Back to Power BI: Data Analytics and Data Preparation
Learner Reviews & Feedback for Power BI: Data Analytics and Data Preparation by Whizlabs
10 ratings
About the Course
This course is designed to provide a comprehensive foundation in Microsoft Data Analytics, equipping learners with essential skills in Power BI for data-driven decision-making. Participants will begin by exploring data sources, understanding how to connect, manage, and optimize various datasets for analysis.
The course progresses to data cleaning techniques, ensuring accuracy and consistency in raw data before visualization. Learners will gain expertise in data types and data combining, enhancing efficiency in integrating multiple datasets. Additionally, the course covers data transformation principles, allowing participants to refine and manipulate data for advanced modeling and reporting.
This course is structured into multiple modules, each featuring lessons and video lectures that provide theoretical insights and hands-on practice. Participants will engage with approximately 3:00–4:00 hours of instructional content, ensuring both conceptual understanding and practical application. To reinforce learning, graded and ungraded assignments are included within each module to test the ability of learners in real-world scenarios.
Module 1: Microsoft Data Analytics: Exploring Power BI Data Sources
Module 2: Data Cleaning Techniques in Power BI
Module 3: Data Types and Transformation Techniques in Power BI
At the end of the course, learners will learn
- Understand key concepts of the PL-300 certification and the role of a data analyst.
- Learn to acquire, clean, and transform data using Power BI tools.
- Develop proficiency in Power BI’s interface, modeling, and visualization.
- Learn to manage columns and reduce rows for efficient data cleaning in Power BI.
- Apply sorting, splitting, and replacing values to enhance dataset organization.
- Utilize filters, including text, numerical, and date-based, for refined data analysis.
- Develop practical skills for transforming raw data into structured insights in Power BI.
- Understand different Power BI data types and their applications in data processing.
- Learn to merge, append, and integrate datasets using various query techniques.
- Apply transformation techniques like grouping, transposing, pivoting, and unpivoting for structured analytics.
- Develop practical skills in error handling, renaming, and optimizing data workflows in Power BI
This course is for Data Analysts, Data Engineers, Power BI Analyst, and Power BI Experts
Top reviews
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1 - 5 of 5 Reviews for Power BI: Data Analytics and Data Preparation
By ROSHNI C
•Dec 17, 2025
Very interesting
By Sasmit R
•Dec 30, 2025
Very good
By SHARVANI R
•Nov 9, 2025
GOOD
By M'hamed A
•Jan 1, 2026
The course is well designed overall, but it could have been significantly shorter. In addition, the final graded assignment could have been better structured for certificate completion.
By María J H E
•Aug 29, 2025
waste of time! whole modules for introduction very long only to enter module 2 the real practice and find out they didnt load the excels for practice alongside the video. Whats the point?!