Master Data Magic with PowerBI: From Data to Dashboards in 4 weeks through hands-on, project-based online training with DSTC.
The Data Magic with PowerBI: From Data to Dashboards 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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Data Magic with PowerBI: From Data to Dashboards 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.
1. Apply biotechnology methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
β’ Master's and senior undergraduate students specializing in biotechnology
β’ R&D engineers and working professionals applying biotechnology in industry
β’ Academics and educators building research or teaching capacity in biotechnology
β’ Tangible, reproducible biotechnology work to show supervisors or employers.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Exploring the PowerBI interface and navigation. β’ Connecting to data sources and importing data into PowerBI. β’ Generating visuals and performing data transformation and cleaning techniques.
Creating relationships between tables and mastering DAX fundamentals. β’ Building basic visualizations and customizing them. β’ Creating calculated columns and measures with DAX.
Designing interactive reports and using filters and slicers. β’ Creating dashboards from reports and publishing and sharing them. β’ Following best practices for PowerBI.
Mastering advanced statistical analysis within Power BI. β’ Integrating machine learning models and algorithms into Power BI. β’ Applying time series analysis and geospatial data analysis techniques.
Understanding data governance principles and regulatory compliance. β’ Integrating Power BI with other data tools and platforms. β’ Handling big data sources and applying data wrangling techniques.
Designing and conducting controlled experiments and A/B tests using Power BI. β’ Applying domain-specific knowledge to address sector-specific challenges. β’ Making data-driven decisions with Power BI insights.
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Microsoft Power BI |
| Covered Tool / Platform | Data Tools |
| Covered Tool / Platform | Platforms |
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