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  • wottabyte London training course

Updated: Feb 24, 2019

This week @ Microsoft Reactor London we launched

Power BI Data Scientist & Artificial Intelligence Solutions course. Applications open.

To become 1 of the 15 members of our elite team make sure you submit your application.

Full application details follow and more details for those that missed the launch event can be discovered in the event slides available on github here and below.

•15 Power BI developers sharing niche skills.

•Start 4th March every Monday eve for 6 weeks to 8th April

•Application process: submit details & 1 page niche SME article.

•Niche areas: Python, R, SSAS, SSRS, DAX, Azure ML, Azure Cognitive Services, PBI Enterprise architecture, Visualisation d3.js, PowerBI Embedded, IoT edge AI, Databricks, ML models, SQL/SSMS, and others ?

•Pay fee £90 (£15/eve; seat&snack) & enrol by Mon 25th

•Attend pre-session Tues 26th Feb (London PBIUG).

•Start course 4th March every Monday eve for 6 weeks to 8th April

Complete application form here

•Submit 1 page A4 power BI niche SME area to david [at]

•An article explaining your SME and how it integrates into Article content will be published on public web portal blog.

•Connect & post on Linkedin about this course (see text next page)

•Join linkedin and connect with me ‘David Moss’ and also follow ‘wottabyte |Data Analytics’ then in Linkedin ‘Start a post’ and post to @wottabyte and @DavidMoss stating you have applied to join the ‘Wottabyte #PowerBI team’, with a link to

•If we are already connected simply do the post on Linkedin. Yes thanks we need some free PR.

I hope all the above makes sense and lookign forward to receiving your appilcations to join the elite team.

The team will all become experts in the following areas of expertise.

The Power BI Data Scientist & Artificial Intelligence Solutions Apprentice course focus is about integrating AI tools with Power BI and includes:

· Power BI Data Scientist & AI landscape.

· Power BI forecasting and predictive modelling.

· Power BI & R (IDE: R Studio).

· Azure Machine Learning and Power BI integration.

· Python notebooks (Jupyter/azure) code integrated into Power BI Desktop

· Azure Cognitive Services features in Power BI.

· AI pipeline visualizations in Power BI.

· Augmented Reality Analytics with Power BI.

· Power BI AI challenges.

· IoT AI integration & Power BI

· Power BI & Blockchain.

· Power BI family with Power Apps & Power Flow.

· Additional bespoke requests.

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