{"id":6001,"date":"2019-10-23T00:00:00","date_gmt":"2019-10-22T22:00:00","guid":{"rendered":"https:\/\/www.tecracer.com\/uncategorized\/practical-data-science-with-amazon-sagemaker\/"},"modified":"2025-01-20T10:07:20","modified_gmt":"2025-01-20T09:07:20","slug":"practical-data-science-with-amazon-sagemaker","status":"publish","type":"post","link":"https:\/\/www.tecracer.com\/en\/training-en\/practical-data-science-with-amazon-sagemaker\/","title":{"rendered":"Practical Data Science with Amazon SageMaker"},"content":{"rendered":"<h1>Practical Data Science with Amazon SageMaker<\/h1>\n<p>current course dates can be found at the bottom of this page &#8230; company training available on request!<\/p>\n<h2>Course description<\/h2>\n<p>In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.<\/p>\n<p><img decoding=\"async\" class=\"size-full wp-image-1424 alignright\" src=\"http:\/\/www.tecracer.com\/wp-content\/uploads\/2022\/03\/AWS-Business-Essentials-150x150-1.png\" alt=\"\" width=\"150\" height=\"150\" \/><\/p>\n<h2>Course objectives<\/h2>\n<p><strong>In this course, you will learn to:<\/strong><\/p>\n<ul>\n<li>Prepare a dataset for training.<\/li>\n<li>Train and evaluate a machine learning model.<\/li>\n<li>Automatically tune a machine learning model.<\/li>\n<li>Prepare a machine learning model for production.<\/li>\n<li>Think critically about machine learning model results.<\/li>\n<\/ul>\n<h2>Intended audience<\/h2>\n<p><strong>This course is intended for:<\/strong><\/p>\n<ul>\n<li>A technical audience at an intermediate level<\/li>\n<\/ul>\n<h2>Prerequisites<\/h2>\n<p><strong>We recommend that attendees of this course have:<\/strong><\/p>\n<ul>\n<li>Working knowledge of a programming language<\/li>\n<\/ul>\n<h2>Activities<\/h2>\n<p><strong>This course includes:<\/strong><\/p>\n<ul>\n<li>Training with instructor<\/li>\n<li>Practical exercises<\/li>\n<\/ul>\n<h2>Course duration \/ Price<\/h2>\n<ul>\n<li>1 day \/ \u20ac 750.00 (excl. tax) per person (DE)<\/li>\n<\/ul>\n<h2>Course outline<\/h2>\n<ul>\n<li>Business problem: Churn prediction<\/li>\n<li>Load and display the dataset<\/li>\n<li>Assess features and determine which Amazon SageMaker algorithm to use<\/li>\n<li>Use Amazon Sagemaker to train, evaluate, and automatically tune the model<\/li>\n<li>Deploy the model<\/li>\n<li>Assess relative cost of errors<\/li>\n<\/ul>\n<p><strong>IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.<\/strong><\/p>\n<p>Course materials are in English, on request also in German (if available).<br \/>\nCourse language is German, on request also in English.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Practical Data Science with Amazon SageMaker current course dates can be found at the bottom of this page &#8230; company training available on request! Course description In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3097,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[130,129],"tags":[206,148],"class_list":["post-6001","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws-training-en","category-training-en","tag-machine-learning-en","tag-speciality-courses"],"acf":[],"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>Practical Data Science with Amazon SageMaker - tecRacer<\/title>\n<meta name=\"description\" content=\"Practical Data Science with Amazon SageMaker Training from AWS Advanced Tier Training Partner. \u2705 Learn more and book your training today!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.tecracer.com\/en\/training-en\/practical-data-science-with-amazon-sagemaker\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Practical Data Science with Amazon SageMaker\" \/>\n<meta property=\"og:description\" content=\"Practical Data Science with Amazon SageMaker Training from AWS Advanced Tier Training Partner. \u2705 Learn more and book your training today!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.tecracer.com\/en\/training-en\/practical-data-science-with-amazon-sagemaker\/\" \/>\n<meta property=\"og:site_name\" content=\"tecRacer\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/tecRacer\/\" \/>\n<meta property=\"article:published_time\" content=\"2019-10-22T22:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-20T09:07:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.tecracer.com\/wp-content\/uploads\/2022\/03\/AWS-Business-Essentials-150x150-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"150\" \/>\n\t<meta property=\"og:image:height\" content=\"150\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"wamrhein\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@tecRacer\" \/>\n<meta name=\"twitter:site\" content=\"@tecRacer\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"wamrhein\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/training-en\\\/practical-data-science-with-amazon-sagemaker\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/training-en\\\/practical-data-science-with-amazon-sagemaker\\\/\"},\"author\":{\"name\":\"wamrhein\",\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/#\\\/schema\\\/person\\\/0ee489e0cd541d826408d763647c9662\"},\"headline\":\"Practical Data Science with Amazon SageMaker\",\"datePublished\":\"2019-10-22T22:00:00+00:00\",\"dateModified\":\"2025-01-20T09:07:20+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/training-en\\\/practical-data-science-with-amazon-sagemaker\\\/\"},\"wordCount\":269,\"publisher\":{\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/training-en\\\/practical-data-science-with-amazon-sagemaker\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.tecracer.com\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/AWS-Business-Essentials-150x150-1.png\",\"keywords\":[\"Machine Learning\",\"Speciality Courses\"],\"articleSection\":[\"AWS Training\",\"Training\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/training-en\\\/practical-data-science-with-amazon-sagemaker\\\/\",\"url\":\"https:\\\/\\\/www.tecracer.com\\\/en\\\/training-en\\\/practical-data-science-with-amazon-sagemaker\\\/\",\"name\":\"Practical Data Science with Amazon SageMaker - 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