{"id":25524060,"date":"2022-05-13T00:59:30","date_gmt":"2022-05-12T19:29:30","guid":{"rendered":"https:\/\/entri.app\/blog\/?p=25524060"},"modified":"2024-05-21T18:25:43","modified_gmt":"2024-05-21T12:55:43","slug":"data-science-tools-high-demand","status":"publish","type":"post","link":"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/","title":{"rendered":"Data Science Tools High Demand in 2024"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69d33b2176d75\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69d33b2176d75\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#Introduction_to_Data_Science\" >Introduction to Data Science<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#Top_Data_Science_Tools\" >Top Data Science Tools<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#Summary\" >Summary<\/a><\/li><\/ul><\/nav><\/div>\n<div class=\"clear\">\n<p>A Data Scientist is responsible for extracting, manipulating, pre-processing and generating predictions out of data. In order to do so, he requires various statistical tools and programming languages.<\/p>\n<\/div>\n<div>In this article, we will learn about some of the Data Science Tools used by Data Scientists to carry out their data operations. We will understand the key features of the tools, benefits they provide and comparison of various data science tools.<\/div>\n<div class=\"entry themeform fittexted_for_entry\">\n<div class=\"entry-inner\">\n<h2 class=\"fittexted_for_content_h3\"><span class=\"ez-toc-section\" id=\"Introduction_to_Data_Science\"><\/span><strong>Introduction to Data Science<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Data Science has emerged out as one of the most popular fields of 21st Century.<\/p>\n<div id=\"5206c798-fef9-4b8e-a6c2-5f21573f3a19\" class=\"_ap_apex_ad\" data-section=\"5206c798-fef9-4b8e-a6c2-5f21573f3a19\" data-xpath=\"\" data-section-id=\"2\" data-ap-network=\"custom\">\n<div>\n<div id=\"00000001-629473fe-9db4-4a10-b959-1d964a02a2c4\" class=\"_ap_apex_ad\" data-section=\"00000001-629473fe-9db4-4a10-b959-1d964a02a2c4\" data-orig-id=\"034e7a7d-a878-4b88-8398-ccb2bc8dd504\" data-render-time=\"1652370843233\" data-ap-network=\"adpTags\" data-refresh-time=\"1652370869560\" data-timeout=\"252\">\n<div id=\"ADP_41212_336x280_00000001-629473fe-9db4-4a10-b959-1d964a02a2c4\" data-google-query-id=\"CKL184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22659419701_0__container__\">Data Scientists work as decision-makers and are largely responsible for analyzing and handling a large amount of unstructured and structured data.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>In order to do so, he requires various tools and<strong>\u00a0<a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\">programming languages for Data Science<\/a> to mend the day<\/strong>\u00a0in the way he wants. We will go through some of these data science tools utilizes to analyze and generate predictions.<\/p>\n<h2 class=\"fittexted_for_content_h3\"><span class=\"ez-toc-section\" id=\"Top_Data_Science_Tools\"><\/span><strong>Top Data Science Tools<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Here is the list of 14 best data science tools that most of the data scientists used.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>1. SAS<\/strong><\/h3>\n<p>SAS are specifically designed for statistical operations. SAS is a closed source proprietary software that is used by large organizations to analyze data. SAS uses base SAS programming language for performing statistical modeling.<\/p>\n<div id=\"ab911b54-98d1-479b-9da7-8067456181a3\" class=\"_ap_apex_ad\" data-section=\"ab911b54-98d1-479b-9da7-8067456181a3\" data-xpath=\"\" data-section-id=\"4\" data-ap-network=\"adpTags\" data-render-time=\"1652370843172\" data-refresh-time=\"1652370870085\" data-timeout=\"313\">\n<div id=\"ADP_41212_970X250_ab911b54-98d1-479b-9da7-8067456181a3\" data-google-query-id=\"CI7184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22670598206_0__container__\">It is widely used by professionals and companies working on reliable commercial software. SAS offers numerous statistical libraries and tools that a Data Scientist can use for modeling and organizing their data.<\/div>\n<\/div>\n<\/div>\n<p>While SAS is highly reliable and has strong support from the company, it is highly expensive and is only used by larger industries.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>2. Apache Spark<\/strong><\/h3>\n<p>Apache Spark\u00a0or simply Spark is an all-powerful analytics engine and it is the most used Data Science tool. Spark is specifically designed to handle batch processing and\u00a0Stream Processing.<\/p>\n<p>It comes with many APIs that facilitate Data Scientists to make repeated access to data for Machine Learning, Storage in SQL, etc. It is an improvement over Hadoop and can perform 100 times faster than MapReduce.<\/p>\n<div id=\"5a14c3db-a3df-4f2a-a54a-e650ccd04a62\" class=\"_ap_apex_ad\" data-section=\"5a14c3db-a3df-4f2a-a54a-e650ccd04a62\" data-xpath=\"\" data-section-id=\"6\" data-ap-network=\"adpTags\" data-render-time=\"1652370843177\">\n<div id=\"ADP_41212_970X250_5a14c3db-a3df-4f2a-a54a-e650ccd04a62\" data-google-query-id=\"CI_184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22670598209_0__container__\">Spark has many Machine Learning APIs that can help Data Scientists to make powerful predictions with the given data.<\/div>\n<\/div>\n<\/div>\n<p>Spark does better than other Big Data Platforms in its ability to handle streaming data. This means that\u00a0Spark can process real-time data\u00a0as compared to other analytical tools that process only historical data in batches.<\/p>\n<p>Spark offers various APIs that are programmable in Python, Java, and R.<\/p>\n<p>Spark is highly efficient in cluster management which makes it much better than Hadoop as the latter is only used for storage. It is this cluster management system that allows Spark to process applications at a high speed.<\/p>\n<p style=\"text-align: center;\"><strong><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\">Looking for a Data Science Career? Get a Free Demo<\/a><\/strong><\/p>\n<div id=\"4b73d265-fd73-414c-86f0-640152493bb8\" class=\"_ap_apex_ad\" data-section=\"4b73d265-fd73-414c-86f0-640152493bb8\" data-xpath=\"\" data-section-id=\"8\" data-ap-network=\"adpTags\" data-render-time=\"1652370843180\" data-refresh-time=\"1652370872052\" data-timeout=\"468\">\n<div id=\"ADP_41212_970X250_4b73d265-fd73-414c-86f0-640152493bb8\" data-google-query-id=\"CJD184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22670598212_0__container__\"><strong style=\"color: #1d1f20; font-size: 1.563em;\">3. BigML<\/strong><\/div>\n<\/div>\n<\/div>\n<p>BigML is another widely used Data Science Tool. It provides a fully interactable, cloud-based GUI environment that you can use for processing Machine Learning Algorithms. BigML provides standardized software using cloud computing for industry requirements.<\/p>\n<p>Through it, companies can use Machine Learning algorithms across various parts of their company.<\/p>\n<p>BigML specializes in predictive modeling. It uses a wide variety of Machine Learning algorithms like clustering, classification, time-series forecasting, etc.\u00a0It allows interactive visualizations of data and provides you with the ability to export visual charts on your mobile or IOT devices.<\/p>\n<p>Furthermore, BigML comes with various automation methods that can help you to automate the tuning of hyperparameter models and even automate the workflow of reusable scripts.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>4. D3.js<\/strong><\/h3>\n<p>Javascript is mainly used as a client-side scripting language. D3.js, a Javascript library that allows you to make interactive visualizations on your web-browser. With several APIs of D3.js, you can use several functions to create dynamic visualization and analysis of data in your browser.<\/p>\n<p>Another powerful feature of D3.js is the usage of animated transitions. D3.js makes documents dynamic by allowing updates on the client side and actively using the change in data to reflect visualizations on the browser.<\/p>\n<p>Overall, it can be a very useful tool for Data Scientists who are working on\u00a0IOT based devices\u00a0that require client-side interaction for visualization and data processing.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>5. MATLAB<\/strong><\/h3>\n<p>MATLAB is a numerical computing environment for processing mathematical information. It is a closed-source software that facilitates matrix functions, algorithmic implementation and statistical modeling of data. MATLAB is most widely used in several scientific disciplines.<\/p>\n<p>In Data Science, MATLAB is used for simulating\u00a0neural networks\u00a0and fuzzy logic. Using the MATLAB graphics library, you can create powerful visualizations. MATLAB is also used in image and signal processing.<\/p>\n<p>This makes it a very versatile tool for Data Scientists as they can tackle all the problems, from data cleaning and analysis to more advanced\u00a0Deep Learning\u00a0algorithms.<\/p>\n<p>Furthermore, MATLAB\u2019s easy integration for enterprise applications and embedded systems make it an ideal Data Science tool.<\/p>\n<div id=\"4ffede82-9b9b-4084-a836-424fb5bccd2b\" class=\"_ap_apex_ad\" data-section=\"4ffede82-9b9b-4084-a836-424fb5bccd2b\" data-xpath=\"\" data-section-id=\"12\" data-ap-network=\"adpTags\" data-render-time=\"1652370843193\">\n<div id=\"ADP_41212_970X250_4ffede82-9b9b-4084-a836-424fb5bccd2b\" data-google-query-id=\"CJL184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22670598218_0__container__\">It also helps in automating various tasks ranging from the extraction of data to re-use of scripts for decision making. However, it suffers from the limitation of being a closed-source proprietary software.<\/div>\n<div>\n<p style=\"text-align: center;\"><strong><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\">Looking for a Data Science Career ? Get a Free Demo<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3 class=\"fittexted_for_content_h4\"><strong>6. Excel<\/strong><\/h3>\n<p>It is the most widely used Data Analysis tool. Microsoft developed Excel mostly for spreadsheet calculations and today, it is widely used for data processing, visualization, and complex calculations.<\/p>\n<p>Excel is a powerful analytical tool for Data Science.<\/p>\n<p>Excel comes with various formulae, tables, filters, slicers, etc. You can also create your own custom functions and formulae using Excel. While Excel is not for calculating the huge amount of Data, it is still an ideal choice for creating powerful data visualizations and spreadsheets.<\/p>\n<p>You can also connect SQL with Excel and can use it to manipulate and analyze data. A lot of Data Scientists use Excel for data cleaning as it provides an interactable GUI environment to pre-process information easily.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>7. ggplot2<\/strong><\/h3>\n<p>ggplot2 is an advanced data visualization package for the\u00a0R programming language. The developers created this tool to replace the native graphics package of R and it uses powerful commands to create illustrious visualizations.<\/p>\n<p>It is the most widely used library that Data Scientists use for creating visualizations from analyzed data.Ggplot2 is part of tidyverse, a package in R that is designed for Data Science.<\/p>\n<p>One way in which ggplot2 is much better than the rest of the data visualizations is aesthetics. With ggplot2, Data Scientists can create customized visualizations in order to engage in enhanced storytelling.<\/p>\n<p>Using ggplot2, you can explain your data in visualizations, add text labels to data points and boost intractability of your graphs.<\/p>\n<table>\n<tbody>\n<tr>\n<td style=\"text-align: center;\" colspan=\"3\"><strong>Are you aspiring for a booming career in IT? If YES, then dive in<\/strong><\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/entri.app\/course\/full-stack-developer-course\/\"><strong>Full Stack Developer Course<\/strong><\/a><\/td>\n<td><a href=\"https:\/\/entri.app\/course\/python-programming-course\/\"><strong>Python Programming Course<\/strong><\/a><\/td>\n<td><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\"><strong>Data Science and Machine Learning Course<\/strong><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 class=\"fittexted_for_content_h4\"><strong>8. Tableau<\/strong><\/h3>\n<p>Tableau is a Data Visualization software\u00a0that is packed with powerful graphics to make interactive visualizations. It is focused on industries working in the field of business intelligence.<\/p>\n<p>The most important aspect of Tableau is its ability to interface with databases, spreadsheets, OLAP (Online Analytical Processing) cubes, etc. Along with these features, Tableau has the ability to visualize geographical data and for plotting longitudes and latitudes in maps.<\/p>\n<p>Along with visualizations, you can also use its analytics tool to analyze data. Tableau comes with an active community and you can share your findings on the online platform. While Tableau is enterprise software, it comes with a free version called Tableau Public.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>9. Jupyter<\/strong><\/h3>\n<div id=\"817c0a5e-48fc-40ef-86d9-02c8dbf60777\" class=\"_ap_apex_ad\" data-section=\"817c0a5e-48fc-40ef-86d9-02c8dbf60777\" data-xpath=\"\" data-section-id=\"18\" data-ap-network=\"adpTags\" data-render-time=\"1652370843203\">\n<div id=\"ADP_41212_970X250_817c0a5e-48fc-40ef-86d9-02c8dbf60777\" data-google-query-id=\"CJX184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22670598227_0__container__\"><\/div>\n<\/div>\n<\/div>\n<p>Project\u00a0<strong>Jupyter<\/strong>\u00a0is an open-source tool based on IPython for helping developers in making open-source software and experiences interactive computing. Jupyter supports multiple languages like Julia,\u00a0<strong>Python<\/strong>, and R.<\/p>\n<p>It is a web-application tool used for writing live code, visualizations, and presentations. It is also a powerful tool for storytelling as various presentation features are present in it.<\/p>\n<p>Using Jupyter Notebooks, one can perform data cleaning, statistical computation, visualization and create predictive\u00a0machine learning models. It is 100% open-source and is, therefore, free of cost.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>10. Matplotlib<\/strong><\/h3>\n<p>Matplotlib is a plotting and visualization library\u00a0developed for Python. It is the most popular tool for generating graphs with the analyzed data. It is mainly used for plotting complex graphs using simple lines of code. Using this, one can generate bar plots, histograms, scatterplots etc.<\/p>\n<p>Matplotlib has several essential modules. One of the most widely used modules is pyplot. It offers a MATLAB like an interface. Pyplot is also an open-source alternative to MATLAB\u2019s graphic modules.<\/p>\n<p>Matplotlib is a preferred tool for data visualizations and is used by Data Scientists over other contemporary tools.<\/p>\n<h3 style=\"text-align: center;\"><a class=\"btn btn-default\" href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\">GET a data scientist CAREER! enroll now!!<\/a><\/h3>\n<h3 class=\"fittexted_for_content_h4\"><strong>11. NLTK<\/strong><\/h3>\n<p>Natural Language Processing\u00a0has emerged as the most popular field in Data Science. It deals with the development of statistical models that help computers understand human language.<\/p>\n<p>These statistical models are part of Machine Learning and are able to assist computers in understanding natural language through several of its algorithms. Python language comes with a collection of libraries called Natural Language Toolkit (NLTK) developed for this particular purpose only.<\/p>\n<p>&nbsp;<\/p>\n<p>NLTK is widely used for various language processing techniques like tokenization, stemming, tagging, parsing and machine learning.<\/p>\n<p>It has a variety of applications such as Parts of Speech Tagging, Word Segmentation, Machine Translation, Text to Speech Speech Recognition, etc.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>12. Scikit-learn<\/strong><\/h3>\n<p>Scikit-learn is a library-based in Python that is used for implementing Machine Learning Algorithms. It is simple and easy to implement a tool that is widely used for analysis and data science.<\/p>\n<p>It supports a variety of features in Machine Learning such as data preprocessing, classification, regression, clustering, dimensionality reduction, etc<\/p>\n<div id=\"8576b253-0ae3-4ca5-b784-10732fa5d450\" class=\"_ap_apex_ad\" data-section=\"8576b253-0ae3-4ca5-b784-10732fa5d450\" data-xpath=\"\" data-section-id=\"22\" data-ap-network=\"adpTags\" data-render-time=\"1652370843211\" data-refresh-time=\"1652370880681\" data-timeout=\"1046\">\n<div id=\"ADP_41212_970X250_8576b253-0ae3-4ca5-b784-10732fa5d450\" data-google-query-id=\"CJf184qp2vcCFWY10wodXYYJ5w\">\n<div id=\"google_ads_iframe_\/103512698,22305599185\/22670598233_0__container__\">Scikit-learn makes it easy to use complex machine learning algorithms. It is therefore in situations that require rapid prototyping and is also an ideal platform to perform research requiring basic Machine Learning. It makes use of several underlying libraries of Python such as SciPy, Numpy, Matplotlib, etc.<\/div>\n<\/div>\n<\/div>\n<h3 class=\"fittexted_for_content_h4\"><strong>13. TensorFlow<\/strong><\/h3>\n<p>TensorFlow has become a standard tool\u00a0for Machine Learning. It is widely used for advanced machine learning algorithms like Deep Learning. Developers named TensorFlow after Tensors which are multidimensional arrays.<\/p>\n<p>It is an open-source and ever-evolving toolkit which is widely known for its performance and high computational abilities. TensorFlow can run on both CPUs and GPUs and has recently emerged on more powerful TPU platforms.<\/p>\n<p>This gives it an unprecedented edge in terms of the processing power of advanced machine learning algorithms.<\/p>\n<p>Due to its high processing ability,\u00a0Tensorflow has a variety of applications\u00a0such as speech recognition, image classification, drug discovery, image and language generation, etc.<\/p>\n<h3 class=\"fittexted_for_content_h4\"><strong>14. Weka<\/strong><\/h3>\n<p>Weka or\u00a0<strong>W<\/strong>aikato\u00a0<strong>E<\/strong>nvironment for<strong>\u00a0K<\/strong>nowledge\u00a0<strong>A<\/strong>nalysis is a machine learning software written in Java. It is a collection of various Machine Learning algorithms for data mining. Weka consists of various machine learning tools like classification, clustering, regression, visualization and data preparation.<\/p>\n<p>It is an open-source GUI software that allows easier implementation of machine learning algorithms through an interactable platform.<\/p>\n<p>You can understand the functioning of Machine Learning on the data without having to write a line of code. It is ideal for Data Scientists who are beginners in Machine Learning.<\/p>\n<p style=\"text-align: center;\"><strong><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\" target=\"_blank\" rel=\"noopener\">\u00a0Enroll for best Coding experience! Get a Free Demo class!<\/a><\/strong><\/p>\n<h2 class=\"fittexted_for_content_h3\"><span class=\"ez-toc-section\" id=\"Summary\"><\/span><strong>Summary<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>We saw how data science requires a vast array of tools. The tools for data science are for analyzing data, creating aesthetic and interactive visualizations and creating powerful predictive models using machine learning algorithms.<\/p>\n<p>Most of the data science tools deliver complex data science operations in one place. 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In order to do so, he requires various statistical tools and programming languages. In this article, we will learn about some of the Data Science Tools used by Data Scientists to carry out their data operations. We will understand the [&hellip;]<\/p>\n","protected":false},"author":111,"featured_media":25555716,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[802,1903,1904,1841],"tags":[],"class_list":["post-25524060","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-coding","category-entri-elevate","category-entri-skilling"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science Tools High Demand in 2024 - Entri Blog<\/title>\n<meta name=\"description\" content=\"Learn about some of the Data Science Tools used by Data Scientists to carry out their data operations. Know about key features, benefits\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science Tools High Demand in 2024 - Entri Blog\" \/>\n<meta property=\"og:description\" content=\"Learn about some of the Data Science Tools used by Data Scientists to carry out their data operations. Know about key features, benefits\" \/>\n<meta property=\"og:url\" content=\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/\" \/>\n<meta property=\"og:site_name\" content=\"Entri Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/entri.me\/\" \/>\n<meta property=\"article:published_time\" content=\"2022-05-12T19:29:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-21T12:55:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/05\/Untitled6.png\" \/>\n\t<meta property=\"og:image:width\" content=\"820\" \/>\n\t<meta property=\"og:image:height\" content=\"615\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Feeba Mahin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@entri_app\" \/>\n<meta name=\"twitter:site\" content=\"@entri_app\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Feeba Mahin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/\"},\"author\":{\"name\":\"Feeba Mahin\",\"@id\":\"https:\/\/entri.app\/blog\/#\/schema\/person\/f036dab84abae3dcc9390a1110d95d36\"},\"headline\":\"Data Science Tools High Demand in 2024\",\"datePublished\":\"2022-05-12T19:29:30+00:00\",\"dateModified\":\"2024-05-21T12:55:43+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/\"},\"wordCount\":1974,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/entri.app\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/05\/Untitled6.png\",\"articleSection\":[\"Articles\",\"Coding\",\"Entri Elevate\",\"Entri Skilling\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/\",\"url\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/\",\"name\":\"Data Science Tools High Demand in 2024 - Entri Blog\",\"isPartOf\":{\"@id\":\"https:\/\/entri.app\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/entri.app\/blog\/data-science-tools-high-demand\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/05\/Untitled6.png\",\"datePublished\":\"2022-05-12T19:29:30+00:00\",\"dateModified\":\"2024-05-21T12:55:43+00:00\",\"description\":\"Learn about some of the Data Science Tools used by Data Scientists to carry out their data operations. 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