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July 2017 Updates

  • 02 Jul 2017 7:02 AM
    Message # 4928610
    Anonymous member (Administrator)

    On the Compare and Conquer page, I added the SAS paper on Exploring Popular Programming Techniques for SAS® and Microsoft® Users by Kirk Paul Lafler.  From this paper, I added example code using PROC EXPORT, PROC IMPORT and ODS EXCEL.

  • 09 Jul 2017 3:26 PM
    Reply # 4958355 on 4928610
    Anonymous member (Administrator)

    On the clinical data reporting page, I added this paper - Smart Programming and SAE Reconciliation, Haibin Shu, Ronen Mansuri, Maggie Jiang.

  • 11 Jul 2017 5:41 AM
    Reply # 4967465 on 4928610
    Anonymous member (Administrator)

    See list of useful and free SAS webinars on selected topics.

  • 14 Jul 2017 7:22 AM
    Reply # 4976442 on 4928610
    Anonymous member (Administrator)

    On the common FAQ page, I added these two tips.  See if you know these answers.

    What happens when you apply a datetime format on a date variable?

    Is it possible to apply a CASE clause within a ORDER clause?

  • 14 Jul 2017 2:58 PM
    Reply # 4977181 on 4928610
    Anonymous member (Administrator)

    SAS Savvy is happy to post this Internship Opportunity with Riskpulse.  Please contact them directly at will.henry@riskpulse.com.

    www.riskpulse.com

    Description:

    Riskpulse is looking for data-science interns with knowledge of Python and data analysis (classroom projects and on-the-job experience are awesome). We initially expect 2-4 hours per week but the opportunity is likely to grow and could expand to a full-time position. The intern will work directly with our Lead Data Scientist and our Chief Analytics Officer on customer-focused data-science projects.

    Responsibilities:

    ● Perform exploration of datasets using Python, Pandas, and Jupyter notebooks.

    ● Document and share results of exploration with the full Riskpulse team.

    ● Assist in data science R&D.

    ● Assist in development of predictive models.

    Requirements:

    ● 1 year of Python experience

    ● 6 months of Pandas experience

    ● Coursework in Data Analytics / Statistics

    ● Machine learning experience is a plus.

    Location:

    Riskpulse a virtual office with nodes in Austin, Silicon Valley, Chicago, Miami, Madison WI, and

    Albany NY. Our intern is welcome to join an office-node or you can work from anywhere that

    suits you best...

    Description of Riskpulse:

    Riskpulse is a supply chain risk analytics company that helps its clients and their partners increase the predictability and stability of their financial and physical operations globally. Many of the largest food shippers, consumer packaged goods manufacturers, automakers, and retailers trust the Riskpulse Score (RpS) and the Riskpulse suite of cloud-based software applications to standardize their quantification of risk and guide their operational planning.

    Commodity investment firms depend on Riskpulse probabilistic forecasts and advisory services to guide their understanding of weather's impact on supply and demand. Headquartered in Austin, TX, Riskpulse is rapidly becoming the standard way for members of the supply chain to get the signals they need to optimize for risk.


  • 16 Jul 2017 4:01 PM
    Reply # 4979455 on 4928610
  • 24 Jul 2017 11:46 AM
    Reply # 4992330 on 4928610
    Anonymous member (Administrator)

    On the Clinical Lab Data page, I corrected one link on normal data range and added another link about lab conversions.  

    Thanks SAS Savvy members for informing me about any broken links.  I am happy to replace links with more recent information or include member links for easy reference.

  • 25 Jul 2017 7:16 AM
    Reply # 4993851 on 4928610
    Anonymous member (Administrator)

    Quote from UCSD online CDISC student, 'Thank you very much, Professor Gupta, your slides and lecture presentations are excellent and help me a lot to do the assignments.', Sincerely, Sophie


  • 29 Jul 2017 7:48 AM
    Reply # 5001666 on 4928610
    Anonymous member (Administrator)

    On the common faq page, I added an alternative method to transposing your dataset without using PROC TRANSPOSE.  See if it makes sense to you.


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