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[Udemy Course] DAX / Power BI - Data Analysis Techniques Part 2 by Randy Minder

[Udemy Course] DAX / Power BI - Data Analysis Techniques Part 2 by Randy Minder

RM15.00
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Description

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

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.

💢💢💢💢💢💢💢💢

Product Details: https://bit.ly/2TY07SI

File size: 2.7GB

Payment and delivery:
1. Please provide your EMAIL address in “message:” during checkout.
2. The files will be sent to you after payment has been confirmed.

🔥 All files will be delivered online.
🔥 Download for Lifetime Access

Kindly PM us if you are looking for other ebooks/ Video Courses.
Enjoy learning!

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