
Data that is messy, inconsistent, or incomplete can undermine even the most powerful analytics. This course engages learners in the art and science of preparing data for analysis, exploring Power Query Editor as a central tool for shaping, profiling, and transforming raw data into trustworthy, structured information. Key concepts such as ETL vs. ELT, data types, field aggregation, and data profiling are introduced to guide effective, reliable data preparation.
Delivered by DATAVERSITY, and taught by both Jeremiah Willett (Associate Manager of Data Engineering at Data Principles) and Vishnu Kumar Annamraju (a Power BI consultant and trainer), the training provides hands-on practice applying step-by-step transformations, merging and appending queries, and documenting work for maintainability. Learners also explore advanced topics including M language basics and query folding, gaining techniques to optimize performance and manage complex datasets, while applying best practices and connector strategies to ensure that prepared data is ready for accurate reporting and analysis.
Course Highlights
Pricing and Credits
By the End of This Course, You’ll Be Able To:
Why Take This Course?
This course provides the skills to turn messy, inconsistent data into clean, reliable, and analysis-ready information using Power BI. It equips learners with practical techniques and best practices for efficient data preparation and transformation.
Is This Course Right for You or Your Team?
This course is ideal for:
No technical experience is required. This course is designed for business-focused professionals looking to build core competency in business intelligence and Power BI.
This Course Includes: