Power BI - Integrating AI

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size446 MB
  • Uploaded Byfreecoursewb
  • Downloads8
  • Last checkedJul. 31st '25
  • Date uploadedJul. 31st '25
  • Seeders 1
  • Leechers5

Infohash : 12F411A6BAFEFCE479E91ED5F5B12156636CDC0F

Power BI: Integrating AI

https://WebToolTip.com

Released 07/2025
With Helen Wall
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 37m 54s | Size: 446 MB

Discover powerful AI and machine learning capabilities and functionalities in Power BI—from analyzing data trends and statistics to visualizing relationships between data.

Course details
Power BI is a powerful data analytics and visualization tool that allows business users to monitor data, analyze trends, and make decisions. Every month, Microsoft pushes Power BI updates out to the end users, and the growth of Power BI is a key part of Microsoft’s current strategy. This course showcases existing AI and machine learning capabilities available directly in accessible Power BI functionalities. Data analytics and business analysis expert Helen Wall gives you a useful overview of Power BI, then dives into the steps to configure Power Query and your data model. Helen steps through the essentials of analyzing single variables and shows you the tools and techniques to measure relationships between variables. She highlights visuals you can use to pose and answer questions in Power BI, explains useful techniques to enhance your analysis of time series data, and walks you through some best practices for sharing your analysis.

Files:

[ WebToolTip.com ] Power BI - Integrating AI
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 0 - Introduction
    • 1. The power of Power BI.mp4 (3.1 MB)
    • 1. The power of Power BI.srt (1.4 KB)
    • 2. What you should know.mp4 (580.6 KB)
    • 2. What you should know.srt (0.8 KB)
    • 3. Configuring R in Power BI Desktop.mp4 (2.9 MB)
    • 3. Configuring R in Power BI Desktop.srt (1.8 KB)
    1 - How Can We Use AI in Power BI
    • 1. Overviewing AI.mp4 (8.1 MB)
    • 1. Overviewing AI.srt (5.3 KB)
    • 10. Detecting items in image data.mp4 (9.9 MB)
    • 10. Detecting items in image data.srt (6.3 KB)
    • 2. Utilizing Power BI.mp4 (7.8 MB)
    • 2. Utilizing Power BI.srt (4.9 KB)
    • 3. Analyzing dataset statistics and distributions.mp4 (11.1 MB)
    • 3. Analyzing dataset statistics and distributions.srt (7.3 KB)
    • 4. Adding a column using fuzzy matching.mp4 (8.8 MB)
    • 4. Adding a column using fuzzy matching.srt (6.7 KB)
    • 5. Grouping data with fuzzy matching.mp4 (5.8 MB)
    • 5. Grouping data with fuzzy matching.srt (4.6 KB)
    • 6. Merging tables using fuzzy matching.mp4 (7.8 MB)
    • 6. Merging tables using fuzzy matching.srt (7.2 KB)
    • 7. Detecting languages.mp4 (10.2 MB)
    • 7. Detecting languages.srt (7.7 KB)
    • 8. Extracting key text phrases.mp4 (8.3 MB)
    • 8. Extracting key text phrases.srt (4.3 KB)
    • 9. Scoring language sentiment.mp4 (6.6 MB)
    • 9. Scoring language sentiment.srt (6.1 KB)
    2 - Configuring the Semantic Model and Power Query
    • 1. Choosing Power BI visuals.mp4 (13.4 MB)
    • 1. Choosing Power BI visuals.srt (9.5 KB)
    • 2. Leveraging slicers.mp4 (9.4 MB)
    • 2. Leveraging slicers.srt (5.3 KB)
    • 3. Defining dimensionality.mp4 (14.1 MB)
    • 3. Defining dimensionality.srt (9.2 KB)
    • 4. Building DAX models.mp4 (12.5 MB)
    • 4. Building DAX models.srt (7.3 KB)
    • 5. Using CALCULATE for DAX measures.mp4 (10.1 MB)
    • 5. Using CALCULATE for DAX measures.srt (5.1 KB)
    • 6. Visualizing distributions.mp4 (13.5 MB)
    • 6. Visualizing distributions.srt (7.4 KB)
    • 7. Leveraging parameters.mp4 (11.8 MB)
    • 7. Leveraging parameters.srt (6.9 KB)
    • 8. Formatting measure units.mp4 (12.7 MB)
    • 8. Formatting measure units.srt (7.6 KB)
    3 - Analyzing Data Loaded into a Model
    • 1. Utilizing the decomposition tree.mp4 (9.0 MB)
    • 1. Utilizing the decomposition tree.srt (6.3 KB)
    • 2. Discovering key insights with the key influencer visual.mp4 (8.1 MB)
    • 2. Discovering key insights with the key influencer visual.srt (5.1 KB)
    • 3. Leveraging the Q&A visual.mp4 (8.0 MB)
    • 3. Leveraging the Q&A visual.srt (5.7 KB)
    • 4. Using the narrative visual.mp4 (7.1 MB)
    • 4. Using the narrative visual.srt (4.2 KB)
    4 - Analyzing Trends
    • 1. Finding clusters.mp4 (17.6 MB)
    • 1. Finding clusters.srt (8.8 KB)
    • 2. Calculating best fit line.mp4 (10.3 MB)
    • 2. Calculating best fit line.srt (5.2 KB)
    • 3. Calculating correlations.mp4 (11.8 MB)
    • 3. Calculating correlations.srt (7.0 KB)
    • 4. Visualizing relationships between variable pairs.mp4 (8.9 MB)
    • 4. Visualizing relationships between variable pairs.srt (4.9 KB)
    • 5. Analyzing correlations with variable pairs.mp4 (14.9 MB)
    • 5. Analyzing correlations with variable pairs.srt (6.8 KB)
    • 6. Creating corrplot.mp4 (34.8 MB)
    • 6. Creating corrplot.srt (17.0 KB)
    5 - Analyzing Groups
    • 1. Calculating linear regression coefficients.mp4 (23.4 MB)
    • 1. Calculating linear regression coefficients.srt (8.2 KB)
    • 2. Checking outputs for regression models.mp4 (10.8 MB)
    • 2. Checking outputs for regression models.srt (4.4 KB)
    • 3. Making predictions for regression models.mp4 (8.7 MB)
    • 3. Making predictions for regression models.srt (5.7 KB)
    • 4. Calculating residuals.mp4 (16.1 MB)
    • 4. Calculating residuals.srt (7.1 KB)
    • 5. Using the LINEST DAX function.mp4 (8.3 MB)
    • 5. Using the LINEST DAX function.srt (4.7 KB)
    • 6. Utilizing the LINESTX DAX function.mp4 (21.9 MB)
    • 6. Utilizing the LINESTX DAX function.srt (10.0 KB)
    • 7. Creating a polynomial regression model.mp4 (17.6 MB)
    • 7. Creating a polynomial regression model.srt (9.2 KB)
    • 8. Calculating outliers.mp4 (20.0 MB)
    • 8. Calculating outliers.srt (10.8 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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