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:
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Cluster analysis
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Cohort analysis
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Segmentation analysis
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R and Python integration analysis
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Pareto Principal
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Customer attrition analysis
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Basket analysis
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Variance analysis
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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
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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!
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