Data Analysis and Presentation with MS Power BI 2025
Develop essential data science & ai skills with expert instruction and practical examples.
What You'll Learn
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About This Course
ABOUT THE INSTRUCTORThis course is published by Kingsley Agbo- a Coach and Business analyst, teaching data analysis techniques, MS Excel, Power Query, Microsoft Power BI, with courses average over 4. 7 stars out of 5. ABOUT THE COURSELearn Power BI for Business Project with automated and latest features.
To create some projects and aid Business Analysts with Automated feature and Technical process in Dashboard development, we utilize the Power BI tool against other BI tools. Some of this features include:Image SlicerIn this Lesson, you will learn how to utilize the Power slicer in Power BI to create a compelling Dashboard with Images as slicer in a bid to make your insights more relatableData Consolidation with Power Query;You will be enlightened on the different process of converting a dataset in a data with integrity using Power Query. We also taught how to achieve a compelling report with some ideas on tackling big datasetsDashboard CustomizationI will expose you to the feature of Power BI used to develop a template that will aid data manipulation to achieve a unique and consistent data by aligning each charts and graph.
Color ManagementI will show you the process and pattern while and when working colors. The Uniqueness and simplicity of colors. The background canvas, the column and bars unique color application etc.
Downloading and Installation of Power BIYou will learn how to utilize Simple steps to download Power BI desktop from free source and run you through its installationAccessing and Sourcing Datasets for ProjectsI will expose you to the Online home of Datasets that will provide you with any type of datasets you want for your Analysis. Hand on Project. You will learn how to wrangle/clean your data to achieve a structured data for analysis.
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$19.99
list price when the catalogue was read (2026-07-07); Udemy sale prices run lower
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The field, explained: Artificial Intelligence & Machine Learning · Data & Analytics
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.