The “Data Magic with PowerBI: From Data to Dashboards Workshop” is a comprehensive and interactive learning experience designed to equip participants with the knowledge and practical skills needed to harness the full potential of Microsoft Power BI. Led by expert instructors, this hands-on workshop covers data extraction, transformation, modeling, visualization, and sharing, enabling attendees to create dynamic reports and dashboards that drive data-driven decision-making. With a focus on real-world applications and customization, participants will leave with the ability to unlock valuable insights from their data and communicate them effectively, making this workshop a must-attend for both beginners and experienced Power BI users alike.
Aim: The aim of the “Data Magic with PowerBI: From Data to Dashboards Workshop” is to equip participants with the essential knowledge and practical skills needed to proficiently utilize Microsoft Power BI. This workshop seeks to empower attendees with the ability to extract, transform, and model data effectively, enabling them to create insightful reports and dynamic dashboards. By fostering a deeper understanding of Power BI’s features and capabilities, the workshop aims to instill confidence in participants to make data-driven decisions, customize solutions to their specific needs, and effectively communicate insights, ultimately enhancing their data proficiency and analytical capabilities.
- Statistical Analysis Mastery: To provide participants with the expertise to perform advanced statistical analysis within Power BI, including hypothesis testing, regression analysis, and multivariate analysis, for scientific and data-driven research.
- Machine Learning Integration Proficiency: To enable participants to seamlessly integrate machine learning models and algorithms into Power BI for predictive analytics, clustering, classification, and anomaly detection, facilitating data-driven decision-making.
- Advanced DAX Functionality: To master advanced Data Analysis Expressions (DAX) functions and techniques for complex calculations and measures, allowing for in-depth analysis and modeling.
- Time Series Analysis Expertise: To specialize in time series analysis using Power BI, focusing on applications in forecasting, trend identification, and anomaly detection across various scientific domains.
- Geospatial Data Analysis Skills: To enable participants to leverage geospatial data and mapping visualizations within Power BI for spatial analysis and location-based insights, relevant to fields such as environmental science and urban planning.
- Big Data Handling Capability: To teach participants how to connect Power BI to big data sources, apply data wrangling techniques, and work efficiently with large datasets for research and industry applications.
- Data Governance Knowledge: To understand data governance principles, data quality management, and regulatory compliance as they relate to Power BI projects in scientific research and industry.
- Cross-Platform Data Integration: To provide expertise in integrating Power BI with other data tools and platforms, enabling seamless data flow and analysis in cross-functional scientific and industrial applications.
- Industry-Specific Insight: To impart domain-specific knowledge relevant to the participant’s field, empowering them to address sector-specific challenges effectively and make data-driven decisions.
- Experimentation and A/B Testing Skills: To teach participants how to design and conduct controlled experiments and A/B tests using Power BI for scientific research and optimization in industries like e-commerce and healthcare.
What you will learn?
Day 1: Introduction to PowerBI
● Overview of PowerBI and its importance in data analysis.
● Installation and setup of PowerBI Desktop.
● Introduction to PowerBI interface and navigation.
● Connecting to data sources – Excel
● Importing data into PowerBI and generating visuals
● Data transformation and cleaning techniques.
Day 2: Data Modeling and Visualization
● Connecting to Databases and Data Modeling in PowerBI.
● Creating relationships between tables.
● DAX (Data Analysis Expressions) fundamentals.
● Building basic visualizations (charts, tables, maps).
● Formatting and customizing visuals.
● Creating calculated columns and measures with DAX.
Day 3: Reports and Dashboards
● Designing interactive reports.
● Using filters and slicers.
● Adding drill-through functionality.
● Creating dashboards from reports.
● Publishing and sharing reports and dashboards.
● Best practices for PowerBI.
Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Business and Finance, Healthcare, IT and Technology, Manufacturing and Supply Chain, Retail and E-commerce,
Career Supporting Skills
- Advanced Power BI Skills: Proficiency in advanced Power BI features and capabilities, including complex DAX (Data Analysis Expressions) functions, advanced data modeling techniques, and custom visuals.
- Scientific Data Analysis: Capability to apply statistical analysis, hypothesis testing, regression, and other statistical methods to scientific data for research and experimentation.
- Machine Learning Integration: Competence in integrating machine learning models and algorithms into Power BI for predictive analytics, classification, and data-driven forecasting in scientific research and industry-specific applications.
- Geospatial Analysis Proficiency: Skill in leveraging geospatial data and mapping visualizations within Power BI for spatial analysis, geographic information systems (GIS), and location-based insights.
- Time Series Analysis: Mastery in analyzing time series data, including time-based forecasting models and identification of temporal patterns for scientific and industry-specific applications.
- Data Mining Expertise: Ability to apply data mining techniques like clustering, association rule mining, and decision trees to uncover valuable insights and patterns within large datasets.
- Big Data Handling Capability: Proficiency in handling and processing large datasets efficiently within Power BI, including connecting to big data sources and optimizing performance.
- Cross-Platform Data Integration: Competence in integrating Power BI with various data sources, databases, and external platforms, such as Python, R, and cloud-based services.
- Experimentation and A/B Testing: Skills in designing and conducting controlled experiments, A/B tests, and randomized controlled trials (RCTs) for scientific research, optimization, and industry experimentation.
November 28, 2023,11:00 AM