Power BI: Integrating AI and Machine Learning
Focused View
Helen Wall
3:58:18
117 View
01 - The power of Power BI.mp4
00:57
02 - What you should know.mp4
00:55
03 - Overviewing AI and machine learning types.mp4
03:22
04 - Defining dimensionality.mp4
02:06
05 - Utilizing the Power BI ecosystem and Azure.mp4
03:06
06 - Configuring R in Power BI Desktop.mp4
03:14
07 - Introducing the course project.mp4
02:47
01 - Utilizing AI in the ETL framework.mp4
05:04
02 - Configuring parameters.mp4
05:48
03 - Analyzing dataset statistics and distributions.mp4
04:01
04 - Configuring separate error logs for existing datasets.mp4
06:10
05 - Running Vision algorithms.mp4
04:49
06 - Utilizing Text Analytics algorithms.mp4
03:56
07 - Leveraging AI and the star schema.mp4
07:22
08 - Adjusting DateTime fields for lags.mp4
05:06
01 - Configuring aggregations and dimensionality.mp4
05:17
02 - Filtering options.mp4
06:11
03 - Calculating DAX measures.mp4
06:25
04 - Challenge Single variable.mp4
01:46
05 - Calculating rolling averages.mp4
07:01
06 - Utilizing binning to create histograms.mp4
05:42
07 - Summarizing statistics.mp4
04:33
08 - Splitting a category with small multiples.mp4
02:38
09 - Leveraging violin plots.mp4
04:25
10 - Solution Single variable.mp4
03:32
01 - Visualizing relationships with scatter plots.mp4
05:19
02 - Accessing the Analytics pane.mp4
04:25
03 - Calculating correlations.mp4
05:57
04 - Visualizing correlations.mp4
06:17
05 - Adding clustering to existing visuals.mp4
04:35
06 - Calculating best fit line.mp4
08:41
07 - Utilizing the outlier detection visual.mp4
04:25
08 - Calculating outliers.mp4
04:39
09 - Contextualizing outliers.mp4
02:56
10 - Challenge Multiple variables.mp4
00:53
11 - Solution Multiple variables.mp4
04:28
01 - Determining key drivers with decomposition tree visual.mp4
04:34
02 - Leveraging the Q&A visual.mp4
06:45
03 - Discovering key insights with the Key Influencer visual.mp4
03:04
04 - Utilizing parameters to model what-if scenarios.mp4
05:55
05 - Challenge AI visuals.mp4
00:46
06 - Solution AI visuals.mp4
04:19
01 - Organizing time series analysis.mp4
05:58
02 - Adding forecasting from the Analytics pane.mp4
02:18
03 - Leveraging anomaly detection.mp4
07:19
04 - Utilizing ARIMA forecasting.mp4
03:20
05 - Incorporating seasonality through TBATS forecasting.mp4
04:56
06 - Analyzing predictions vs. actuals.mp4
07:40
07 - Challenge Time series analysis.mp4
01:03
08 - Solution Time series analysis.mp4
01:39
01 - Designing a consolidated view for sharing.mp4
05:50
02 - Uploading and sharing in the Power BI service.mp4
04:24
03 - Configuring quick insights.mp4
04:46
04 - Challenge Shared view.mp4
01:27
05 - Solution Shared view.mp4
02:56
01 - How to learn ML and AI in Power BI.mp4
00:31
Ex_Files_Power_BI_AI_and_Machine_Learning.zip
Description
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 analyzing single variables and shows you the tools and techniques to measure relationships between variables. She shows you visuals that 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.
More details
User Reviews
Rating
average 0
Focused display
Helen Wall
Instructor's CoursesFollow me to see my latest published content on data science, analytics, and visualization! Aficionado of Power BI, AWS, Tableau, and Excel (including Power Query), and currently diving deep into the world of Python, R, and AI (including machine learning). Designer and developer of business intelligence dashboards and visualizations supporting many business functions and industries.
Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 56
- duration 3:58:18
- Release Date 2023/01/09
