DAX / Power BI - Data Analysis Techniques Part 2

[mitsumi]

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.

You can continue to improve your analysis skills with this 4+ hour course. We cover at least 10 more different and interesting data analysis techniques including:

Cohort Analysis

Cross-selling Analysis

Pareto Analysis

Simple Clustering Analysis

Ranking Analysis

Attrition Analysis

R Integration

Percentile Analysis

Scenario / Sensitivity Analysis

After we cover each technique, or at least most of them, you will have the opportunity to do a little practice to test, and further enforce what you have learned. This course would also be valuable for study towards the DA-100 exam.

A common question will be "is there going to be a part 3 to this series?" We have no plans for a part 3. If you would like other areas of analysis covered, let us know and we will add it to either part 1 or part 2.

Who this course is for
DAX and Power BI developers who love analyzing data!

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