PL-300: Applying Power BI's Advanced Analysis Features
Microsoft Power BI 2.96 | Intermediate
- 9 videos | 1h 18m 42s
- Includes Assessment
- Earns a Badge
It can be overwhelming to think about analyzing data to meet all pre-defined requirements. Luckily, advancements in technology can help with this analysis. Learn to use the Power BI features made possible by AI and other advanced techniques in this demo-based course. Use Power BI's Analyze feature to understand values and metrics in sales data. Apply the forecasting feature to a line chart to estimate future sales. Then find outliers in terms of daily sales using the anomaly detection feature. Next, use the Q&A visual to allow users to extract insights from data using plain English. Finally, create a decomposition tree to break down the sales data across different categories. Upon completion, you'll know how to use advanced analysis features in Power BI to extract pertinent insights from your data. You'll also be more prepared for the PL-300 certification exam.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursebuild a column chart to analyze the distribution of values across categories and the Analyze feature to identify situations where the distribution is differentuse the Analyze feature of line charts to explain plausible reasons for an increase or decrease in a metricapply the forecasting feature in a line chart to estimate future values based on past patternsfind anomalies in a time series by using and configuring the anomaly detection feature in Power BI
include and apply the Q&A visual in a report to enable users to extract insights by asking for it in plain Englishdescribe how query terms can be mapped to fields in a dataset for a Q&A visualconstruct a decomposition tree to analyze a metric across various categoriessummarize the key concepts covered in this course
IN THIS COURSE
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.Digital badges are yours to keep, forever.
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