DAX Power BI Data Analysis Techniques Part 2

DAX / Power BI – Data Analysis Techniques Part 2, available at $54.99, has an average rating of 4.88, with 27 lectures, based on 4 reviews, and has 198 subscribers.

You will learn about Cohort Analysis Cross-selling Analysis Pareto Analysis Simple Clustering Analysis Ranking Analysis Attrition Analysis R Integration Percentile Analysis Scenario / Sensitivity Analysis Market Basket Analysis This course is ideal for individuals who are DAX and Power BI developers who love analyzing data! It is particularly useful for DAX and Power BI developers who love analyzing data!.

Enroll now: DAX / Power BI – Data Analysis Techniques Part 2

Summary

Title: DAX / Power BI – Data Analysis Techniques Part 2

Price: $54.99

Average Rating: 4.88

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $22.99

Quality Status: approved

Status: Live

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

Who Should Attend

DAX and Power BI developers who love analyzing data!

Target Audiences

DAX and Power BI developers who love analyzing data!

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Datasets used in the course

Lecture 3: Before you purchase this course

Chapter 2: Cohort Analysis

Lecture 1: Cohort Analysis Prelude

Lecture 2: Cohort Analysis Part 1

Lecture 3: Cohort Analysis Part 2

Chapter 3: Miscellaneous Analysis Techniques

Lecture 1: Cross-selling Analysis

Lecture 2: Pareto Analysis

Chapter 4: Simple Clustering Analysis

Lecture 1: Simple Clustering Analysis

Lecture 2: Simple Clustering Analysis Practice

Chapter 5: Ranking Analysis

Lecture 1: Static Ranking

Lecture 2: Dynamic Ranking

Lecture 3: Top N Ranking

Lecture 4: Ranking Analysis Practice

Chapter 6: Attrition Analysis

Lecture 1: Attrition Analysis Part 1

Lecture 2: Attrition Analysis Part 2

Chapter 7: R Integration

Lecture 1: R Integration Part 1

Lecture 2: R Integration Part 2

Lecture 3: R Integration Part 3

Chapter 8: Percentile Analysis

Lecture 1: Percentile Analysis

Lecture 2: Percentile Analysis Practice

Chapter 9: Scenario / Sensitivity Analysis

Lecture 1: Scenario / Sensitivity Analysis Part 1

Lecture 2: Scenario / Sensitivity Analysis Part 2

Lecture 3: Scenario / Sensitivity Analysis Practice

Chapter 10: Market Basket Analysis

Lecture 1: Market Basket Analysis Part 1

Lecture 2: Market Basket Analysis Part 2

Lecture 3: Market Basket Analysis Part 3

Instructors

Randy Minder
Lead BI Developer / Power BI / Microsoft Fabric

Rating Distribution

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4 stars: 1 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!