AI for Data Analytics
12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
Eight sessions from Microsoft on the analytics Power BI can do beyond aggregating and charting.
Forecasting, anomaly detection, key-influencer analysis and the AI visuals that propose an explanation for a number rather than only showing it. Where a model sits behind a feature, the sessions say what it assumes, which is the part that decides whether an answer can be trusted.
Six hours, and firmly for somebody already comfortable with the tool. The value is in knowing which of these features is defensible in front of an audience and which is a demonstration.
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12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
1 lesson, about 11 hours
A single session, about 11 hours, published on YouTube by Luke Barousse. Watched here on the course page.
24 hours
Twenty-four hours of business analytics: the statistics, the tools and the reporting.
10 hours
Ten hours of business analysis from the beginning, for somebody with no background in it.
10 hours
Ten hours of business analytics, from the statistics through to the dashboards.
5 hours
Five hours of SQL for analytics in one sitting.
56 lessons, about 40 hours
A 56-lesson playlist on Power BI, about 40 hours, published on YouTube by edureka!. Watched here on the course page.
44 lessons, about 6 hours
A 44-lesson playlist on Power BI, about 6 hours, published on YouTube by Enterprise DNA. Watched here on the course page.
12 lessons, about 2 hours
A 12-lesson playlist on Power BI, about 2 hours, published on YouTube by Guy in a Cube. Watched here on the course page.