Analysis and Visualization of Data with Power BI

In this module, you'll be introduced to using visualization and reports in Microsoft Power BI to present data to stakeholders. It covers various types of visualizations including tables, bar charts, column charts, line charts, area charts, combo charts, pie charts, donut charts, treemaps, KPIs, ribbon charts, waterfall charts, funnel charts, and scatter charts.

In this module, you will discover how to improve accessibility and user experience in reports. It covers formatting visualizations, conditional formatting, themes, tooltips, hierarchies, drillthrough, sorting, filtering, cross-filter, cross-highlight, slicers, buttons, bookmarks, and DAX filter context.

In this module, you'll be introduced to dashboards and how they differ from reports, as well as publishing and exporting reports. It covers dashboard creation, improving usability, performance analysis, resolving DAX performance issues, and using variables for performance and troubleshooting.

In this module, you'll be introduced to data analysis. You'll explore how to use visualizations and AI in Microsoft Power BI to perform an analysis of data. It covers statistical summaries, grouping and binning data, histograms, clustering, time series analysis, reference lines, forecasting, key influencers, and decomposition trees.

In this module, you will engage in a hands-on learning experience. You will have the opportunity to fine tune your skills and build on what you have already learned in this course.

In this module, you will be assessed on the key skills covered in the Course. This module provides a summary of the course and reflects on the primary learning objectives. The module also contains the project for the course which encapsulates the learning into a practical whole.