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DAX / Power BI - Data Analysis Techniques Part 2

10 additional DAX and Power BI data analysis techniques covered in this continuation course from part 1

4.50 (1 reviews)

Students

4.5 hours

Content

Jul 2021

Last Update
Regular Price


What you will 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


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.


Screenshots

DAX / Power BI - Data Analysis Techniques Part 2
DAX / Power BI - Data Analysis Techniques Part 2
DAX / Power BI - Data Analysis Techniques Part 2
DAX / Power BI - Data Analysis Techniques Part 2

Content

Introduction

Introduction

Datasets used in the course

Before you purchase this course

Cohort Analysis

Cohort Analysis Prelude

Cohort Analysis Part 1

Cohort Analysis Part 2

Miscellaneous Analysis Techniques

Cross-selling Analysis

Pareto Analysis

Simple Clustering Analysis

Simple Clustering Analysis

Simple Clustering Analysis Practice

Ranking Analysis

Static Ranking

Dynamic Ranking

Top N Ranking

Ranking Analysis Practice

Attrition Analysis

Attrition Analysis Part 1

Attrition Analysis Part 2

R Integration

R Integration Part 1

R Integration Part 2

R Integration Part 3

Percentile Analysis

Percentile Analysis

Percentile Analysis Practice

Scenario / Sensitivity Analysis

Scenario / Sensitivity Analysis Part 1

Scenario / Sensitivity Analysis Part 2

Scenario / Sensitivity Analysis Practice

Market Basket Analysis

Market Basket Analysis Part 1

Market Basket Analysis Part 2

Market Basket Analysis Part 3


4193446

Udemy ID

7/19/2021

Course created date

8/1/2021

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