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    <title>topic Analytics Thursdays Webinar Series - Data Science in Adobe Analytics Discussions</title>
    <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280916#M1698</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-size: 16px; font-family: adobe-clean, 'Helvetica Neue', Arial, sans-serif; color: #333333;"&gt;Today (August 3), we are hosting a webinar on data science.&lt;/P&gt;&lt;P style="font-size: 16px; font-family: adobe-clean, 'Helvetica Neue', Arial, sans-serif; color: #333333;"&gt;&lt;SPAN style="font-weight: inherit; font-style: inherit; font-size: 12pt; font-family: Calibri, sans-serif;"&gt;&lt;A _jive_internal="true" href="https://forums.adobe.com/external-link.jspa?url=https%3A%2F%2Fadobecustomersuccess.adobeconnect.com%2Fcsuccess" rel="nofollow" style="font-weight: inherit; font-style: inherit; font-family: inherit; color: #224466;" target="_blank"&gt;https://adobecustomersuccess.adobeconnect.com/csuccess&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 16px; font-family: adobe-clean, 'Helvetica Neue', Arial, sans-serif; color: #333333;"&gt;A recording will be posted here following the webinar. For any follow-up questions, additional comments, or requests for future webinars, feel free to use this thread to discuss.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 03 Aug 2017 13:54:24 GMT</pubDate>
    <dc:creator>Gigazelle</dc:creator>
    <dc:date>2017-08-03T13:54:24Z</dc:date>
    <item>
      <title>Analytics Thursdays Webinar Series - Data Science</title>
      <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280916#M1698</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-size: 16px; font-family: adobe-clean, 'Helvetica Neue', Arial, sans-serif; color: #333333;"&gt;Today (August 3), we are hosting a webinar on data science.&lt;/P&gt;&lt;P style="font-size: 16px; font-family: adobe-clean, 'Helvetica Neue', Arial, sans-serif; color: #333333;"&gt;&lt;SPAN style="font-weight: inherit; font-style: inherit; font-size: 12pt; font-family: Calibri, sans-serif;"&gt;&lt;A _jive_internal="true" href="https://forums.adobe.com/external-link.jspa?url=https%3A%2F%2Fadobecustomersuccess.adobeconnect.com%2Fcsuccess" rel="nofollow" style="font-weight: inherit; font-style: inherit; font-family: inherit; color: #224466;" target="_blank"&gt;https://adobecustomersuccess.adobeconnect.com/csuccess&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 16px; font-family: adobe-clean, 'Helvetica Neue', Arial, sans-serif; color: #333333;"&gt;A recording will be posted here following the webinar. For any follow-up questions, additional comments, or requests for future webinars, feel free to use this thread to discuss.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 03 Aug 2017 13:54:24 GMT</pubDate>
      <guid>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280916#M1698</guid>
      <dc:creator>Gigazelle</dc:creator>
      <dc:date>2017-08-03T13:54:24Z</dc:date>
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    <item>
      <title>Re: Analytics Thursdays Webinar Series - Data Science</title>
      <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280917#M1699</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;A href="https://marketing.adobe.com/resources/help/en_US/analytics/analysis-workspace/statistics_anomaly_detection.html" title="https://marketing.adobe.com/resources/help/en_US/analytics/analysis-workspace/statistics_anomaly_detection.html"&gt;Statistical Techniques used in Anomaly Detection&lt;/A&gt; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://marketing.adobe.com/resources/help/en_US/analytics/analysis-workspace/statistics_contribution_analysis.html" title="https://marketing.adobe.com/resources/help/en_US/analytics/analysis-workspace/statistics_contribution_analysis.html"&gt;Statistical Techniques used in Contribution Analysis&lt;/A&gt; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://marketing.adobe.com/resources/help/en_US/analytics/analysis-workspace/statistical-test.html" title="https://marketing.adobe.com/resources/help/en_US/analytics/analysis-workspace/statistical-test.html"&gt;Statistical Tests Used in Segment Comparison&lt;/A&gt; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 03 Aug 2017 14:44:47 GMT</pubDate>
      <guid>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280917#M1699</guid>
      <dc:creator>Eric_Matisoff_</dc:creator>
      <dc:date>2017-08-03T14:44:47Z</dc:date>
    </item>
    <item>
      <title>Re: Analytics Thursdays Webinar Series - Data Science</title>
      <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280918#M1700</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Posting the recording from the YT channel here in case you'd like to watch:&lt;/P&gt;&lt;P&gt;&lt;A href="https://youtu.be/VhlHyKHCVWY" title="https://youtu.be/VhlHyKHCVWY"&gt;https://youtu.be/VhlHyKHCVWY&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 02 Jan 2018 21:31:46 GMT</pubDate>
      <guid>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/analytics-thursdays-webinar-series-data-science/m-p/280918#M1700</guid>
      <dc:creator>Eric_Matisoff_</dc:creator>
      <dc:date>2018-01-02T21:31:46Z</dc:date>
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