DAX Power BI Data Analysis Techniques Part 1

DAX / Power BI – Data Analysis Techniques Part 1, available at $44.99, has an average rating of 4.9, with 28 lectures, based on 14 reviews, and has 211 subscribers.

You will learn about Anomaly detection analysis Time series and forecasting analysis Key Influencers analysis Q and A analysis Decomposition Tree analysis Grouping and binning analysis Geospatial analysis Smart Narratives Analysis Quick Insights analysis Currency conversion useful for other types of 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 1

Summary

Title: DAX / Power BI – Data Analysis Techniques Part 1

Price: $44.99

Average Rating: 4.9

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Anomaly detection analysis

Time series and forecasting analysis

Key Influencers analysis

Q and A analysis

Decomposition Tree analysis

Grouping and binning analysis

Geospatial analysis

Smart Narratives Analysis

Quick Insights analysis

Currency conversion useful for other types of analysis

Who Should Attend

DAX and Power BI developers who love analyzing data!

Target Audiences

DAX and Power BI developers who love analyzing data!

If you are a DAX and Power BI developer, or studying for the DA-100 exam, you almost certainly love to work with data, data of any kind. In fact, you might consider yourself a “data geek”. For non-native English speaking students this phrase, as used here, means an expert or enthusiast obsessed with a hobby or intellectual pursuit. In this case, the pursuit of data.

In this 4+ hour course we cover at least 10 different data analysis techniques including AI related data analysis techniques including Anomaly Detection, Key Influencer Analysis, Q&A analysis and Decomposition Tree analysis. We also cover time series and forecasting analysis, Smart Narrative analysis, Geospatial analysis, Quick Insight analysis, grouping and binning analysis and currency conversion, which is often included in other types of sales analysis.

There will be a part 2 to this course where we will pick up where we left off and cover at least the following types of analysis:

Cluster analysis

Cohort analysis

Segmentation analysis

R and Python integration analysis

Pareto Principal

Customer attrition analysis

Basket analysis

Variance analysis

Ranking 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Anomaly Detection

Lecture 1: Anomaly Detection Part 1

Lecture 2: Anomaly Detection Part 2

Lecture 3: Anomaly Detection Practice

Chapter 3: Key Influencer Analysis

Lecture 1: Key Influencers Visual Part 1

Lecture 2: Key Influencers Visual Part 2

Lecture 3: Key Influencers Visual Part 3

Lecture 4: Key Influencers Visual Practice

Chapter 4: Forecasting Analysis

Lecture 1: Time Series (Forecasting) Analysis Part 1

Lecture 2: Time Series (Forecasting) Analysis Part 2

Chapter 5: Q&A Analysis

Lecture 1: Q&A Visual Analysis Part 1

Lecture 2: Q&A Visual Analysis Part 2

Lecture 3: Q&A Visual Analysis Part 3

Lecture 4: Q&A Visual Practice

Chapter 6: Decomposition Tree Analysis

Lecture 1: Decomposition Tree Part 1

Lecture 2: Decomposition Tree Part 2

Lecture 3: Decomposition Tree Practice

Chapter 7: Smart Narratives

Lecture 1: Smart Narratives Part 1

Lecture 2: Smart Narratives Practice

Chapter 8: Geospatial Analysis

Lecture 1: Geospatial Analysis Part 1

Lecture 2: Geospatial Analysis Part 2

Lecture 3: Geospatial Analysis Practice

Chapter 9: Quick Insights

Lecture 1: Quick Insights Analysis Part 1

Lecture 2: Quick Insights Analysis Part 2

Chapter 10: Grouping and Binning Analysis

Lecture 1: Grouping and Binning Analysis Part 1

Lecture 2: Grouping and Binning Analysis Part 2

Lecture 3: Grouping and Binning Analysis Practice

Chapter 11: Miscellaneous Analysis Techniques

Lecture 1: Performing Currency Conversions

Instructors

Randy Minder
Lead BI Developer / Power BI / Microsoft Fabric

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 3 votes

5 stars: 10 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!