{"id":35738,"date":"2021-01-18T17:56:21","date_gmt":"2021-01-18T16:56:21","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=35738"},"modified":"2023-11-23T22:46:35","modified_gmt":"2023-11-23T21:46:35","slug":"data-science-definition","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/data-science-definition","title":{"rendered":"Data Science : Definition, Challenges and Use cases"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"35738\" class=\"elementor elementor-35738\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1db1d44 e-flex e-con-boxed e-con\" data-id=\"1db1d44\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fd13424 elementor-widget elementor-widget-heading\" data-id=\"fd13424\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Data Science is a broad, multidisciplinary field that aims to make sense of raw data. Data Science: definition, fields of application and current limits, discover everything you need to know about this complex field, which has become a priority issue for companies in all industries.<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2116946 e-flex e-con-boxed e-con\" data-id=\"2116946\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a738e0d elementor-widget elementor-widget-heading\" data-id=\"a738e0d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Data Science ? \u200b<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32fa1bb elementor-widget elementor-widget-text-editor\" data-id=\"32fa1bb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">The simplest way to define <\/span><b>Data Science<\/b><span style=\"font-weight: 400;\"> is the extraction of actionable information from raw data. This multidisciplinary field has the primary goal of identifying trends, patterns, connections and correlations in large data sets.<\/span><\/p><p><span style=\"font-weight: 400;\">Data science includes a <\/span><b>wide variety of tools and techniques<\/b><span style=\"font-weight: 400;\"> such as computer programming, predictive analysis, mathematics, statistics or artificial intelligence. Data Science now also includes <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><b>Machine Learning<\/b><\/a><\/span><span style=\"font-weight: 400;\"> algorithms.<\/span><\/p><p><span style=\"font-weight: 400;\">Today, almost all companies claim to practice Data Science in some form or another. However, the methods and approaches used may vary from one organization to another.<\/span><\/p><p><span style=\"font-weight: 400;\">Therefore, it becomes very complicated to offer a precise definition of Data Science. Especially since <\/span><b>new technologies are constantly appearing<\/b><span style=\"font-weight: 400;\"> and continually transforming this field. So, to define Data Science, the best question to ask yourself is &#8220;why ?&#8221;.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-29f50c5 e-flex e-con-boxed e-con\" data-id=\"29f50c5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c46c352 elementor-widget elementor-widget-video\" data-id=\"c46c352\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=KdgQvgE3ji4&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a9e6cc3 e-flex e-con-boxed e-con\" data-id=\"a9e6cc3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f171a6 elementor-widget elementor-widget-heading\" data-id=\"4f171a6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\"Why\" Data Science ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b9f22f elementor-widget elementor-widget-text-editor\" data-id=\"9b9f22f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data Science is <\/span><b>booming in all sectors of activity<\/b><span style=\"font-weight: 400;\"> because humanity is generating more and more data. Between 2011 and 2013, in just two years, the global volume of data has <\/span><b>increased nine-fold<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">And this explosion of Big Data has not slowed down since then. By the end of 2020, the total volume of data worldwide is expected to reach 44 zettabytes compared to less than 5 zettabytes in 2013.<\/span><\/p><p><span style=\"font-weight: 400;\">How can this phenomenon be explained ? <\/span><b>Several emerging technologies are generating data<\/b><span style=\"font-weight: 400;\">. This is the case of connected objects, social networks, smartphones, or web search engines.<\/span><\/p><p><span style=\"font-weight: 400;\">But all this data offers unprecedented <\/span><b>opportunities<\/b><span style=\"font-weight: 400;\"> for companies in all industries, research institutions or the public sector. That&#8217;s why data is often referred to as &#8220;<\/span><b>the oil of the 21st century<\/b><span style=\"font-weight: 400;\">&#8220;.<\/span><\/p><p><span style=\"font-weight: 400;\">The goal of Data Science is to exploit these data, to give them meaning. This discipline aims to explore large &#8220;lakes of data&#8221; in search of connections, trends, points of interest.<\/span><\/p><p><span style=\"font-weight: 400;\">By building on these discoveries, it is possible to create innovative new products<\/span> <span style=\"font-weight: 400;\">and services, solve real-world problems, and <\/span><b>improve performance<\/b><span style=\"font-weight: 400;\"> like never before. Data Science enables you to make decisions based on data, rather than on mere intuition. As a result, it is revolutionizing our daily lives and opening up new horizons. In short, Data Science will be a <\/span><b>key science<\/b><span style=\"font-weight: 400;\"> in the world tomorrow !<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f281338 e-flex e-con-boxed e-con\" data-id=\"f281338\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e23d02 elementor-widget elementor-widget-video\" data-id=\"7e23d02\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=i2jwZcWicSY&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c945336 e-flex e-con-boxed e-con\" data-id=\"c945336\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0fe38be elementor-widget elementor-widget-heading\" data-id=\"0fe38be\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How does Data Science work ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6215174 elementor-widget elementor-widget-text-editor\" data-id=\"6215174\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data Science covers a wide variety of disciplines and areas of expertise. Its goal, however, remains to <\/span><b>give meaning to raw Data<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">To achieve this, <\/span><a href=\"https:\/\/datascientest.com\/en\/how-to-become-a-data-scientist\"><b><span style=\"text-decoration: underline;\">Data Scientists<\/span><\/b><\/a><span style=\"font-weight: 400;\"> need skills in data engineering, mathematics, statistics, computer science, and data visualization. These skills will enable them to scan large raw data sets to <\/span><b>extract the most relevant information<\/b><span style=\"font-weight: 400;\"> and communicate it to decision makers in their organizations.<\/span><\/p><p><span style=\"font-weight: 400;\">Data Scientists also exploit artificial intelligence, particularly <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><b>Machine Learning<\/b><\/a><\/span> <span style=\"font-weight: 400;\">and <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/all-about-deep-learning\"><b>Deep Learning<\/b><\/a><\/span><span style=\"font-weight: 400;\">. These technologies are used to create models and make predictions using algorithms and various techniques.<\/span><\/p><p><span style=\"font-weight: 400;\">Data science can be broken down into <\/span><b>five stages<\/b><span style=\"font-weight: 400;\">. Each of these steps requires different techniques, tools and skills.<\/span><\/p><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data must be <\/span><b>collected and extracted<\/b><span style=\"font-weight: 400;\"> from various sources.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">This Data must be stored in a <\/span><a href=\"https:\/\/datascientest.com\/en\/data-warehouse-2\"><b><span style=\"text-decoration: underline;\">Data warehouse<\/span><\/b><\/a><span style=\"font-weight: 400;\">, cleaned and transformed so that it can be analyzed.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">At this stage, Data must <\/span><b>be processed<\/b><span style=\"font-weight: 400;\"> using data mining, clustering, classification or modeling.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The data is then <\/span><b>analyzed<\/b><span style=\"font-weight: 400;\"> using techniques such as predictive analysis, regression or text mining.<\/span><\/li><\/ol><p>\u00a0<\/p><p><span style=\"font-weight: 400;\">Finally, the last step consists of <\/span><b>communicating the information<\/b><span style=\"font-weight: 400;\"> obtained through reporting, dashboarding or data visualization.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bb20a62 e-flex e-con-boxed e-con\" data-id=\"bb20a62\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e5a64ee elementor-widget elementor-widget-video\" data-id=\"e5a64ee\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=oMBE2TeH2no&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c47489e e-flex e-con-boxed e-con\" data-id=\"c47489e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-28fc05d elementor-widget elementor-widget-heading\" data-id=\"28fc05d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How is used Data Science ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4974814 elementor-widget elementor-widget-text-editor\" data-id=\"4974814\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">There are <\/span>many varied cases of use<span style=\"font-weight: 400;\"> of Data Science. This technology is used to <strong>assist decision-making<\/strong> in companies, but also allows the automation of certain tasks.<\/span><\/p><p><span style=\"font-weight: 400;\">It is used to <\/span><b>detect anomalies<\/b> <b>or fraud<\/b><span style=\"font-weight: 400;\">. Data Science also allows classification, for example to automatically <strong>sort emails<\/strong> in your inbox. <\/span><span style=\"font-weight: 400;\">It also <\/span><b>allows prediction<\/b><span style=\"font-weight: 400;\">, for example for sales or revenues. By using it, it is possible to detect trends or patterns in data sets.<\/span><\/p><p><span style=\"font-weight: 400;\">Data Science also hides behind facial, speech or text recognition technologies. It also powers recommendation engines that can <\/span><b>suggest products or content<\/b><span style=\"font-weight: 400;\"> based on your preferences.<\/span><\/p><p><span style=\"font-weight: 400;\">From one sector of activity to another, Data Science is exploited in different ways. In the healthcare sector, data today enables a <\/span><b>better understanding of diseases<\/b><span style=\"font-weight: 400;\">, the use of preventive medicine, the invention of new treatments, or the acceleration of diagnoses.<\/span><\/p><p><span style=\"font-weight: 400;\">In logistics, Data Science helps<\/span><b> optimize routes and internal operations<\/b><span style=\"font-weight: 400;\"> in real time, taking into account factors such as weather and traffic. In finance, it allows to automate the processing of credit agreement data thanks to <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\"><b>Natural Language Processing <\/b><\/a><\/span><span style=\"font-weight: 400;\">or to detect fraud thanks to <\/span><b>Machine Learning<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Retail companies use it for <\/span><b>advertising targeting<\/b><span style=\"font-weight: 400;\"> and <\/span><b>personalized marketing<\/b><span style=\"font-weight: 400;\">. Recommendation engines, based on the analysis of consumer preferences, are used by Google for its web search engine, by streaming platforms like Netflix or Spotify, and by e-commerce companies like Amazon.<\/span><\/p><p><span style=\"font-weight: 400;\">Cybersecurity companies are turning to <\/span><b>Artificial Intelligence<\/b><span style=\"font-weight: 400;\"> (AI) and Data Science to discover new malware on a daily basis. Even autonomous cars rely on Data Science and<\/span><b> predictive analysis to adjust their speed<\/b><span style=\"font-weight: 400;\">, avoid obstacles and dangerous lane changes, or choose the fastest route.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-382c520 e-flex e-con-boxed e-con\" data-id=\"382c520\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-822d71d elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"822d71d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our Data Scientist training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f605e5 e-flex e-con-boxed e-con\" data-id=\"0f605e5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-933d613 elementor-widget elementor-widget-text-editor\" data-id=\"933d613\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Find out about our <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-courses\">training courses<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> in the different professions of Data Science such as <\/span><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\"><b><span style=\"text-decoration: underline;\">Data Scientist<\/span><\/b><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/datascientest.com\/en\/data-analyst-course\"><span style=\"text-decoration: underline;\"><b>Data Analyst<\/b><\/span><\/a><span style=\"font-weight: 400;\">, <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/data-engineer-course\"><b>Data Engineer<\/b><\/a><\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c85111d e-flex e-con-boxed e-con\" data-id=\"c85111d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bbca24e elementor-widget elementor-widget-html\" data-id=\"bbca24e\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"How is used Data Science ?\u200b\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"It is used to detect anomalies or fraud. 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What is Data Science ? \u200b The simplest way to [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":168744,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science : Definition, Challenges and Use cases<\/title>\n<meta name=\"description\" content=\"Data Science: definition, fields of application and current limits, discover everything you need to know about this complex field, which has become a priority issue for companies in all industries.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/data-science-definition\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science : Definition, Challenges and Use cases\" \/>\n<meta property=\"og:description\" content=\"Data Science is a broad, multidisciplinary field that aims to make sense of raw data. 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