{"id":1204,"date":"2021-08-12T06:07:23","date_gmt":"2021-08-12T06:07:23","guid":{"rendered":"https:\/\/www.sagaratechnology.com\/blog\/?p=1204"},"modified":"2021-11-16T04:06:27","modified_gmt":"2021-11-16T04:06:27","slug":"an-introduction-to-data-science","status":"publish","type":"post","link":"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/","title":{"rendered":"Data Science: An Introduction to Data Science"},"content":{"rendered":"\n<p>Data Science is one of the most promising and in-demand career paths in future <a href=\"https:\/\/www.sagaratechnology.com\/blog\/data-science-importance-in-the-face-of-future-trends\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>trends<\/em><\/a>. Data scientists are aware that they must be mastering the traditional skills of analyzing big data, data mining, and programming skills. They must be mastering the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process. <\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 counter-hierarchy ez-toc-counter ez-toc-grey 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-69e369b256eb4\" 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-69e369b256eb4\"  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:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#Data_Science_Life_Cycle\" >Data Science Life Cycle<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#What_does_Data_Scienctist_do\" >What does Data Scienctist do?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#What_kind_of_skill_that_Data_Science_need\" >What kind of skill that Data Science need?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#How_do_I_become_a_data_science\" >How do I become a data science?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#1_Multivariable_Calculus\" >1. Multivariable Calculus<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#2_Linear_Algebra\" >2. Linear Algebra<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#3_Optimization_Methods\" >3. Optimization Methods<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/#4_Basic_Programming\" >4. Basic Programming<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Data_Science_Life_Cycle\"><\/span>Data Science Life Cycle<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Data Science Life Cycle containing five stages which are <strong>Capture<\/strong>, (data acquisition, data entry, signal reception, and data extraction) <strong>Maintain<\/strong>, (data warehousing, data cleansing, data staging, data processing, data architecture) <strong>Process<\/strong>, (data mining, clustering, data modeling, data summarization) <strong>Analyze<\/strong>, (exploratory\/confirmatory, predictive analysis, regression, text mining, qualitative analysis) <strong>Communicate<\/strong>, (data report, data visualization, business intelligence, and decision making).<\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"What_does_Data_Scienctist_do\"><\/span>What does Data Scienctist do?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Simply, Data scientists are the ones who solved complicated data problems with their strong expertise in certain scientific disciplines. They work with several elements related to mathematics, statistic, computer science, etc. These professional are a data-driven individual who is capable of building complex algorithms to create information that helps the company to drive the strategy for the company itself. &nbsp;They use the latest technologies for finding solutions that are crucial for company growth and development. Data Scientists present the data in a more useful form compared to the raw data available from structured or unstructured forms.<\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"What_kind_of_skill_that_Data_Science_need\"><\/span>What kind of skill that Data Science need?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Besides programming skills, to be an efficient data scientist you also need some various skill-sets and competencies such as: <\/p>\n\n\n\n<ol><li>You must be <strong>very innovative<\/strong> kind of person in applying various techniques to extract data and get useful insight from it<\/li><li>Posses a hand-on experience in <strong>data mining techniques<\/strong> such pattern detection, decision trees, clustering or statistical analysis<\/li><li>Able to <strong>locate and construct<\/strong> rich data sources<\/li><li><strong>Research and Analyzing<\/strong> data to create a useful insight<\/li><li><strong>Data Visualization<\/strong> that will help others to understanding what you\u2019ve found<\/li><li><strong>Leadership and Communication<\/strong> that help you collaborate with other divison like Business Analyst, Engineers, and Product Managers<\/li><\/ol>\n\n\n\n<p>Data Scientist should be very strong in Programming, Statistics, Mathematics, Business skills and working knowledge of the related skill-sets. <\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"How_do_I_become_a_data_science\"><\/span>How do I become a data science?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In this topic, we will recommend you to study it thoroughly to provide the minimum background needed to start doing data science. Here is the following list for you to study.<\/p>\n\n\n\n<h3><span class=\"ez-toc-section\" id=\"1_Multivariable_Calculus\"><\/span>1. <strong>Multivariable Calculus<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Multivariable calculus is very important for you to build a machine learning model that will help you to be a better data scientist. You must be familiar with :<\/p>\n\n\n\n<ul><li>Functions of variables<\/li><li>Derivatives and gradients<\/li><li>Step function, Sigmoid function, Logit function<\/li><li>Cost function<\/li><li>Plotting of functions<\/li><li>Minimum and Maximum function values<\/li><\/ul>\n\n\n\n<h3><span class=\"ez-toc-section\" id=\"2_Linear_Algebra\"><\/span>2. <strong>Linear Algebra<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Linear algebra is used for processing data, transformation data, and evaluation models. The topics you need to be familiar with is :<\/p>\n\n\n\n<ul><li>Vectors<\/li><li>Matrices<\/li><li>Transpose Matrix<\/li><li>Inverse Matrix<\/li><li>Determinant Matrix<\/li><li>Dot product<\/li><li>Eigenvalues<\/li><li>Eigenvectors<\/li><\/ul>\n\n\n\n<h3><span class=\"ez-toc-section\" id=\"3_Optimization_Methods\"><\/span>3. <strong>Optimization Methods<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Being able to learn the weights that must be applied to test the data for forecasting, you must be familiar with :<\/p>\n\n\n\n<ul><li>Cost function\/Objective function<\/li><li>Likelihood function<\/li><li>Error function<\/li><li>Gradient Descent Algorithm<\/li><\/ul>\n\n\n\n<h3><span class=\"ez-toc-section\" id=\"4_Basic_Programming\"><\/span>4. Basic Programming<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>You may decide to focus on one programming language like R or Python for a beginner, both are considered as a top programming language for data science. You should acquire this basic skill:<\/p>\n\n\n\n<ul><li>Basic R syntax<\/li><li>Foundational R, for instance data types, arithmetics vectors, indexing, and last but not least data frames<\/li><li>Sorting, data wrangling, and data visualization<\/li><li>Jupyter notebooks<\/li><li>Be familiar with Python libraries. <em><a href=\"https:\/\/www.sagaratechnology.com\/blog\/\" target=\"_blank\" rel=\"noreferrer noopener\">More Here<\/a><\/em><\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Science is one of the most promising and in-demand career paths in future trends. Data scientists are aware that they must be mastering the traditional skills of analyzing big data, data mining, and programming skills. They must be mastering the full spectrum of the data science life cycle and possess a level of flexibility&#8230;<\/p>\n","protected":false},"author":14,"featured_media":1227,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[123,124],"tags":[34,183],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science: An Introduction to Data Science - Sagara Asia Blog<\/title>\n<meta name=\"description\" content=\"Data Science is the ones who solved complicated data problems with their strong expertise in certain scientific disciplines\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sagaratechnology.com\/blog\/an-introduction-to-data-science\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Data Science: An Introduction to Data Science - 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