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Discover powerful AI and machine learning capabilities and functionalities in Power BI—from analyzing data trends and statistics to visualizing relationships between data.
Syllabus
Introduction
- The power of Power BI
- What you should know
- GitHub data sources
- Overviewing AI
- Utilizing Power BI
- Analyzing dataset statistics and distributions
- Adding a column using fuzzy matching
- Grouping data with fuzzy matching
- Merging tables using fuzzy matching
- Detecting languages
- Extracting key text phrases
- Scoring language sentiment
- Detecting items in image data
- Choosing Power BI visuals
- Leveraging slicers
- Defining dimensionality
- Building DAX models
- Using CALCULATE for DAX measures
- Visualizing distributions
- Leveraging parameters
- Formatting measure units
- Utilizing the decomposition tree
- Discovering key insights with the key influencer visual
- Leveraging the Q&A visual
- Using the narrative visual
- Finding clusters
- Calculating best fit line
- Calculating correlations
- Visualizing relationships between variable pairs
- Analyzing correlations with variable pairs
- Creating corrplot
- Calculating linear regression coefficients
- Checking outputs for regression models
- Making predictions for regression models
- Calculating residuals
- Using the LINEST DAX function
- Utilizing the LINESTX DAX function
- Creating a polynomial regression model
- Calculating outliers
- Using parameters in regression models
- Calculating rolling averages
- Leveraging anomaly detection
- Calculating seasonality trends
- Calculating overall trends
- Contextualizing outliers versus anomalies
- Adding forecasting from the analytics pane
- Putting everything together
- Next steps
Taught by
Helen Wall
Reviews
1.0 rating, based on 1 Class Central review
4.6 rating at LinkedIn Learning based on 182 ratings
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Helen Wall (the instructor) gives a very contrived and odd presentation. Much of the content could have been transmitted much more efficiently by text, or at least with a text-based summary. I got halfway through before giving up and I still hadn't learned anything substantive.
However, the real problem is that neither Helen, nor the course description, give any indication that the course requires a organization account. (A personal account on Microsoft Fabric will not give you access to Dataflows and other crucial features needed to complete the course.) It would have been very nice to know this several hours ago.