{"id":15951,"date":"2021-02-23T14:18:06","date_gmt":"2021-02-23T08:48:06","guid":{"rendered":"http:\/\/onlineappsdba.com\/?p=15951"},"modified":"2021-02-23T14:18:06","modified_gmt":"2021-02-23T08:48:06","slug":"exploratory-data-analysis-with-aws-ml","status":"publish","type":"post","link":"https:\/\/onlineappsdba.com\/index.php\/2021\/02\/23\/exploratory-data-analysis-with-aws-ml\/","title":{"rendered":"Exploratory Data Analysis with AWS Machine Learning"},"content":{"rendered":"<p><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Exploratory Data Analysis with AWS Machine Learning\\r\\n\\r\\nAccording to \u201cThe State of Data Science 2020\u201d study, exploratory data analysis (EDA), data management, feature selection, and feature engineering accounts for more than 66% of a data scientist\u2019s time.\\r\\n\\r\\nThe data analysis process involves many steps on the data, such as cleansing and transformation, to find out what hidden information the data has and how this information can help us in our decision\u2011making process.\\r\\n\\r\\nWant to know more about the Exploratory Data Analysis with AWS Machine Learning? Read the blog post at https:\/\/k21academy.com\/awsml18 to learn more. \\r\\n\\r\\nThe blog post covers:\\r\\n\u2022        What Is Data Analysis?\\r\\n\u2022        What Is Data?\\r\\n\u2022        Usage of Data Analysis\\r\\n\u2022        Types of Visualizations\\r\\n\u2022        Why Data Preparation?\\r\\n\u2022        What Is Amazon QuickSight?\\r\\n\u2022        Amazon SageMaker Data Wrangler\\r\\n\\r\\nIf you are planning to become an AWS Certified Machine Learning \u2013 Specialty Certification, then join the waitlist at https:\/\/k21academy.com\/awsml02.\\r\\n\\r\\nAlso, do not forget to join our FREE Telegram group at https:\/\/t.me\/k21amazonaws and be the first to receive AWS-related news and updates. \\r\\n\\r\\n#aws #awsmachinelearning #sagemaker #deeplearning #python #datascience #dataengineer #awscloud #amazon #cloud #awscloudplatform #aws #machinelearning #awscloudcertified #k21academy&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:1053569,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:2,&quot;11&quot;:4,&quot;12&quot;:0,&quot;15&quot;:&quot;Arial&quot;,&quot;23&quot;:1}\">According to \u201cThe State of Data Science 2020\u201d study, exploratory data analysis (EDA), data management, feature selection, and feature engineering accounts for more than 66% of a data scientist\u2019s time.<\/p>\n<p>The data analysis process involves many steps on the data, such as cleansing and transformation, to find out what hidden information the data has and how this information can help us in our decision\u2011making process.<\/p>\n<p>Want to know more about the Exploratory Data Analysis with AWS Machine Learning? Read the blog post at <a href=\"https:\/\/k21academy.com\/amazon-web-services\/aws-ml\/exploratory-data-analysis-with-aws-ml\/?utm_source=onlineappsdba&amp;utm_medium=referral&amp;utm_campaign=awsml18_feb21\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/k21academy.com\/awsml18<\/a> to learn more.<\/p>\n<p>The blog post covers:<br \/>\n\u2022 What Is Data Analysis?<br \/>\n\u2022 What Is Data?<br \/>\n\u2022 Usage of Data Analysis<br \/>\n\u2022 Types of Visualizations<br \/>\n\u2022 Why Data Preparation?<br \/>\n\u2022 What Is Amazon QuickSight?<br \/>\n\u2022 Amazon SageMaker Data Wrangler<\/p>\n<p>If you are planning to become an AWS Certified Machine Learning \u2013 Specialty Certification, then join the waitlist at <a href=\"https:\/\/k21academy.com\/aws-certified-ml-speciality-free-class-waitlist\/?utm_source=onlineappsdba&amp;utm_medium=referral&amp;utm_campaign=awsml02_feb21\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/k21academy.com\/awsml02<\/a>.<\/span><\/p>\n<p><a href=\"https:\/\/k21academy.com\/aws-certified-ml-speciality-free-class-waitlist\/?utm_source=onlineappsdba&amp;utm_medium=referral&amp;utm_campaign=awsml02_feb21\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"lazyloaded aligncenter wp-image-66224 size-full\" src=\"https:\/\/i0.wp.com\/k21academy.com\/wp-content\/uploads\/2021\/01\/AWS.gif\" alt=\"AWS\" width=\"1354\" height=\"203\" data-ll-status=\"loaded\" \/><\/a><\/p>\n<p><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Exploratory Data Analysis with AWS Machine Learning\\r\\n\\r\\nAccording to \u201cThe State of Data Science 2020\u201d study, exploratory data analysis (EDA), data management, feature selection, and feature engineering accounts for more than 66% of a data scientist\u2019s time.\\r\\n\\r\\nThe data analysis process involves many steps on the data, such as cleansing and transformation, to find out what hidden information the data has and how this information can help us in our decision\u2011making process.\\r\\n\\r\\nWant to know more about the Exploratory Data Analysis with AWS Machine Learning? Read the blog post at https:\/\/k21academy.com\/awsml18 to learn more. \\r\\n\\r\\nThe blog post covers:\\r\\n\u2022        What Is Data Analysis?\\r\\n\u2022        What Is Data?\\r\\n\u2022        Usage of Data Analysis\\r\\n\u2022        Types of Visualizations\\r\\n\u2022        Why Data Preparation?\\r\\n\u2022        What Is Amazon QuickSight?\\r\\n\u2022        Amazon SageMaker Data Wrangler\\r\\n\\r\\nIf you are planning to become an AWS Certified Machine Learning \u2013 Specialty Certification, then join the waitlist at https:\/\/k21academy.com\/awsml02.\\r\\n\\r\\nAlso, do not forget to join our FREE Telegram group at https:\/\/t.me\/k21amazonaws and be the first to receive AWS-related news and updates. \\r\\n\\r\\n#aws #awsmachinelearning #sagemaker #deeplearning #python #datascience #dataengineer #awscloud #amazon #cloud #awscloudplatform #aws #machinelearning #awscloudcertified #k21academy&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:1053569,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:2,&quot;11&quot;:4,&quot;12&quot;:0,&quot;15&quot;:&quot;Arial&quot;,&quot;23&quot;:1}\">Also, do not forget to join our FREE Telegram group at <a href=\"https:\/\/t.me\/k21amazonaws\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/t.me\/k21amazonaws<\/a> and be the first to receive AWS-related news and updates.<br \/>\n<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>According to \u201cThe State of Data Science 2020\u201d study, exploratory data analysis (EDA), data management, feature selection, and feature engineering [&hellip;]<\/p>\n","protected":false},"author":115,"featured_media":15952,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[536,562],"tags":[],"class_list":["post-15951","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-amazon-web-services","category-aws-ml"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Exploratory Data Analysis with AWS ML Overview | K21 Academy<\/title>\n<meta name=\"description\" content=\"Understanding how to deal with data is becoming a required skill in the information age. 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