Traditional business intelligence professionals often find it challenging to identify how this new “analytics” craze is any different from what they’ve been doing all along. Other data professionals don’t think much about the difference between BI and data science, because they’re too busy getting amazing results from data science applications like Watson Analytics and Tableau. It’s easy to become satisfied with “business as usual”, but what happens when the game changes and more powerful methods become available to derive more value from the same old data? If you want to cut out all the process bulk and really laser target the data and data operations you need… if you want extremely fast results… and if you want to generate data insights that’ll keep you the A-player at your workplace, then you’ll be happy to know that there’s a free (and relatively) easy way to achieve these results by using R programming language. In this webinar, you’ll get an introduction to R and the core benefits it offers you. You’ll see the lifecycle of an analytics project, noting how analytics is definitely distinct from traditional business intelligence. And lastly, you’ll get a live demo and tutorial on how you can begin using R to prepare your data for analytics.

Hora

17:00 - 18:00 hs GMT+1

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Big Data Management
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