{"id":35738,"date":"2021-01-18T17:56:21","date_gmt":"2021-01-18T16:56:21","guid":{"rendered":"https:\/\/multi.liora.io\/?p=35738"},"modified":"2026-02-26T07:42:00","modified_gmt":"2026-02-26T06:42:00","slug":"data-science-definition","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/data-science-definition","title":{"rendered":"Data Science : Definition, Challenges and Use cases"},"content":{"rendered":"\n<p><strong>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.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-data-science\">What is Data Science ? \u200b<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/8\/2021\/12\/Infographie.png\" alt=\"\" \/><\/figure>\n\n\n\n<p>The simplest way to define <b>Data Science<\/b> 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. Data science includes a <b>wide variety of tools and techniques<\/b> such as computer programming, predictive analysis, mathematics, statistics or artificial intelligence. Data Science now also includes <a href=\"https:\/\/liora.io\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\">Machine Learning<\/a> algorithms.<\/p>\n\n\n\n<p>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. Therefore, it becomes very complicated to offer a precise definition of Data Science. Especially since <b>new technologies are constantly appearing<\/b> and continually transforming this field. So, to define Data Science, the best question to ask yourself is &#8220;why ?&#8221;.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Data Science in 8 Minutes | Data Science for Beginners | What is Data Science? | Edureka\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/KdgQvgE3ji4?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-why-data-science\">&#8220;Why&#8221; Data Science ?<\/h2>\n\n\n\n<p>Data Science is <b>booming in all sectors of activity<\/b> because humanity is generating more and more data. Between 2011 and 2013, in just two years, the global volume of data has <b>increased nine-fold<\/b>. 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.<\/p>\n\n\n\n<p>How can this phenomenon be explained ? <b>Several emerging technologies are generating data<\/b>. This is the case of connected objects, social networks, smartphones, or web search engines. But all this data offers unprecedented <b>opportunities<\/b> for companies in all industries, research institutions or the public sector. That&#8217;s why data is often referred to as &#8220;<b>the oil of the 21st century<\/b>&#8220;.<\/p>\n\n\n\n<p>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. By building on these discoveries, it is possible to create innovative new products and services, solve real-world problems, and <b>improve performance<\/b> 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 <b>key science<\/b> in the world tomorrow !<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"The Data Scientist - 60 Second Data Science\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/i2jwZcWicSY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-does-data-science-work\">How does Data Science work ?<\/h2>\n\n\n\n<p>Data Science covers a wide variety of disciplines and areas of expertise. Its goal, however, remains to <b>give meaning to raw Data<\/b>.<\/p>\n\n\n\n<p>To achieve this, <a href=\"https:\/\/liora.io\/en\/how-to-become-a-data-scientist\">Data Scientists<\/a> need skills in data engineering, mathematics, statistics, computer science, and data visualization. These skills will enable them to scan large raw data sets to <b>extract the most relevant information<\/b> and communicate it to decision makers in their organizations.<\/p>\n\n\n\n<p>Data Scientists also exploit artificial intelligence, particularly <a href=\"https:\/\/liora.io\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\">Machine Learning<\/a> and <a href=\"https:\/\/liora.io\/en\/all-about-deep-learning\">Deep Learning<\/a>. These technologies are used to create models and make predictions using algorithms and various techniques.<\/p>\n\n\n\n<p>Data science can be broken down into <b>five stages<\/b>. Each of these steps requires different techniques, tools and skills.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Data must be <b>collected and extracted<\/b> from various sources.<\/li>\n\n\n\n<li>This Data must be stored in a <a href=\"https:\/\/liora.io\/en\/data-warehouse-2\">Data warehouse<\/a>, cleaned and transformed so that it can be analyzed.&nbsp;<\/li>\n\n\n\n<li>At this stage, Data must <b>be processed<\/b> using data mining, clustering, classification or modeling.<\/li>\n\n\n\n<li>The data is then <b>analyzed<\/b> using techniques such as predictive analysis, regression or text mining.<\/li>\n<\/ol>\n\n\n\n<p>Finally, the last step consists of <b>communicating the information<\/b> obtained through reporting, dashboarding or data visualization.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"What is Data Science?\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/oMBE2TeH2no?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-is-used-data-science\">How is used Data Science ?<\/h2>\n\n\n\n<p>There are many varied cases of use of Data Science. This technology is used to <strong>assist decision-making<\/strong> in companies, but also allows the automation of certain tasks. It is used to <b>detect anomalies<\/b> <b>or fraud<\/b>. Data Science also allows classification, for example to automatically <strong>sort emails<\/strong> in your inbox. It also <b>allows prediction<\/b>, for example for sales or revenues. By using it, it is possible to detect trends or patterns in data sets.<\/p>\n\n\n\n<p>Data Science also hides behind facial, speech or text recognition technologies. It also powers recommendation engines that can <b>suggest products or content<\/b> based on your preferences. From one sector of activity to another, Data Science is exploited in different ways. In the healthcare sector, data today enables a <b>better understanding of diseases<\/b>, the use of preventive medicine, the invention of new treatments, or the acceleration of diagnoses.<\/p>\n\n\n\n<p>In logistics, Data Science helps<b> optimize routes and internal operations<\/b> 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 <a href=\"https:\/\/liora.io\/introduction-au-nlp-natural-language-processing\">Natural Language Processing <\/a>or to detect fraud thanks to <b>Machine Learning<\/b>.<\/p>\n\n\n\n<p>Retail companies use it for <b>advertising targeting<\/b> and <b>personalized marketing<\/b>. 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.<\/p>\n\n\n\n<p>Cybersecurity companies are turning to <b>Artificial Intelligence<\/b> (AI) and Data Science to discover new malware on a daily basis. Even autonomous cars rely on Data Science and<b> predictive analysis to adjust their speed<\/b>, avoid obstacles and dangerous lane changes, or choose the fastest route.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\" style=\"margin-top:var(--wp--preset--spacing--columns);margin-bottom:var(--wp--preset--spacing--columns)\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/liora.io\/en\/courses\/data-ai\/data-scientist\">Discover our Data Scientist training<\/a><\/div>\n<\/div>\n\n\n\n<p>Find out about our <strong><a href=\"\/en\/courses\/data-ai\/\">training courses<\/a><\/strong> in the different professions of Data Science such as <a href=\"\/en\/courses\/data-ai\/data-scientist\"><b>Data Scientist<\/b><\/a>, <a href=\"\/en\/courses\/data-ai\/data-analyst\"><b>Data Analyst<\/b><\/a>, <a href=\"\/en\/courses\/data-ai\/data-engineer\"><b>Data Engineer<\/b><\/a>.<\/p>\n\n\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is Data Science?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What are the main components of Data Science?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Data Science combines mathematics, statistics, programming, and domain expertise to analyze and interpret complex datasets.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What tools are used in Data Science?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Common Data Science tools include programming languages such as Python and R, as well as libraries and platforms for data analysis, visualization, and machine learning.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Why is Data Science important?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Data Science is important because it helps organizations make data-driven decisions, optimize processes, and gain competitive advantages through actionable insights.\"\n      }\n    }\n  ]\n}\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>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. What is Data Science ? \u200b The simplest way to [&hellip;]<\/p>\n","protected":false},"author":55,"featured_media":208094,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-35738","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/35738","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/55"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=35738"}],"version-history":[{"count":4,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/35738\/revisions"}],"predecessor-version":[{"id":208096,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/35738\/revisions\/208096"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/208094"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=35738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=35738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}