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		<id>https://www.seancarver.org/index.php?action=history&amp;feed=atom&amp;title=Data_Science_Project_Mentoring</id>
		<title>Data Science Project Mentoring - Revision history</title>
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		<updated>2026-10-18T11:48:39Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://www.seancarver.org/index.php?title=Data_Science_Project_Mentoring&amp;diff=4044&amp;oldid=prev</id>
		<title>Carver at 22:29, 13 January 2024</title>
		<link rel="alternate" type="text/html" href="https://www.seancarver.org/index.php?title=Data_Science_Project_Mentoring&amp;diff=4044&amp;oldid=prev"/>
				<updated>2024-01-13T22:29:33Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 22:29, 13 January 2024&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;[[Image: Pexels-baseball-pitch-tima-miroshnichenko.jpg|thumb|Photo by Tima Miroshnichenko from Pexels.]]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;I am passionate about mentoring sports and other data science projects. One unique value of my business is in preparing students for careers in sports data analytics.&amp;#160; Regardless of what excites you, be it sports, or something else, I can mentor and help you design and implement data projects that will get you noticed by employers and university admission committees.&amp;#160; That said, even if you are not pursuing a career in sports, sports data projects can often be good conversation openers in interviews and with professional networking.&amp;#160; Baseball, in particular, has an enormous wealth of free data available.&amp;#160; If sports projects aren&amp;#039;t your thing, but you are interested in data, good data are available for topics that many other students, universities, and employers have a keen interest in, such as film, entertainment, and social trends.&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;I am passionate about mentoring sports and other data science projects. One unique value of my business is in preparing students for careers in sports data analytics.&amp;#160; Regardless of what excites you, be it sports, or something else, I can mentor and help you design and implement data projects that will get you noticed by employers and university admission committees.&amp;#160; That said, even if you are not pursuing a career in sports, sports data projects can often be good conversation openers in interviews and with professional networking.&amp;#160; Baseball, in particular, has an enormous wealth of free data available.&amp;#160; If sports projects aren&amp;#039;t your thing, but you are interested in data, good data are available for topics that many other students, universities, and employers have a keen interest in, such as film, entertainment, and social trends.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
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		<author><name>Carver</name></author>	</entry>

	<entry>
		<id>https://www.seancarver.org/index.php?title=Data_Science_Project_Mentoring&amp;diff=4016&amp;oldid=prev</id>
		<title>Carver: Created page with &quot;I am passionate about mentoring sports and other data science projects. One unique value of my business is in preparing students for careers in sports data analytics.  Regardl...&quot;</title>
		<link rel="alternate" type="text/html" href="https://www.seancarver.org/index.php?title=Data_Science_Project_Mentoring&amp;diff=4016&amp;oldid=prev"/>
				<updated>2024-01-11T02:51:52Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot;I am passionate about mentoring sports and other data science projects. One unique value of my business is in preparing students for careers in sports data analytics.  Regardl...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;I am passionate about mentoring sports and other data science projects. One unique value of my business is in preparing students for careers in sports data analytics.  Regardless of what excites you, be it sports, or something else, I can mentor and help you design and implement data projects that will get you noticed by employers and university admission committees.  That said, even if you are not pursuing a career in sports, sports data projects can often be good conversation openers in interviews and with professional networking.  Baseball, in particular, has an enormous wealth of free data available.  If sports projects aren&amp;#039;t your thing, but you are interested in data, good data are available for topics that many other students, universities, and employers have a keen interest in, such as film, entertainment, and social trends.&lt;/div&gt;</summary>
		<author><name>Carver</name></author>	</entry>

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