Introduction to R (TRA78-UK)
- Science & Technology
- etc.venues, EC2Y 9AE London
This is a 1-day classroom course in Central London. Your trainer is Andrie de Vries
Revolution R Enterprise allows R users to process visualize and model terabyte- class data sets at a fraction of the time in comparison to legacy products without requiring expensive or specialized hardware.
After completing Big Data Analytics with Revolution R Enterprise, you will be able to:
Users with foundational knowledge in R and multivariate modeling
Introduction to Revolution R Enterprise
Revolution R Enterprise allows you conduct predictive analysis on your enterprise data. After completing Introduction to Revolution R Enterprise, you will be able to:
Data Manipulation with Revolution R Enterprise
Data manipulation allows you to use small and large datasets in industry standard formats. After completing Data Manipulation with Revolution R Enterprise, you will be able to:
Data Exploration with Revolution R Enterprise
Revolution R Enterprise Data Lab allows you to test new ideas and identify trends. After completing Data Exploration with Revolution R Enterprise, you will be able to:
Data Analysis with Revolution R Enterprise
Analyze your data across popular statistical models to predict outcomes. After completing Data Analysis with Revolution R Enterprise, you will be able to:
Advanced Data Analysis with Revolution R Enterprise
Leverage on your foundational Revolution R Enterprise knowledge to write your own “chunking” algorithms. After completing Advanced Data Analysis using Revolution R Enterprise, you will be able to:
We have the right to cancel the event for any reason at any time. Revolution Analytics will refund all monies paid for ticket sales in full in the event of a cancellation. We are not responsible for any travel related expenses incurred by attendees for this event. This includes but not limited to transportation, hotel accommodations or any other travel related expenses secured by the attendee, due to a cancellation on our part.
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