<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sat, 31 Oct 2026 08:11:23 GMT</lastBuildDate><atom:link href="https://ecency.com/@datasciencemark/rss" rel="self" type="application/rss+xml"/><item><title><![CDATA[Unlocking insights with IBM Cognos Analytics: A Data Science Student's Perspective]]></title><description><![CDATA[In the ever-changing landscape of data science and business intelligence, tools that empower professionals in data science are helpful. IBM Cognos Analytics is a friend or can even be the best friend of]]></description><link>https://ecency.com/@datasciencemark/unlocking-insights-with-ibm-cognos-analytics-a-data-science-student-s-perspective</link><guid isPermaLink="true">https://ecency.com/@datasciencemark/unlocking-insights-with-ibm-cognos-analytics-a-data-science-student-s-perspective</guid><category><![CDATA[honouree]]></category><dc:creator><![CDATA[datasciencemark]]></dc:creator><pubDate>Thu, 05 Oct 2023 08:55:30 GMT</pubDate></item><item><title><![CDATA[Assignment 2]]></title><description><![CDATA[Section 2: In this section, we talked about contingency tables, measures of distribution, measures of variation, and distribution visualization. The contingency table talks about representing relationships]]></description><link>https://ecency.com/@datasciencemark/assignment</link><guid isPermaLink="true">https://ecency.com/@datasciencemark/assignment</guid><category><![CDATA[honouree]]></category><dc:creator><![CDATA[datasciencemark]]></dc:creator><pubDate>Mon, 28 Aug 2023 22:49:48 GMT</pubDate></item><item><title><![CDATA[Assignment 1]]></title><description><![CDATA[During our session on August 17, we learned about the fundamentals of Business Analytics, including sublessons such as data selection, filtering, sorting, and utilizing formulas for data manipulation and]]></description><link>https://ecency.com/@datasciencemark/assig</link><guid isPermaLink="true">https://ecency.com/@datasciencemark/assig</guid><category><![CDATA[honouree]]></category><dc:creator><![CDATA[datasciencemark]]></dc:creator><pubDate>Wed, 23 Aug 2023 15:53:09 GMT</pubDate></item></channel></rss>