List

Why you should learn R first for data science/An introduction to data science

 January 29, 2015 |  Moritz S. Schmid |  Reblog

Here is an interesting article on how to get started with data science. What paths can be chosen, what programming languages, and what to take care of. A good beginners guide I think. Furthermore there are many good notions towards data wrangling, machine learning etc. Why you should learn R first for data science?

Source: Why you should learn R first for data science

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  Posts

1 2 3
September 18th, 2018

Getting started with #deeplearning in R | #RStudio Blog

This is a reblog from the R Studio Blog by Sigrid Keydana, 2018-09-12   There are good reasons to get into deep […]
November 23rd, 2016

#ggforce for accelerating #ggplot2 in #dataviz

  This is a reblog from: Data Imaginist – Announcing ggforce: Accelerating ggplot2 by Thomas Lin Pedersen      November 22, 2016 […]
November 20th, 2016

Reblogged from: Dr. Paige Brown Jarreau, http://www.fromthelabbench.com Taking Facial Recognition to the Ocean – Automatic Identification of Tiny Arctic Animals   […]
November 16th, 2016

ggplot2 2.2.0 #dataviz #R #datascience @rstudio

Yes! The new ggplot is out and my favourite is definitely the updated faceting! This is a reblog from RStudio Blog by […]
November 16th, 2016

ggedit add-on for #ggplot2 #dataviz #R #datascience

This is a reblog from: R-statistics blog: Guest post by Jonathan Sidi, Metrum Research Group ggplot2 has become the standard of […]
August 27th, 2016

#R Packages for #Data Access

This is a reblog from R Packages for Data Access by Joseph Rickert Data Science is all about getting access to […]
August 16th, 2016

Getting Your Colleagues Hooked on #R

You love R and you want your colleagues to love R too. In our latest post we will walk you […]
August 14th, 2016

Convolutional #neuralnetwork in #R (MXNet package) #MachineLearning #DataScience

The Beginner Programmer: Image recognition tutorial in R using deep convolutional neural networks (MXNet package) This is a reblog of […]
June 3rd, 2016

Mad Hatter Explains Support Vector Machines #scicomm #machinelearning #SVM #datascience

This is a reblog from: Joel Caldwell. Thanks for this great story!   “Hatter?” asked Alice, “Why are support vector […]
May 11th, 2016

What’s the difference between machine learning, statistics, and data mining?

This is a reblog from SHARP SIGHT LABS. Thanks for that great article! However, I would like to point out […]