Data Science
When it comes to IT training it's our specialty
*Data Science Fundamentals
This learning path currently consists of modules that introduces you to Data Science from a practitioner point of view, discuss topics such as data compilation, preparation, modeling and methodologies to advanced algorithms. Statistics, R Studio and R basic operations, R SQL integration.
R Basic Operations
The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
Analyzing Big Data with Microsoft or Python or ORACLE over R
Learn how to use Microsoft or Python or ORACLE over R Server to analyze large datasets using R, one of the most powerful programming languages.
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Data Science |
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*Data Science Fundamentals |
30 HOURS |
Programmers, Developers |
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R Basic Operations |
20 HOURS |
Programmers, Developers |
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Analyzing Big Data with Microsoft or Python or ORACLE over R |
30 HOURS |
CCNA CCNP |
Summary of Data Science Courses - Duration & Prerequisites