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	<title>Análise de datos con Python - Historial de revisiones</title>
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	<updated>2026-10-17T06:12:54Z</updated>
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		<id>https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23709&amp;oldid=prev</id>
		<title>Joselv: /* Videos */</title>
		<link rel="alternate" type="text/html" href="https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23709&amp;oldid=prev"/>
		<updated>2025-04-28T09:50:01Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Videos&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Revisión anterior&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revisión del 09:50 28 abr 2025&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-l50&quot; &gt;Línea 50:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Línea 50:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=TcdKDmtKeRY&amp;amp;t 1 Hora aprendiendo Python para Análisis de Datos desde Cero]&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=TcdKDmtKeRY&amp;amp;t 1 Hora aprendiendo Python para Análisis de Datos desde Cero]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=Zmod-zg_VE0&amp;amp;list=PLFRK6BqDHNnKzUl4zaUT-HvVOICDo2zUn Tutorial Python | Análisis de datos]&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=Zmod-zg_VE0&amp;amp;list=PLFRK6BqDHNnKzUl4zaUT-HvVOICDo2zUn Tutorial Python | Análisis de datos]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.udemy.com/course/master-en-ciencia-de-datos-con-python Máster de especialista en Ciencia de Datos con Python]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Libros ==&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Libros ==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Joselv</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23708&amp;oldid=prev</id>
		<title>Joselv: /* Referencias */</title>
		<link rel="alternate" type="text/html" href="https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23708&amp;oldid=prev"/>
		<updated>2025-04-28T09:47:09Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Referencias&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;tr class=&quot;diff-title&quot; lang=&quot;es&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Revisión anterior&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revisión del 09:47 28 abr 2025&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-l48&quot; &gt;Línea 48:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Línea 48:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Videos ==&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Videos ==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=m6ju1mG5IEE&amp;amp;list=PL5C9QKu8AsmUK_7AEP0hSmt-8vcE8gnIB Curso Analisis de Datos con Python]&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=m6ju1mG5IEE&amp;amp;list=PL5C9QKu8AsmUK_7AEP0hSmt-8vcE8gnIB Curso Analisis de Datos con Python]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.youtube.com/watch?v=TcdKDmtKeRY&amp;amp;t&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;=5s &lt;/del&gt;1 Hora aprendiendo Python para Análisis de Datos desde Cero]&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.youtube.com/watch?v=TcdKDmtKeRY&amp;amp;t 1 Hora aprendiendo Python para Análisis de Datos desde Cero]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* []&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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 class=&quot;diffchange diffchange-inline&quot;&gt;https://www.youtube.com/watch?v=Zmod-zg_VE0&amp;amp;list=PLFRK6BqDHNnKzUl4zaUT-HvVOICDo2zUn Tutorial Python | Análisis de datos&lt;/ins&gt;]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Libros ==&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Libros ==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Joselv</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23706&amp;oldid=prev</id>
		<title>Joselv: /* Libros */</title>
		<link rel="alternate" type="text/html" href="https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23706&amp;oldid=prev"/>
		<updated>2025-04-28T09:42:57Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Libros&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;es&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Revisión anterior&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revisión del 09:42 28 abr 2025&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-l60&quot; &gt;Línea 60:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Línea 60:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.amazon.es/Python-Para-An%C3%A1lisis-Datos-Principiantes/dp/1801234418/ref=sr_1_11 Python Para el Análisis de Datos: Una Guía para Principiantes para Aprender el Análisis de Datos con la Programación Python.]&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.amazon.es/Python-Para-An%C3%A1lisis-Datos-Principiantes/dp/1801234418/ref=sr_1_11 Python Para el Análisis de Datos: Una Guía para Principiantes para Aprender el Análisis de Datos con la Programación Python.]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.amazon.es/Python-para-Inteligencia-Artificial-Principiantes/dp/B0F21CJKH2/ref=sr_1_13 Python para Inteligencia Artificial: Guía para Principiantes desde Cero: Aprende programación, análisis de datos y Machine Learning sin experiencia previa (Inteligencia Artificial Desde Cero)]&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://www.amazon.es/Python-para-Inteligencia-Artificial-Principiantes/dp/B0F21CJKH2/ref=sr_1_13 Python para Inteligencia Artificial: Guía para Principiantes desde Cero: Aprende programación, análisis de datos y Machine Learning sin experiencia previa (Inteligencia Artificial Desde Cero)]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Python-para-ciencia-datos-principiantes/dp/1801655561/ref=sr_1_45 Python para la ciencia de los datos: La guía definitiva para aprender ciencia de datos, análisis de datos, aprendizaje automático y análisis de datos para principiantes con ejercicios paso a paso]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Python-Data-Analysis-Wrangling-Jupyter-dp-109810403X/dp/109810403X/ref=dp_ob_title_bk Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/DataSavvy-Iniciate-An%C3%A1lisis-Datos-Python/dp/9874946695/ref=sr_1_43 DataSavvy: Iniciate en el Análisis de Datos con Python]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Bootcamp-An%C3%A1lisis-Datos-Python-Matplotlib-ebook/dp/B0CHPPD6B4/ref=sr_1_41 Bootcamp de Análisis de Datos con Python: Dominando Pandas y Matplotlib]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Temas-an%C3%A1lisis-datos-Python-hazlewood/dp/B0C1J2MNM1/ref=sr_1_37 Temas de análisis de datos de Python]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Ciencia-datos-desde-Segunda-edici%C3%B3n/dp/8441547203/ref=sr_1_28 Ciencia de datos desde cero. Segunda edición: Principios básicos con Python]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/An%C3%A1lisis-Datos-Python-Science-Nivel-ebook/dp/B0D2WXZWMZ/ref=sr_1_24 Análisis de Datos con Python: Data Science Nivel 1]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/An%C3%A1lisis-datos-Python-para-novatos-ebook/dp/B08JHGRMX5/ref=sr_1_25 Análisis de datos de Python para novatos: numpy/pandas/matplotlib/sklearn/keras]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;/table&gt;</summary>
		<author><name>Joselv</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23705&amp;oldid=prev</id>
		<title>Joselv en 09:28 28 abr 2025</title>
		<link rel="alternate" type="text/html" href="https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23705&amp;oldid=prev"/>
		<updated>2025-04-28T09:28:39Z</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;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Revisión anterior&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revisión del 09:28 28 abr 2025&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-l44&quot; &gt;Línea 44:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Línea 44:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;: c) Determinouse correctamente a mostra na que se ensaiará o procedemento a avaliar.&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;: c) Determinouse correctamente a mostra na que se ensaiará o procedemento a avaliar.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;: d) Realizouse unha predición e comprobouse a súa precisión e validez usando unha mostra de datos válida.&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;: d) Realizouse unha predición e comprobouse a súa precisión e validez usando unha mostra de datos válida.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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 colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;= Referencias =&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;== Videos ==&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.youtube.com/watch?v=m6ju1mG5IEE&amp;amp;list=PL5C9QKu8AsmUK_7AEP0hSmt-8vcE8gnIB Curso Analisis de Datos con Python]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.youtube.com/watch?v=TcdKDmtKeRY&amp;amp;t=5s 1 Hora aprendiendo Python para Análisis de Datos desde Cero]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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 colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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 colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;== Libros ==&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Aprende-Pandas-an%C3%A1lisis-semana-Python-ebook/dp/B0F325KT3T/ref=sr_1_1_sspa Aprende Pandas y análisis de datos en un fin de semana (Aprende Python nº 6)]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Python-an%C3%A1lisis-datos-T%C3%8DTULOS-ESPECIALES/dp/8441546835/ref=sr_1_5 Python para análisis de datos]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/An%C3%A1lisis-Python-Libros-Alberto-%C3%81lvarez/dp/B0CRGVQCXH/ref=sr_1_6 Análisis de datos con Python]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Fundamentos-del-An%C3%A1lisis-Datos-Python/dp/B0DHH859FN/ref=sr_1_7 Fundamentos del Análisis de Datos con Python: Domina Python y la Ciencia de Datos usando NumPy, Pandas, Matplotlib y Seaborn: Una guía práctica con proyectos y casos de estudio]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/An%C3%A1lisis-los-datos-Python-tarea-ebook/dp/B0CSFFVXFG/ref=sr_1_9 Análisis de los datos con Python: es una tarea fácil]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/An%C3%A1lisis-datos-Python-definitiva-aprender/dp/1708385614/ref=sr_1_10 Análisis de datos Python: La guía definitiva para aprender Análisis de datos de Python: 1]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Python-Para-An%C3%A1lisis-Datos-Principiantes/dp/1801234418/ref=sr_1_11 Python Para el Análisis de Datos: Una Guía para Principiantes para Aprender el Análisis de Datos con la Programación Python.]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; 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;* [https://www.amazon.es/Python-para-Inteligencia-Artificial-Principiantes/dp/B0F21CJKH2/ref=sr_1_13 Python para Inteligencia Artificial: Guía para Principiantes desde Cero: Aprende programación, análisis de datos y Machine Learning sin experiencia previa (Inteligencia Artificial Desde Cero)]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Joselv</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23704&amp;oldid=prev</id>
		<title>Joselv: Página creada con «== Módulo Profesional: Análise de datos con Python ==  &#039;&#039;&#039;Equivalencia en créditos ECTS:&#039;&#039;&#039; 9  &#039;&#039;&#039;Duración:&#039;&#039;&#039; 75 horas  &#039;&#039;&#039;Código:&#039;&#039;&#039; 5101  === Resultados de aprendiz…»</title>
		<link rel="alternate" type="text/html" href="https://wiki.cifprodolfoucha.es/index.php?title=An%C3%A1lise_de_datos_con_Python&amp;diff=23704&amp;oldid=prev"/>
		<updated>2025-04-28T09:06:55Z</updated>

		<summary type="html">&lt;p&gt;Página creada con «== Módulo Profesional: Análise de datos con Python ==  &amp;#039;&amp;#039;&amp;#039;Equivalencia en créditos ECTS:&amp;#039;&amp;#039;&amp;#039; 9  &amp;#039;&amp;#039;&amp;#039;Duración:&amp;#039;&amp;#039;&amp;#039; 75 horas  &amp;#039;&amp;#039;&amp;#039;Código:&amp;#039;&amp;#039;&amp;#039; 5101  === Resultados de aprendiz…»&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Página nueva&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Módulo Profesional: Análise de datos con Python ==&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Equivalencia en créditos ECTS:&amp;#039;&amp;#039;&amp;#039; 9&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Duración:&amp;#039;&amp;#039;&amp;#039; 75 horas&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Código:&amp;#039;&amp;#039;&amp;#039; 5101&lt;br /&gt;
&lt;br /&gt;
=== Resultados de aprendizaxe e criterios de avaliación ===&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;1. Manexo, limpeza e normalización de distintos tipos de datos en función do problema a resolver.&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
;Criterios de avaliación:&lt;br /&gt;
: a) Coñécense e impórtanse as librarías usadas en ciencia de datos.&lt;br /&gt;
: b) Escribiuse código que permite ler datos de distintas orixes (csv, xlsx, entre outros).&lt;br /&gt;
: c) Escribiuse código que permite exportar datos previamente lidos en ficheiros de distinto formato (csv, xlsx, entre outros).&lt;br /&gt;
: d) Escribiuse código que permite acceder a bases de datos usando librarías de ciencia de datos.&lt;br /&gt;
: e) Manéxanse seleccións, actualizacións, adicións e eliminacións de datos dunha base de datos usando as librarías de Python aplicadas á ciencia de datos.&lt;br /&gt;
: f) Realizáronse probas intermedias de verificación.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;2. Limpa e estandariza lotes de datos de forma lóxica e eficiente para o seu tratamento posterior de acordo co problema a resolver.&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
;Criterios de avaliación:&lt;br /&gt;
: a) Analizáronse os datos lidos.&lt;br /&gt;
: b) Deducíronse as operacións para normalizar e estandarizar datos en Python.&lt;br /&gt;
: c) Escribiuse código que permite limpar e estandarizar datos baseándose no problema que hai que resolver.&lt;br /&gt;
: d) Aplicáronse intervalos en series de datos para realizar agrupacións de forma coherente.&lt;br /&gt;
: e) Identificáronse os datos a converter de categóricos a numéricos.&lt;br /&gt;
: f) Escribiuse código que modifica variables categóricas en variables cuantitativas en Python.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;3. Realiza análises exploratorias en datos tendo en conta o alcance do problema a resolver.&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
;Criterios de avaliación:&lt;br /&gt;
: a) Resumíronse grandes cantidades de datos para a toma de decisións.&lt;br /&gt;
: b) Foi capaz de responder preguntas relevantes relativas aos datos.&lt;br /&gt;
: c) Recoñecéronse patróns nos datos.&lt;br /&gt;
: d) Escribiuse código en Python que permite coñecer a correlación entre variables.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;4. Desenvolve modelos en linguaxe Python dando solución ao problema exposto.&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
;Criterios de avaliación:&lt;br /&gt;
: a) Analizouse a relación entre unha variable continua e unha ou máis variables independentes mediante o axuste dunha ecuación lineal.&lt;br /&gt;
: b) Modelouse unha relación non lineal entre variables independentes e dependentes.&lt;br /&gt;
: c) Determinouse correctamente a mostra na que se ensaiará o procedemento a avaliar.&lt;br /&gt;
: d) Realizouse unha predición e comprobouse a súa precisión e validez usando unha mostra de datos válida.&lt;/div&gt;</summary>
		<author><name>Joselv</name></author>
		
	</entry>
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