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Keep shoppingDAX / Power BI - Data Analysis Techniques Part 1
259 students
DAX / Power BI - Data Analysis Techniques Part 1
10 different DAX and Power BI data analysis techniques covered in part 1 of this course
Created byRandy Minder
Last updated 7/2021
English
What you'll 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
Explore related topics
Course content
11 sections • 28 lectures • 4h 18m total length
Requirements
- Some basic knowledge of DAX and Power BI would be helpful
Description
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.
Who this course is for:
- DAX and Power BI developers who love analyzing data!