I’ve just updated another section of The Popularity of Data Science Software. It is reproduced below to save you the trouble of reading the entire article. If your organization is looking for training in the R language, you might consider my … Continue reading →
Tag: data science
Gartner’s 2017 Take on Data Science Software
In my ongoing quest to track The Popularity of Data Analysis Software, I’ve finally decided to change the title to use the newer term “data science”. The 2017 version of Gartner’s Magic Quadrant for Data Science Platforms was just published, … Continue reading →
Free eBook: Discovering data science with SAS
We have just launched a free eBook containing a carefully selected collection of chapters from SAS Press books introducing the field of data science. Data science may be a difficult term to define, but data scientists are definitely in great demand! Wayne Thompson, Senior Product Manager at SAS, defines data […]
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When I grow up, I want to be a data scientist
When I was growing up the term “data science” didn’t even exist, let alone dedicated “data scientist” roles. My friends and colleagues might argue that is because I am yet to grow up (!), but do not let this ruin my lead in to the fact that data science as […]
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R Passes SAS in Scholarly Use (finally)
Way back in 2012 I published a forecast that showed that the use of R for scholarly publications would likely pass the use of SAS in 2015. But I didn’t believe the forecast since I expected the sharp decline in SAS … Continue reading →
Rexer Data Science Survey: Satisfaction Results
by Bob Muenchen I previously reported on the initial results of Rexer Analytics’ 2015 survey of data science tools here. More results are now available, and the comprehensive report should be released soon. One of the more interesting questions on the survey … Continue reading →
R’s Growth Continues to Accelerate
Each year I update the growth in R’s capability on The Popularity of Data Analysis Software. And each year, I think R’s incredible rate of growth will finally slow down. Below is a graph of the latest data, and as … Continue reading →
Top three reasons to become a data scientist
1 – For the enjoyment of creating and building new “things” No, data scientists do not build buildings, bridges or cars, but we do build models that can be used to facilitate self-driving cars, uncover fraud or even classify morphologies of distant galaxies. The models we build are solutions to problems […]
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