{"id":79262,"date":"2021-02-04T07:02:39","date_gmt":"2021-02-04T06:02:39","guid":{"rendered":"https:\/\/netmind.net\/en\/?post_type=product&amp;p=79262"},"modified":"2021-11-15T07:54:06","modified_gmt":"2021-11-15T12:54:06","slug":"data-analytics-with-python","status":"publish","type":"product","link":"https:\/\/netmind.net\/en\/formacion\/data-analytics-en-2\/data-analytics-with-python\/","title":{"rendered":"Data Analytics with Python"},"content":{"rendered":"<h2>Introduction<\/h2>\n<p>The aim of this course is to teach how to use the Python language practically and efficiently to summarize, analyze, and visualize data sets. Using real cases, students will acquire the skills to extract knowledge from data and guide business decisions based on them.<\/p>\n<h2>Objectives<\/h2>\n<p>At the end of the course, students will be able to use the Python language to:<\/p>\n<ul>\n<li>Load and export data from different sources.<\/li>\n<li>Exploit datasets and extract information from them.<\/li>\n<li>Choose the proper analysis for each situation.<\/li>\n<li>Visualize complex data effectively.<\/li>\n<li>Create interactive visualizations.<\/li>\n<\/ul>\n<h2>Student profile<\/h2>\n<p>This course is designed for all types of professionals who wish to learn how to implement business solutions based on data analytics or data summarization, and plan to use Python programming language.<\/p>\n<h2>Prerequisites<\/h2>\n<p>It is recommended that students have a basic knowledge of Python or a good level of other programming languages such as Java, R, C++&#8230;<\/p>\n<h2>Course Materials<\/h2>\n<p>Students will receive a copy of the documentation prepared by BIT by Netmind.<\/p>\n<h2>Methodology<\/h2>\n<p>This is an active and participatory course through demonstrations, practical exercises and user analysis of all theoretical topics taught by the trainer in order to address real cases of the related product.<\/p>\n<h2>Certification<\/h2>\n<p>The evaluation is continuous, based on group and individual activities. The trainer will give constant feedback to each participant.<\/p>\n<p>During the course, participants will complete an evaluation test that they must pass with more than 70% of correct answers. They will have 30 minutes for its completion.<\/p>\n<p><em>The conditions for additional certification services are subject to the terms of the license owner or the approved certification authority.<\/em><\/p>\n<h2>Accreditation<\/h2>\n<p>In addition, a Certificate of Attendance will be issued only to students with an attendance of more than 75% and a Diploma of Achievement if they also pass the evaluation test.<\/p>\n<h2>Data Analytics with Python<\/h2>\n<p><strong>1. Introduction to Business Intelligence<\/strong><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Objectives of data analytics and business intelligence<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Description vs. prediction<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Data sources<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Import and export<\/span><\/li>\n<\/ul>\n<p><strong>2. Basic data analytics<\/strong><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Types of data<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Fundamental concepts of statistics<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Decision making and value generation<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Learning to read complex data<\/span><\/li>\n<\/ul>\n<p><strong>3. Data exploitation<\/strong><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Transformations and manipulation of data<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Data summaries<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Groupings and house functions<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Data cleansing<\/span><\/li>\n<\/ul>\n<p><strong>4. Data visualization<\/strong><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Introduction to matplotlib package (graphics)<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Types of charts<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Customizing and exporting charts<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Creating charts that add value<\/span><\/li>\n<\/ul>\n<p><strong>5. Advanced visualization<\/strong><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Introduction to the plotly package (interactive graphics)<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Formatting interactive graphics<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Viewing maps<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Adding controls and buttons<\/span><\/li>\n<\/ul>\n<p><strong>JDB 210 | JDB210 | JDB-210<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction The aim of this course is to teach how to use the Python language practically and efficiently to summarize, analyze, and visualize data sets. Using real cases, students will acquire the skills to extract knowledge from data and guide business decisions based on them. Objectives At the end of the course, students will be&hellip;<\/p>\n","protected":false},"featured_media":22116456,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[22000956],"product_tag":[],"best_practice":[22001387,22001388],"class_list":{"0":"post-79262","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-data-analytics-en-2","7":"best_practice-data-driven-mindset-en","8":"best_practice-python-en","9":"description-off","11":"first","12":"instock","13":"virtual","14":"sold-individually","15":"taxable","16":"product-type-course"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Data Analytics with Python - Netmind<\/title>\n<meta name=\"description\" content=\"With Data Analytics with Python you will learn how to use the Python language in a practical and efficient way to summarize, analyze and visualize data sets.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/netmind.net\/en\/formacion\/data-analytics-en-2\/data-analytics-with-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Analytics with Python\" \/>\n<meta property=\"og:description\" content=\"With Data Analytics with Python you will learn how to use the Python language in a practical and efficient way to summarize, analyze and visualize data sets.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/netmind.net\/en\/formacion\/data-analytics-en-2\/data-analytics-with-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Netmind\" \/>\n<meta property=\"article:modified_time\" content=\"2021-11-15T12:54:06+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/netmind.net\/wp-content\/uploads\/2016\/02\/imgdestacada-web-curso.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1250\" \/>\n\t<meta property=\"og:image:height\" content=\"1250\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/\",\"url\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/\",\"name\":\"Data Analytics with Python - Netmind\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/netmind.net\\\/wp-content\\\/uploads\\\/2016\\\/02\\\/imgdestacada-web-curso.jpg\",\"datePublished\":\"2021-02-04T06:02:39+00:00\",\"dateModified\":\"2021-11-15T12:54:06+00:00\",\"description\":\"With Data Analytics with Python you will learn how to use the Python language in a practical and efficient way to summarize, analyze and visualize data sets.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/#primaryimage\",\"url\":\"https:\\\/\\\/netmind.net\\\/wp-content\\\/uploads\\\/2016\\\/02\\\/imgdestacada-web-curso.jpg\",\"contentUrl\":\"https:\\\/\\\/netmind.net\\\/wp-content\\\/uploads\\\/2016\\\/02\\\/imgdestacada-web-curso.jpg\",\"width\":1250,\"height\":1250},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/data-analytics-with-python\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/netmind.net\\\/en\\\/home-3\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Formaciones\",\"item\":\"https:\\\/\\\/netmind.net\\\/en\\\/shop\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Data &amp; 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