{"id":78941,"date":"2021-02-04T05:49:10","date_gmt":"2021-02-04T04:49:10","guid":{"rendered":"https:\/\/netmind.net\/en\/?post_type=product&amp;p=78941"},"modified":"2021-11-15T06:12:51","modified_gmt":"2021-11-15T11:12:51","slug":"python-for-data-science","status":"publish","type":"product","link":"https:\/\/netmind.net\/en\/formacion\/data-analytics-en-2\/python-for-data-science\/","title":{"rendered":"Python for Data Science"},"content":{"rendered":"<h2>Introduction<\/h2>\n<p>This course aims to cover the fundamentals of data science and develop a practical competency oriented to solve real problems using Python as a language. It seeks to correctly structure knowledge about algorithms and associated techniques to deliver automated data-driven business solutions.<\/p>\n<h2>Objectives<\/h2>\n<p>At the end of the course, students will have the basic notions of the following concepts and will know how to use the Python language to solve real problems:<\/p>\n<ul>\n<li>What exactly is (and what is not) data science<\/li>\n<li>The main differences and uses of supervised and unsupervised learning.<\/li>\n<li>How to correctly orient a data project<\/li>\n<li>The main classification and regression algorithms<\/li>\n<li>The primary clustering and recommender algorithms<\/li>\n<li>How to improve and optimize Machine Learning models<\/li>\n<li>The use of simulation in data science<\/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 science, and plan to use the Python programming language.<\/p>\n<h2>Prerequisites<\/h2>\n<p>It is recommended that students have a basic command of Python or a good level in another programming language 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>The course is face-to-face, participatory and practical. The teacher will introduce the contents through realistic problems. The participants will assimilate the knowledge through the resolution of adaptive level activities.<\/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%. They will have 30 minutes for its completion.<\/p>\n<p><em><span data-preserver-spaces=\"true\">The conditions for additional certification services are subject to the terms of the license owner or the approved certification authority.<\/span><\/em><\/p>\n<h2>Accreditation<\/h2>\n<p>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>Python for Data Science<\/h2>\n<p><strong>1. Introduction to Data Science<\/strong><\/p>\n<ul>\n<li>Differences between Data Science, Business Intelligence and Big Data<\/li>\n<li>Supervised vs. unsupervised learning<\/li>\n<li>Python data types and their particularities<\/li>\n<li>Introduction to Scikitlearn<\/li>\n<li>Data preprocessing<\/li>\n<li>Variable engineering<\/li>\n<\/ul>\n<p><strong>2. Main Regression Algorithms<\/strong><\/p>\n<ul>\n<li>Linear regression and numerical model evaluation<\/li>\n<li>Regression trees<\/li>\n<li>Random Forests<\/li>\n<li>Neural networks<\/li>\n<li>Internal, external and cross-validation<\/li>\n<\/ul>\n<p><strong>3. Main Classification Algorithms<\/strong><\/p>\n<ul>\n<li>Logistic regression and category-based model evaluation<\/li>\n<li>Classification trees<\/li>\n<li>KNN<\/li>\n<li>Support Vector Machine<\/li>\n<li>Automatic parameter selection<\/li>\n<\/ul>\n<p><strong>\u00a04. Other data science techniques<\/strong><\/p>\n<ul>\n<li>Dimensionality Reduction (PCA)<\/li>\n<li>Clustering (K-means, Hierarchical, Spectral)<\/li>\n<li>Recommenders<\/li>\n<li>Introduction to simulation<\/li>\n<\/ul>\n<p><strong>JDB 206 | JDB206 | JDB-206<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction This course aims to cover the fundamentals of data science and develop a practical competency oriented to solve real problems using Python as a language. It seeks to correctly structure knowledge about algorithms and associated techniques to deliver automated data-driven business solutions. Objectives At the end of the course, students will have the basic&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-78941","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>Python for Data Science - Netmind<\/title>\n<meta name=\"description\" content=\"With Python for Data Science you will learn the fundamentals of data science and solve real problems using Python as a language.\" \/>\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\/python-for-data-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python for Data Science\" \/>\n<meta property=\"og:description\" content=\"With Python for Data Science you will learn the fundamentals of data science and solve real problems using Python as a language.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/netmind.net\/en\/formacion\/data-analytics-en-2\/python-for-data-science\/\" \/>\n<meta property=\"og:site_name\" content=\"Netmind\" \/>\n<meta property=\"article:modified_time\" content=\"2021-11-15T11:12:51+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\\\/python-for-data-science\\\/\",\"url\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/python-for-data-science\\\/\",\"name\":\"Python for Data Science - Netmind\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/python-for-data-science\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/python-for-data-science\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/netmind.net\\\/wp-content\\\/uploads\\\/2016\\\/02\\\/imgdestacada-web-curso.jpg\",\"datePublished\":\"2021-02-04T04:49:10+00:00\",\"dateModified\":\"2021-11-15T11:12:51+00:00\",\"description\":\"With Python for Data Science you will learn the fundamentals of data science and solve real problems using Python as a language.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/python-for-data-science\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/python-for-data-science\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/netmind.net\\\/en\\\/formacion\\\/data-analytics-en-2\\\/python-for-data-science\\\/#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\\\/python-for-data-science\\\/#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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