Training on Data Science with Power BI

In an era where data is a strategic asset, organizations require powerful tools to transform raw data into meaningful insights. Power BI has emerged as a leading business intelligence platform, enabling professionals to analyze data, uncover trends, and present insights through interactive dashboards and reports.

This comprehensive 10-day training provides participants with practical skills in data science with Power BI, focusing on the end-to-end data analytics workflow from data collection and transformation to modeling, visualization, and reporting. The course is designed to bridge the gap between technical data processing and business decision-making.

Participants will learn how to import, clean, and transform data using Power Query, build robust data models, and create relationships that support accurate analysis. The training also covers DAX (Data Analysis Expressions) for advanced calculations, enabling users to perform complex data analysis and derive deeper insights.

A strong emphasis is placed on data visualization and storytelling, equipping participants with the ability to design intuitive dashboards and interactive reports that communicate insights effectively to stakeholders. Learners will also explore advanced analytics features, including trend analysis, forecasting, and performance monitoring.

Through hands-on exercises and real-world case studies, participants will gain practical experience in solving business problems using Power BI—transforming raw datasets into actionable intelligence that supports strategic and operational decisions.

By the end of the course, participants will be able to build dynamic dashboards, perform advanced data analysis, and deliver impactful business insights using Power BI.

Duration

10 Days

Who Should Attend

• Business Analysts
• Data Scientists and Engineers
• IT Professionals
• Project Managers
• Financial Analysts
• Decision-makers seeking data-driven insights
• Anyone interested in data visualization and analytics using Power BI

Organizational Impact

• Enhance decision-making by turning raw data into actionable insights and visual reports.

• Improve operational efficiency through automated data processes.

• Foster a data-driven culture to uncover trends, reduce costs, and boost profitability.

• Ensure consistency and reliability using Power BI for business intelligence.

Personal Impact

• Gain a highly in-demand skill in data analysis and visualization.

• Progress into senior leadership, business intelligence, or strategic planning roles.

• Contribute to organizational success with data-driven recommendations.

• Lead and champion data initiatives with confidence.

By the end of this course, participants will be able to:

• Understand the fundamentals of data science and its application in business decision-making.
• Master Power BI’s tools for data preparation, transformation, and visualization.
• Learn how to build and share interactive reports and dashboards.
• Explore machine learning models and predictive analytics within Power BI.
• Develop practical skills for analyzing large datasets, identifying patterns, and drawing actionable insights.
• Gain the ability to communicate complex data findings to stakeholders effectively.

Module 1: Introduction to Power BI and Data Science Concepts

• Overview of Power BI architecture
• Key concepts in data science and their applications
• Introduction to data preparation and transformation

Module 2:   Data Loading and Transformation

• Connecting to various data sources (Excel, SQL, APIs, etc.)
• Cleaning and shaping data using Power Query Editor
• Creating relationships between data tables

Module 3:  Data Modeling and DAX Functions

• Creating efficient data models
• Introduction to DAX and its applications
• Calculated columns and measures

Module 4:  Building Data Visualizations

• Choosing the right charts and visuals for your data
• Customizing visuals to meet specific reporting needs
• Best practices for effective data visualization

Module 5:  Developing Interactive Dashboards

• Building interactive dashboards with slicers, filters, and drill-downs
• Creating and sharing custom themes for consistent design
• Real-time dashboard monitoring

Module 6:  Advanced Analytics in Power BI

• Applying advanced DAX functions for complex calculations
• Predictive analytics using machine learning models
• Time series analysis and forecasting

Module 7: Using AI Features in Power BI

• Natural language query (Q&A) for data insights
• Integration of AI-driven visuals
• Understanding Power BI’s AI-driven anomaly detection

Module 8: Publishing and Sharing Power BI Reports

• Power BI Service vs. Power BI Desktop
• Publishing reports and managing access
• Sharing dashboards and reports via apps, emails, and embedded content

Module 9: Automating Reports and Dashboards

• Setting up data refresh and scheduling updates
• Using Power Automate to create automated workflows
• Integration with Microsoft Teams and SharePoint

Module 10: Best Practices for Data Presentation

• How to effectively communicate data-driven insights
• Tailoring reports and presentations for different stakeholders
• Storytelling with data to drive business actions