How best to manage data using R programming. While the analytics world is being transformed by the EU’s General Data Protection Regulation, marketers are discovering a potential new solution to ...

“I have written software professionally in perhaps ... Our aim here isn’t R mastery, but giving you a path to start using R for basic data work: Extracting key statistics out of a data set ...

It was basically impossible to use R as back-end server ... suited for people that have data-oriented problems they’re trying to solve, regardless of their programming aptitude,” he says.

Most courses within the specialization use the tidyverse packages in R and the RStudio IDE. This specialization is also an excellent primer for learners preparing to complete CU Boulder’s Master of ...

(Recall that R vectors use 1-based indexing). The cluster IDs are arbitrary. The important information is the specification of which data items belong to the same cluster. The second half of the demo ...

Aligarh Muslim University (AMU), in collaboration with the Department of Commerce, successfully organized a one-week workshop on "Data Analytics using R", followed by a farewell ceremony for the ...

Data analytics has evolved beyond traditional forecasting and budgeting. It has become an active decision validation engine.

Develop interdisciplinary skills in data science and gain knowledge of ... of basic mathematical concepts and computer programming. Math: Calculus and Linear Algebra Programming: Python and R ...

Topics include resampling methods, Monte Carlo simulation methods, smoothing technique to estimate functions, and methods to explore data structure. This course will use the statistical software R.