DAX / Power BI - Data Analysis Techniques Part 2
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 27 lectures (4h 17m) | Size: 1.75 GB
10 additional DAX and Power BI data analysis techniques covered in this continuation course from part 1
What you'll learn:
Cohort Analysis
Cross-selling Analysis
Pareto Analysis
Simple Clustering Analysis
Ranking Analysis
Attrition Analysis
R Integration
Percentile Analysis
Scenario / Sensitivity Analysis
Market Basket Analysis
Requirements
Some basic knowledge of DAX and Power BI would be helpful
Description
DAX and Power BI offer a wide range of data analysis techniques. In fact, as you probably know, data analysis is at the heart of working with tools like Power BI and DAX. This is why we have created a two-course series of data analysis techniques using DAX and Power BI.
In Part 1 of this course we spend over four hours covering a wide range of very interesting topics such as anomaly detection, Key Influencer analysis, forecasting analysis, Decomposition Tree analysis, Q & A analysis and much more.
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