI Desktop vs. Power BI Service

2.Getting Started with Power BI Desktop

• Installing Power BI Desktop
• Connecting to data sources
• Loading data into Power BI

3.Transforming Data with Power Query

• Introduction to Power Query
• Data transformation basics (filtering, sorting, etc.)
• Advanced data transformations (merging, appending, pivoting, etc.)

4.Data Modeling in Power BI

• Introduction to data modeling
• Creating relationships between tables
• DAX basics (functions, calculated columns, measures)

5.Creating Visualizations

• Basics of visualizations in Power BI
• Different types of charts and graphs
• Formatting and customization options

6.Building Interactive Reports and Dashboards

• Designing interactive reports
• Adding slicers, filters, and drill-through
• Creating and sharing dashboards

7.Publishing and Sharing Reports (Theoretical Part will try for practical – depends on Power BI service availability)

• Publishing to Power BI Service
• Setting up data refresh schedules