| 1. Calculating linear regression coefficients.mp4 | 23.4 MB | ||
| 1. Calculating linear regression coefficients.srt | 8.2 KB | ||
| 1. Choosing Power BI visuals.mp4 | 13.4 MB | ||
| 1. Choosing Power BI visuals.srt | 9.5 KB | ||
| 1. Finding clusters.mp4 | 17.6 MB | ||
| 1. Finding clusters.srt | 8.8 KB | ||
| 1. Overviewing AI.mp4 | 8.1 MB | ||
| 1. Overviewing AI.srt | 5.3 KB | ||
| 1. The power of Power BI.mp4 | 3.1 MB | ||
| 1. The power of Power BI.srt | 1.4 KB | ||
| 1. Utilizing the decomposition tree.mp4 | 9 MB | ||
| 1. Utilizing the decomposition tree.srt | 6.3 KB | ||
| 10. Detecting items in image data.mp4 | 9.9 MB | ||
| 10. Detecting items in image data.srt | 6.3 KB | ||
| 2. Calculating best fit line.mp4 | 10.3 MB | ||
| 2. Calculating best fit line.srt | 5.2 KB | ||
| 2. Checking outputs for regression models.mp4 | 10.8 MB | ||
| 2. Checking outputs for regression models.srt | 4.4 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 | ||
| 2. Leveraging slicers.mp4 | 9.4 MB | ||
| 2. Leveraging slicers.srt | 5.3 KB | ||
| 2. Utilizing Power BI.mp4 | 7.8 MB | ||
| 2. Utilizing Power BI.srt | 4.9 KB | ||
| 2. What you should know.mp4 | 580.6 KB | ||
| 2. What you should know.srt | 819.2 B | ||
| 3. Analyzing dataset statistics and distributions.mp4 | 11.1 MB | ||
| 3. Analyzing dataset statistics and distributions.srt | 7.3 KB | ||
| 3. Calculating correlations.mp4 | 11.8 MB | ||
| 3. Calculating correlations.srt | 7 KB | ||
| 3. Configuring R in Power BI Desktop.mp4 | 2.9 MB | ||
| 3. Configuring R in Power BI Desktop.srt | 1.8 KB | ||
| 3. Defining dimensionality.mp4 | 14.1 MB | ||
| 3. Defining dimensionality.srt | 9.2 KB | ||
| 3. Leveraging the Q&A visual.mp4 | 8 MB | ||
| 3. Leveraging the Q&A visual.srt | 5.7 KB | ||
| 3. Making predictions for regression models.mp4 | 8.7 MB | ||
| 3. Making predictions for regression models.srt | 5.7 KB | ||
| 4. Adding a column using fuzzy matching.mp4 | 8.8 MB | ||
| 4. Adding a column using fuzzy matching.srt | 6.7 KB | ||
| 4. Building DAX models.mp4 | 12.5 MB | ||
| 4. Building DAX models.srt | 7.3 KB | ||
| 4. Calculating residuals.mp4 | 16.1 MB | ||
| 4. Calculating residuals.srt | 7.1 KB | ||
| 4. Using the narrative visual.mp4 | 7.1 MB | ||
| 4. Using the narrative visual.srt | 4.2 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 | ||
| 5. Grouping data with fuzzy matching.mp4 | 5.8 MB | ||
| 5. Grouping data with fuzzy matching.srt | 4.6 KB | ||
| 5. Using CALCULATE for DAX measures.mp4 | 10.1 MB | ||
| 5. Using CALCULATE for DAX measures.srt | 5.1 KB | ||
| 5. Using the LINEST DAX function.mp4 | 8.3 MB | ||
| 5. Using the LINEST DAX function.srt | 4.7 KB | ||
| 6. Creating corrplot.mp4 | 34.8 MB | ||
| 6. Creating corrplot.srt | 17 KB | ||
| 6. Merging tables using fuzzy matching.mp4 | 7.8 MB | ||
| 6. Merging tables using fuzzy matching.srt | 7.2 KB | ||
| 6. Utilizing the LINESTX DAX function.mp4 | 21.9 MB | ||
| 6. Utilizing the LINESTX DAX function.srt | 10 KB | ||
| 6. Visualizing distributions.mp4 | 13.5 MB | ||
| 6. Visualizing distributions.srt | 7.4 KB | ||
| 7. Creating a polynomial regression model.mp4 | 17.6 MB | ||
| 7. Creating a polynomial regression model.srt | 9.2 KB | ||
| 7. Detecting languages.mp4 | 10.2 MB | ||
| 7. Detecting languages.srt | 7.7 KB | ||
| 7. Leveraging parameters.mp4 | 11.8 MB | ||
| 7. Leveraging parameters.srt | 6.9 KB | ||
| 8. Calculating outliers.mp4 | 20 MB | ||
| 8. Calculating outliers.srt | 10.8 KB | ||
| 8. Extracting key text phrases.mp4 | 8.3 MB | ||
| 8. Extracting key text phrases.srt | 4.3 KB | ||
| 8. Formatting measure units.mp4 | 12.7 MB | ||
| 8. Formatting measure units.srt | 7.6 KB | ||
| 9. Scoring language sentiment.mp4 | 6.6 MB | ||
| 9. Scoring language sentiment.srt | 6.1 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 80 total files | |||
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.
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Udemy - Unlock The Power Of Myofascial Release - Head, Face and Neck Posted by
freecoursewb in Other
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Udemy - Renew Your Power Bi Data Analyst Certification (Pl-300 Exam) Posted by
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2.5 GB | freecoursewb | 2 weeks | 9 | 8 |
| 507 MB | freecoursewb | 2 weeks | 26 | 11 | |
| 2.7 GB | freecoursewb | 3 weeks | 12 | 1 | |
| 2.1 GB | freecoursewb | 3 weeks | 0 | 0 |
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