James Enoch

7月 212016

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 […]

The post When I grow up, I want to be a data scientist appeared first on SAS Learning Post.

12月 032014

SAS University Edition has been available for free download for six months – in that time we’ve seen 50,192,670 PROCs or DATA steps executed globally – that’s almost 4,000 hours duration!

Now, we were founded on stats so we thought we’d bring you some of the key metrics we’ve discovered over the past six months.

  • 50,192,670 PROCs/DATA steps executed
  • 13,634,561 seconds of duration for all PROCs (3,787.38 hours)
  • 40,403 unique systems have registered
  • 22,629 unique systems that have reported usage (56% of all registered)

SAS Analytics UTop 20 PROCs executed

Did your favourite PROC make it into the list? Can't see it? Ask us in the comments below – we have more data! Or you can head on over to the SAS Analytics U online community to discuss.

Obs. Name Number executed Sum of time spent executing
1 DATA step 34,403,229 2,699,397
2 SQL 4,482,278 709,635
3 SORT 3,533,974 412,108
4 PRINT 1,561,451 1,753,789
5 MEANS 1,129,950 176,810
6 APPEND 475,796 39,004
7 PRINTTO 473,741 31,454
8 DATASETS 433,945 89,520
9 FREQ 340,295 410,420
10 TRANSPOS 304,311 9,314
11 ROBUSTRE 300,183 171,981
12 IMPORT 279,215 365,478
13 MIXED 226,042 763,875
14 PLOT 206,895 11,386
15 UNIVARIA 166,502 729,890
16 REG 154,523 1,372,852
17 CONTENTS 152,598 67,762
18 SGPLOT 148,290 388,157
19 SUMMARY 121,574 14,833
20 CORR 107,992 77,494

SAS University EditionSAS University Edition - Easy to access, easy to use.

Download and install the software yourself – no need to go through convoluted channels for software distribution. And it’s portable, so it goes wherever you go. Once you download it, you don't even need an Internet connection to use it. Writing and submitting code is easy (no, really!) thanks to a powerful graphical interface that provides point-and-click access to advanced statistical analysis software, no matter what level you're at – from introductory statistics to higher-level analytics classes.

Need some tutorials or training to get started? There are over 180 Tutorials available for free at your fingertips, while the SAS Programming 1 and SAS Statistics 1 eLearning courses are also available at no charge to get you going. SAS Education also has a wide variety of training courses to further your knowledge where needed.

Already a user? Tell us your experience with SAS University Edition in the comments below.

tags: analytics, Data, education
10月 102014

The rise of analytics and big data presents a once-in-a-generation opportunity for organisations to put themselves at the cutting edge, to create a competitive advantage by developing a culture of analytical success within their organisation. Yet most seem unable to grasp the opportunity that is within their reach.

Eric Hoffer wrote that "In times of change, learners inherit the Earth, while the learned find themselves beautifully equipped to deal with a world that no longer exists." So why in this time of rapid change are our organisations failing to invest in educating their most important asset - their employees?

Organisations should be investing time and money into programs and courses to supercharge their staff for success with analytics in business.

With the recent advances in analytical programs and training, many staff will be new to the latest education. Even those with relevant education may not have had the chance to complement their knowledge with industry experience, as a result they may be missing essential domain knowledge and communication skills.

Three things you can do to invest in your organisation’s biggest asset and secure a competitive advantage:

  1. Involve staff in classroom training courses and workshops available that provide the skills and experience needed to succeed in a rapidly changing environment. Couple this with professional accreditations where they are available.
  2. If struggling for initial budget to invest, access complimentary training to demonstrate the value created. For example, at SAS we have made our Programming 1 and Statistics 1 eLearning courses available at no cost, accessible online. Showing the ROI through investing time to develop skills can build support for investment in further education.
  3. Look out for some of the full degree University programs being developed around Data Science, Business Analytics and Advanced Analytics. Integrate these into individual’s professional development plans.

Interested in learning more about education programs? Please leave a comment below or tweet me @james_enoch


It doesn’t matter how many resources you have. If you don’t know how to use them it will never be enough.

tags: analytics, business analytics, education, success