{"id":5282,"date":"2023-09-14T12:48:56","date_gmt":"2023-09-14T12:48:56","guid":{"rendered":"https:\/\/bastakiyatech.fi\/?page_id=5282"},"modified":"2023-10-09T18:37:11","modified_gmt":"2023-10-09T18:37:11","slug":"data-science-for-non-coders","status":"publish","type":"page","link":"https:\/\/bastakiyatech.fi\/index.php\/data-science-for-non-coders\/","title":{"rendered":"Data Science for Non-Coders"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"5282\" class=\"elementor elementor-5282\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0d8d112 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"0d8d112\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b3427c8 ot-flex-column-vertical\" data-id=\"b3427c8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1c81ad5 elementor-widget elementor-widget-spacer\" data-id=\"1c81ad5\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 25-10-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container{height:100%;width:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty,.e-con>.elementor-widget-spacer.elementor-widget-empty{position:relative;min-height:22px;min-width:22px}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon,.e-con>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon{position:absolute;top:0;bottom:0;left:0;right:0;margin:auto;padding:0;width:22px;height:22px}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-47871d7 elementor-section-full_width elementor-section-stretched elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"47871d7\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-14818f6 ot-flex-column-vertical\" data-id=\"14818f6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6bf3207 elementor-widget elementor-widget-image\" data-id=\"6bf3207\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 25-10-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" width=\"8001\" height=\"2416\" src=\"https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01.png\" class=\"attachment-full size-full wp-image-9280\" alt=\"\" srcset=\"https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01.png 8001w, https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01-300x91.png 300w, https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01-1024x309.png 1024w, https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01-768x232.png 768w, https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01-1536x464.png 1536w, https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/09\/Data-Science-for-non-coders-01-2048x618.png 2048w\" sizes=\"(max-width: 8001px) 100vw, 8001px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-01fd878 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"01fd878\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-adbfedd ot-flex-column-vertical\" data-id=\"adbfedd\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a73771e elementor-widget elementor-widget-spacer\" data-id=\"a73771e\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1e2ac68 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"1e2ac68\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-4a7e47e ot-flex-column-vertical\" data-id=\"4a7e47e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b9979fd elementor-widget elementor-widget-heading\" data-id=\"b9979fd\" 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 - v3.17.0 - 25-10-2023 *\/\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><h1 class=\"elementor-heading-title elementor-size-default\">Overview<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9356cac elementor-widget elementor-widget-spacer\" data-id=\"9356cac\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aecc910 elementor-widget elementor-widget-text-editor\" data-id=\"aecc910\" 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 - v3.17.0 - 25-10-2023 *\/\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<h4 style=\"text-align: left;\">Data Science &amp; Machine Learning is now effortless for Anyone!<\/h4><p style=\"text-align: left;\">In this live training, you will explore how to get into Data Science with a non-technical background. You would be practicing visual programming &amp; drag-and-drop tools like KNIME to build Data Science &amp; ML Models such as KNIME. This complete training will help you master all three elements of Data Science \u2013 Statistics, Tools, and Business Knowledge.<\/p><p style=\"text-align: left;\">We\u2019ll be covering the complete process of Data Science from Data Integration, Data Manipulation, Descriptive Analytics, and Visualization to Statistical Analysis, using drag &amp; drop tools and Machine Learning models, using Predictive Modeling, Regression Algorithms and linear Regression.<\/p><p style=\"text-align: left;\">By the end of this training, you will have enough knowledge and hands-on expertise in different tools of Data Science to use and apply them in the real world around you.<\/p><h5 style=\"text-align: left;\"><span style=\"color: #333399;\"><strong>Training Outcomes<\/strong><\/span><\/h5><ul><li style=\"text-align: left;\"><i class=\"wp-svg-checkmark checkmark\"><\/i>\u00a0\u00a0 Assignments &amp; Quizzes<\/li><li style=\"text-align: left;\"><i class=\"wp-svg-checkmark checkmark\"><\/i>\u00a0 Industry oriented project<\/li><li style=\"text-align: left;\"><i class=\"wp-svg-checkmark checkmark\"><\/i>\u00a0 Get access to recorded lectures<\/li><li style=\"text-align: left;\"><i class=\"wp-svg-checkmark checkmark\"><\/i>\u00a0 75% Hands-on!<\/li><li style=\"text-align: left;\"><i class=\"wp-svg-checkmark checkmark\"><\/i>\u00a0 Dice shareable certificate<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-80382d9 ot-flex-column-vertical\" data-id=\"80382d9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0c5b7a8 elementor-widget elementor-widget-spacer\" data-id=\"0c5b7a8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25e16cb elementor-widget elementor-widget-image\" data-id=\"25e16cb\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bastakiyatech.fi\/wp-content\/uploads\/elementor\/thumbs\/data-analtics-1-550x550-1-qcg9wdztl7bt1d76mgcedgf5eorbyvzb0s1htm6t9c.png\" title=\"data-analtics-1-550&#215;550\" alt=\"data-analtics-1-550x550\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-36247b5 elementor-section-full_width elementor-section-stretched elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"36247b5\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cdf0dd7 ot-flex-column-vertical\" data-id=\"cdf0dd7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9ff7e31 elementor-widget elementor-widget-spacer\" data-id=\"9ff7e31\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d5ef196 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"d5ef196\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f591eac ot-flex-column-vertical\" data-id=\"f591eac\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-33841a5 elementor-widget elementor-widget-heading\" data-id=\"33841a5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Course Outline<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1930c99 elementor-widget elementor-widget-spacer\" data-id=\"1930c99\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-f3ffbf5 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"f3ffbf5\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-0813a0a ot-flex-column-vertical\" data-id=\"0813a0a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-aeddfbe ot-flex-column-vertical\" data-id=\"aeddfbe\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7e431b8 elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-spacer\" data-id=\"7e431b8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b07167 elementor-widget elementor-widget-iaccordions\" data-id=\"2b07167\" data-element_type=\"widget\" data-widget_type=\"iaccordions.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\r\n\t\t<div class=\"ot-accordions\">\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"yes\">Week 1:Introduction <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>What is Data Science<\/li><li>Introduction to Big Data, Data Science, and Predictive Analytics<\/li><li>Fundamentals of Data Mining<\/li><li>Python\/R a Myth<\/li><li>Data Based Decision Making and Industrial Practices<\/li><li>Difference Between Conventional Marketing and Data Science<\/li><li>Career Growth Tracks<\/li><li>Data Visualization Tools Overview<\/li><li>Marketing Intelligence Tools and AI<\/li><li>Drag &amp; Drop Tools of Data Science<\/li><li>SAP Predictive Analytics Basic Understanding<\/li><li>What is CRISP-DM Methodology?<\/li><li>KNIME Installation<\/li><li>KNIME Hands One &amp; Tool Understanding<\/li><li>KNIME Interface Walkthrough<\/li><li>What are Node and Workflows?<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Week 2:Exploring KNIME <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Import\/ Export from Files to Databases<\/li><li>What are KNIME Extensions?<\/li><li>Exploring the KNIME Hub<\/li><li>Data Exploration &amp; Understanding<\/li><li>Understanding Workspace<\/li><li>Creation of Personalized Workspace<\/li><li>Feature Engineering for Variables<\/li><li>Cleaning Data with Missing Value Node<\/li><li>Performing Univaraite Analysis &amp; Bivariate Analysis<\/li><li>Different Methods for Data Sampling<\/li><li>Types of Data Sampling<\/li><li>Organizing Workflows through Comments &amp; Annotations<\/li><li>Data Visualization (Box Plot, Graphs, etc)<\/li><li>Normal Distribution<\/li><li>Basics of Connecting Table (Joins)<\/li><li>Study Design and Scope of Data Science<\/li><li>Introduction to Kaggle and Anaconda<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Week 3:Data Segmentation <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Introduction to Supervised Learning<\/li><li>Approaches for Blending and Merging of Data<\/li><li>Filtering your data on basis of your row and column values<\/li><li>Modularization of Nodes into Meta Nodes<\/li><li>Understanding Joiners and Rule Engine Nodes<\/li><li>Understanding Data Aggregations<\/li><li>How does Feature Engineering Works?<\/li><li>Creating Multiple (~100) Variables from POS data using KNIME<\/li><li>Understanding Pre &amp; Post Analysis for Value Upgradation<\/li><li>RFM Segmentation for Customer Segmentation &amp; Loyalty<\/li><li>RFM Segmentation and its role in feature engineering<\/li><li>Insights Creation from a data set<\/li><li>Project #1: Wrapping up RFM Segmentation<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Week 4:Clustering using Machine Learning <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>What is Machine Learning?<\/li><li>Understanding Unsupervised Learning<\/li><li>Limitations and Requirements of Unsupervised Learning<\/li><li>Understand Exploratory Data Analysis<\/li><li>Find hidden patterns using ML<\/li><li>Unsupervised Learning<\/li><li>Basics of Clustering<\/li><li>Understanding KMeans<\/li><li>Identify optimal number of K by Elbow Analysis<\/li><li>Introduction to Radar chart, pie chart, etc<\/li><li>Anomaly Detection in data and its removal<\/li><li>Feature Scaling and why does it matter?<\/li><li>Cluster Validation by Silhouette Coefficient<\/li><li>Multiple iterations for detecting optimal K<\/li><li>Benefits of Unsupervised learning<\/li><li>Project #2: Clusters Profiling<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t    <\/div>\r\n\r\n\t    \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-33884f7 ot-flex-column-vertical\" data-id=\"33884f7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4140251 elementor-widget elementor-widget-iaccordions\" data-id=\"4140251\" data-element_type=\"widget\" data-widget_type=\"iaccordions.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\r\n\t\t<div class=\"ot-accordions\">\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"yes\">Week 5:Predictive Modeling <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Supervised Learning Basics<\/li><li>Regression Algorithms<\/li><li>Logistic Regression Algorithm<\/li><li>Correlation Matrix Understanding<\/li><li>Understanding Performance Metrics<\/li><li>Confusion Matrix<\/li><li>Use Case: Fraud Evaluation<\/li><li>Understanding Precision, Accuracy, Recall, F Measure<\/li><li>Receiver Operating Characteristics<\/li><li>ROC Curve, AUC, TPR, FPR<\/li><li>KNN Model Complexity<\/li><li>Hands-On Lab: Building a Classifier<\/li><li>Churn Prediction Model to maintain service experience<\/li><li>Hands-On Activity: Determining the best split for Classification Models, Evaluation and Cross Validation<\/li><li>Industrial Practices and Guest Lecture<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Week 6:Regression <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Understand Value Functions<\/li><li>Revise straight line equations<\/li><li>Linear Regression<\/li><li>R-Squared and Adjusted R-Squared<\/li><li>Residual Plots and their Intuition<\/li><li>Multivariate Regression<\/li><li>Outliers Detection in Regression Data<\/li><li>Over-fitting &amp; Under-fitting<\/li><li>Understand how to use best fit for decision making<\/li><li>Bias-Variance Trade-off<\/li><li>Types of Bias and Errors<\/li><li>Regularization<\/li><li>Set Parameters within a dataset<\/li><li>Industrial Practices for using regression model<\/li><li>Hands-On Lab: Building a Regression Model<\/li><li>Hands-On Activity: Evaluating Performance, Finding Maxima and Minima, Gradient Descent, Visualizing Features and Parameter<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Week 7:Decision Making Tools <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Decision Trees<\/li><li>Creation of Decision Tree in KNIME<\/li><li>Make class labels for features in Decision Trees<\/li><li>Evaluation optimal choice using Decision Trees<\/li><li>Importance of Gini Index for a model<\/li><li>Random Forest<\/li><li>Construction of multitude of decision trees<\/li><li>Association Rules<\/li><li>Application of Association Rule<\/li><li>Target variable based on several input variables<\/li><li>Support &amp; Lift<\/li><li>Bagging, Boosting and Ensemble Methods<\/li><li>Recommendation Engine Understanding<\/li><li>Used Cases and Project Discussion<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Week 8:Use Cases Discussion <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Overview of Different Projects<\/li><li>Anomaly Detection<\/li><li>Churn Prediction<\/li><li>Credit Risk Modelling<\/li><li>Market Basket Analysis<\/li><li>Fraud Detection<\/li><li>Outlier Detection in Medical Claims<\/li><li>Social Media Clustering<\/li><li>Discussion on Final Project<\/li><li>Use of ML and AI in daily life<\/li><li>How to apply your learnings in real life situations<\/li><li>Application and usage of KNIME at your workplace<\/li><li>Answering business questions<\/li><li>Solve business problems using data<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t    <\/div>\r\n\r\n\t    \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-e517b45 ot-flex-column-vertical\" data-id=\"e517b45\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-870ff60 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"870ff60\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6de933e ot-flex-column-vertical\" data-id=\"6de933e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-917549a elementor-widget elementor-widget-spacer\" data-id=\"917549a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7122a85 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"7122a85\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4eddb53 ot-flex-column-vertical\" data-id=\"4eddb53\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-99ac9c9 elementor-widget elementor-widget-heading\" data-id=\"99ac9c9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Frequently Asked Questions<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-17cc733 elementor-widget elementor-widget-spacer\" data-id=\"17cc733\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a4bbfd0 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"a4bbfd0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-edb1a55 ot-flex-column-vertical\" data-id=\"edb1a55\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b070a9 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"2b070a9\" 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-sm\" href=\"#\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-question-circle\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Support<\/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<div class=\"elementor-element elementor-element-421b07c elementor-widget elementor-widget-spacer\" data-id=\"421b07c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6605d14 elementor-widget elementor-widget-image\" data-id=\"6605d14\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" width=\"709\" height=\"871\" src=\"https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/10\/faq-illustrations-01.png\" class=\"attachment-full size-full wp-image-12738\" alt=\"\" srcset=\"https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/10\/faq-illustrations-01.png 709w, https:\/\/bastakiyatech.fi\/wp-content\/uploads\/2023\/10\/faq-illustrations-01-244x300.png 244w\" sizes=\"(max-width: 709px) 100vw, 709px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-f462006 ot-flex-column-vertical\" data-id=\"f462006\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9837b0d elementor-widget elementor-widget-iaccordions\" data-id=\"9837b0d\" data-element_type=\"widget\" data-widget_type=\"iaccordions.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\r\n\t\t<div class=\"ot-accordions\">\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"yes\">Who should attend the course? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<ul><li>Graduate or Masters Students with non technical background who want to start their career in the Data Science domain<\/li><li>People who are working in the non tech departments and want to advance their career in the field of Data Science<\/li><li>Executive who want to build a Data Science department in their start-ups\/organizations<\/li><\/ul>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">What is the timing of the course? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>Duration: 8 weeks<br \/>Timings: 11:00 AM \u2013 4:00 PM<br \/>Days: SAT &amp; SUN<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">How much hands-on will be performed in this course? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">What are the PC requirements? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>For this Professional course, you need to have a PC with minimum 4GB RAM<\/p><p>\u00a0<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t    <\/div>\r\n\r\n\t    \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-694387b ot-flex-column-vertical\" data-id=\"694387b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-315451a elementor-widget elementor-widget-iaccordions\" data-id=\"315451a\" data-element_type=\"widget\" data-widget_type=\"iaccordions.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\r\n\t\t<div class=\"ot-accordions\">\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"yes\">What if I miss any of the lectures? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>Don\u2019t worry! We have got you covered. You shall be shared recorded lectures after each session, in case you want to revise your concepts or miss the lecture due to some personal or professional commitment.<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">What sort of projects will be part of this Live Training? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>This Certification Training course includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards and prepare you for the future career needs.<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Will I get a certificate after this course? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"acc-item\">\r\n\t\t\t\t<span class=\"acc-toggle\" data-default=\"\">Can I get a job after this course? <i class=\"down flaticon-arrow-pointing-to-down\"><\/i><i class=\"up flaticon-arrow-pointing-to-up\"><\/i><\/span>\r\n\t\t\t\t<div class=\"acc-content\">\r\n\t\t\t\t\t<p>Since our instructors are industry experts so they do train the students about practical world and also recommend the shinning students in industry for relevant positions.<\/p>\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t    <\/div>\r\n\r\n\t    \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-5fc9805 ot-flex-column-vertical\" data-id=\"5fc9805\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b4af786 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"b4af786\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-021e96f ot-flex-column-vertical\" data-id=\"021e96f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-31c8de8 elementor-widget elementor-widget-spacer\" data-id=\"31c8de8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Overview Data Science &amp; Machine Learning is now effortless for Anyone! In this live training, you will explore how to get into Data Science with a non-technical background. You would be practicing visual programming &amp; drag-and-drop tools like KNIME to build Data Science &amp; ML Models such as KNIME. This complete training will help you [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/pages\/5282"}],"collection":[{"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/comments?post=5282"}],"version-history":[{"count":119,"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/pages\/5282\/revisions"}],"predecessor-version":[{"id":13417,"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/pages\/5282\/revisions\/13417"}],"wp:attachment":[{"href":"https:\/\/bastakiyatech.fi\/index.php\/wp-json\/wp\/v2\/media?parent=5282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}