<?xml version="1.0" encoding="utf-8" ?> <rss version="2.0" xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"> <channel> <title> <![CDATA[MyCC Resource Centre Search for 'su:&quot;Quantitative research&quot;']]> </title> <link> https://library.mycc.gov.my/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Quantitative%20research%22&#38;sort_by=relevance&#38;format=rss </link> <atom:link rel="self" type="application/rss+xml" href="https://library.mycc.gov.my/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Quantitative%20research%22&#38;sort_by=relevance&#38;format=rss"/> <description> <![CDATA[ Search results for 'su:&quot;Quantitative research&quot;' at MyCC Resource Centre]]> </description> <opensearch:totalResults>2</opensearch:totalResults> <opensearch:startIndex>0</opensearch:startIndex> <opensearch:itemsPerPage>50</opensearch:itemsPerPage> <atom:link rel="search" type="application/opensearchdescription+xml" href="https://library.mycc.gov.my/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Quantitative%20research%22&#38;sort_by=relevance&#38;format=opensearchdescription"/> <opensearch:Query role="request" searchTerms="q%3Dccl%3Dsu%253A%2522Quantitative%2520research%2522" startPage="" /> <item> <title> Data science / </title> <dc:identifier>ISBN:9780262535434 (pbk. : alk. paper)</dc:identifier> <link>https://library.mycc.gov.my/cgi-bin/koha/opac-detail.pl?biblionumber=207</link> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/0262535432.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Kelleher, John D.,.<br /> Cambridge, Massachusetts : The MIT Press, 2018 .<br /> xi, 264 pages : 18 cm..<br /> 9780262535434 (pbk. : alk. paper) </p> ]]> <![CDATA[ <p> <a href="https://library.mycc.gov.my/cgi-bin/koha/opac-reserve.pl?biblionumber=207">Place hold on <em>Data science /</em></a> </p> ]]> </description> <guid>https://library.mycc.gov.my/cgi-bin/koha/opac-detail.pl?biblionumber=207</guid> </item> <item> <title> Learning Microsoft Power BI : Transforming Data into Insights / </title> <dc:identifier>ISBN:9781098112844 | 1098112849</dc:identifier> <link>https://library.mycc.gov.my/cgi-bin/koha/opac-detail.pl?biblionumber=805</link> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/1098112849.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Arnold, Jeremey,.<br /> Sebastopol, CA : | ©2022 O'Reilly Media, Inc., 2022 .<br /> xv, 290 pages : , Includes index. 24 cm.<br /> 9781098112844 | 1098112849 </p> ]]> <![CDATA[ <p> <a href="https://library.mycc.gov.my/cgi-bin/koha/opac-reserve.pl?biblionumber=805">Place hold on <em>Learning Microsoft Power BI :</em></a> </p> ]]> </description> <guid>https://library.mycc.gov.my/cgi-bin/koha/opac-detail.pl?biblionumber=805</guid> </item> </channel> </rss>
