In this video, Antonietta Mira from the InterDisciplinary Institute of Data Science presents: Introduction to Data Science with Spark. The Data Science with Spark Workshop addresses high-level ...
Data science: many skills -- About data -- Identifying data problems -- Getting started with R -- Follow the data -- Rows and columns -- Beer, farms, and peas -- Sample in a jar -- Big data? Big deal!
‘Case Studies in Functional Genomics’ will let learners understand topics such Mapping reads, Quality assessment of Next Generation Data, Analyzing RNA-seq data, Analyzing DNA methylation data and ...
A new free eBook became available: Introduction to Data Science by Jeffrey Stanton, Associate Professor at Syracuse University. This book provides non-technical readers with a gentle introduction to ...
The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...
This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...
This 5-weeks course is intended to provide an introduction to the broad context of NoSQL databases, focusing on two (of the many) “V”s in the BigData paradigm: Variety and Velocity. Specifically, the ...
In this article, we will look at how to identify and fix performance issues in Go programs using the pprof and trace packages. We will begin by covering the fundamentals of the tools, then delving ...
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