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    <title>topic Re: SAS Enterprise Miner Interview Question in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241851#M3549</link>
    <description>&lt;P&gt;Babloo,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For someone with 1 year experience in Enterprise Miner and data mining, I would expect you to know:&lt;/P&gt;
&lt;P&gt;-some best practices like data partition and using imputation only when needed&lt;/P&gt;
&lt;P&gt;-how to avoid overtraining or overfitting a model&lt;/P&gt;
&lt;P&gt;-how to use decisions and priors for oversampling or train a model with rare events&lt;/P&gt;
&lt;P&gt;-how to interpret the results from the most common modeling nodes&lt;/P&gt;
&lt;P&gt;-to explain in simple terms most plots and fit statistics on the model comparison node&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;After using EM for a year, you should be able to get the &lt;A href="http://support.sas.com/training/elearn/multiuser/ecpmpe.html" target="_self"&gt;certification predictive modeling using SAS Enterprise Miner&lt;/A&gt;. Any of the questions or general cases seem like fair game for an interview. My go-to advice for prepping that exam is to read the appendix cases of the course Applied Analytics Using SAS Enterprise Miner.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For someone with more experience you should be able to&lt;/P&gt;
&lt;P&gt;-know how to use the SAS code node using macro variables&lt;/P&gt;
&lt;P&gt;-build custom reports directly on EM&lt;/P&gt;
&lt;P&gt;-have a notion of batch code, deploying, and monitoring models&lt;/P&gt;
&lt;P&gt;-design advanced diagrams for complex tasks such as deep learning or&amp;nbsp;complex ensembles.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Good luck in your interview!&lt;/P&gt;
&lt;P&gt;-M&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 05 Jan 2016 16:09:30 GMT</pubDate>
    <dc:creator>M_Maldonado</dc:creator>
    <dc:date>2016-01-05T16:09:30Z</dc:date>
    <item>
      <title>SAS Enterprise Miner Interview Question</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241638#M3546</link>
      <description>&lt;P&gt;I was looking for interview questions on SAS Enterprise Miner. Just I want to know the exceptations from employers to SAS EM beginner. I do understand that it depends on the requirement , but I would like to know the things which I should know when apply for SAS EM developer for 1year experience.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks in advance for any help you offer me.&lt;/P&gt;</description>
      <pubDate>Mon, 04 Jan 2016 13:29:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241638#M3546</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2016-01-04T13:29:08Z</dc:date>
    </item>
    <item>
      <title>Re: SAS Enterprise Miner Interview Question</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241851#M3549</link>
      <description>&lt;P&gt;Babloo,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For someone with 1 year experience in Enterprise Miner and data mining, I would expect you to know:&lt;/P&gt;
&lt;P&gt;-some best practices like data partition and using imputation only when needed&lt;/P&gt;
&lt;P&gt;-how to avoid overtraining or overfitting a model&lt;/P&gt;
&lt;P&gt;-how to use decisions and priors for oversampling or train a model with rare events&lt;/P&gt;
&lt;P&gt;-how to interpret the results from the most common modeling nodes&lt;/P&gt;
&lt;P&gt;-to explain in simple terms most plots and fit statistics on the model comparison node&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;After using EM for a year, you should be able to get the &lt;A href="http://support.sas.com/training/elearn/multiuser/ecpmpe.html" target="_self"&gt;certification predictive modeling using SAS Enterprise Miner&lt;/A&gt;. Any of the questions or general cases seem like fair game for an interview. My go-to advice for prepping that exam is to read the appendix cases of the course Applied Analytics Using SAS Enterprise Miner.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For someone with more experience you should be able to&lt;/P&gt;
&lt;P&gt;-know how to use the SAS code node using macro variables&lt;/P&gt;
&lt;P&gt;-build custom reports directly on EM&lt;/P&gt;
&lt;P&gt;-have a notion of batch code, deploying, and monitoring models&lt;/P&gt;
&lt;P&gt;-design advanced diagrams for complex tasks such as deep learning or&amp;nbsp;complex ensembles.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Good luck in your interview!&lt;/P&gt;
&lt;P&gt;-M&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 05 Jan 2016 16:09:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241851#M3549</guid>
      <dc:creator>M_Maldonado</dc:creator>
      <dc:date>2016-01-05T16:09:30Z</dc:date>
    </item>
    <item>
      <title>Re: SAS Enterprise Miner Interview Question</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241912#M3550</link>
      <description>Are you familiar with KD nuggets? They just posted an interesting list of 20 interview questions.&lt;BR /&gt;&lt;A href="http://www.kdnuggets.com/2016/01/20-questions-to-detect-fake-data-scientists.html" target="_blank"&gt;http://www.kdnuggets.com/2016/01/20-questions-to-detect-fake-data-scientists.html&lt;/A&gt;</description>
      <pubDate>Tue, 05 Jan 2016 20:51:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Enterprise-Miner-Interview-Question/m-p/241912#M3550</guid>
      <dc:creator>M_Maldonado</dc:creator>
      <dc:date>2016-01-05T20:51:56Z</dc:date>
    </item>
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