This Analyzing Big Data with Microsoft R course is about how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.
The open-source programming language R has for a long time been popular (particularly in academia) for data processing and statistical analysis. Among R's strengths are that it's a succinct programming language and has an extensive repository of third party libraries for performing all kinds of analyses. Together, these two features make it possible for a data scientist to very quickly go from raw data to summaries, charts, and even full-blown reports. However, one deficiency with R is that traditionally it uses a lot of memory, both because it needs to load a copy of the data in its entirety as a data.frame object, and also because processing the data often involves making further copies (sometimes referred to as copy-on-modify). This is one of the reasons R has been more reluctantly received by industry compared to academia.
Seth is a data scientist at Microsoft who specializes in training and consulting clients who use Microsoft R Server. His past work includes training teams of data scientists to use R and MRS, showing how MRS fits in the big-data architecture, and helping with migration from tools such as SAS to R and MRS, and optimizing R performance. Before joining Microsoft, Seth worked as an analytics consultant at Revolution Analytics, the R-based big data and analytics company that was acquired by Microsoft in May 2015. Seth also has experience in marketing and customer analytics from prior jobs at American Express and Saks Fifth Avenue. He is a passionate "R-vangelist", an avid outdoorsman (who moved to Seattle to be close to lakes and mountains), and an amateur globetrotter.
You can enroll now for the Analyzing Big Data with Microsoft R course at our DataChangers Academy! Do you want to learn more? Then check out our other Data & AI courses.