{"id":30466,"date":"2023-12-04T10:05:22","date_gmt":"2023-12-04T02:05:22","guid":{"rendered":"https:\/\/www.disted.edu.my\/?page_id=30466"},"modified":"2023-12-21T05:30:02","modified_gmt":"2023-12-21T05:30:02","slug":"data-analytics-essentials-dae","status":"publish","type":"page","link":"https:\/\/dev.disted.edu.my\/?page_id=30466","title":{"rendered":"DATA ANALYTICS ESSENTIALS (DAE)"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"30466\" class=\"elementor elementor-30466\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8e239cc elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8e239cc\" data-element_type=\"section\" data-e-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-6484a91\" data-id=\"6484a91\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3e01273 elementor-widget elementor-widget-spacer\" data-id=\"3e01273\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-432ea6c elementor-widget elementor-widget-heading\" data-id=\"432ea6c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">DATA ANALYTICS ESSENTIALS (DAE)<\/h1>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-516c12a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"516c12a\" data-element_type=\"section\" data-e-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-2e16099\" data-id=\"2e16099\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0f1f370 elementor-widget elementor-widget-spacer\" data-id=\"0f1f370\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11764c5 elementor-widget elementor-widget-text-editor\" data-id=\"11764c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">COURSE OVERVIEW<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">The worldwide revenue for Big Data and Data Analytics is expected to grow exponentially. Almost all industries and verticals are expected to increase their own spending and investment in Data technologies and solutions, helping to fuel growth of data technologies. Together with an increase interest and investment in AI, new tools for collecting and analysing data and new enterprise roles and responsibilities will emerge presenting IT professionals and individuals planning to pursue a career in Big Data and Data Analytics with tremendous career opportunities. This can never be a better time to acquire the necessary skills and gain proficiency in Data Analytics and Data Science.<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">TRAINING DETAILS<\/h5>\n<ul style=\"color: #000000; font-family: Montserrat, sans-serif;\">\n<li><span style=\"font-weight: bold;\">Type of Training:&nbsp;<\/span>Non-e-learning<\/li>\n<li><span style=\"font-weight: bold;\">Duration:<\/span>&nbsp;4 days<\/li>\n<li><span style=\"font-weight: bold;\">Total Training Hours:<\/span>&nbsp;32 hours<\/li>\n<li><span style=\"font-weight: bold;\">Minimum Training Qualification:&nbsp;<\/span>Suitable for anyone, even without prior technological experience.<\/li>\n<\/ul>\n<div>\n<h5 style=\"font-family: Montserrat, sans-serif; color: rgb(0, 0, 0);\">UPCOMING TRAINING SCHEDULE&nbsp;JAN &#8211; JUN 2024<\/h5>\n<ul style=\"color: rgb(0, 0, 0); font-family: Montserrat, sans-serif;\">\n<li><span style=\"font-weight: bold;\">Type of Training:&nbsp;<\/span>Non-e-learning<\/li>\n<li><span style=\"font-weight: 700;\">Dates : 29 &#8211; 31 Jan, 19 &#8211; 22 Feb, 22 &#8211; 25 Mar<\/span><\/li>\n<li><b>Time:<\/b> 9.30 am &#8211; 5.30 pm<\/li>\n<li><b>Mode of Delivery: <\/b>Face-to-Face<\/li>\n<\/ul>\n<\/div>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">CERTIFICATION<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Upon course completion, participants will receive a \u201c<span style=\"font-weight: bold;\">Certificate of Competency<\/span>\u201c<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">WHO SHOULD ATTEND<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Data Analyst, Data Scientists, Business Analysts, Researchers and Academics, IT Professionals, Business Owners, Key- Decision Makers, and Anyone interested in Business Analytics \/ Data Analytics.<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">TARGETED INDUSTRY<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Suitable for all industry<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">LEARNING OUTCOME<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Acquire advanced knowledge and skills on artificial intelligence and its application. Learn how to use Python Programming language for Machine Learning, Deep Learning, Natural Language Processing (NLP) and basic computer vision.<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">TRAINING METHOD<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Involves rigorous hands-on \/ practical exercises, usage of real-time case studies, role playing and group discussion.<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">COURSE MODULES<\/h5>\n<ul style=\"color: #000000; font-family: Montserrat, sans-serif;\">\n<li><span style=\"font-weight: bold;\">Module 1:<\/span>&nbsp;Introduction to Data Analytics<\/li>\n<li><span style=\"font-weight: bold;\">Module 2:<\/span>&nbsp;Different Types of Analytics and Application<\/li>\n<li><span style=\"font-weight: bold;\">Module 3:<\/span>&nbsp;Deep Dive into Python Programming<\/li>\n<li><span style=\"font-weight: bold;\">Module 4:<\/span>&nbsp;Working with Key Modules \/ Packages<\/li>\n<li><span style=\"font-weight: bold;\">Module 5:<\/span>&nbsp;Data Mining Processes for Data Analytics<\/li>\n<li><span style=\"font-weight: bold;\">Module 6:<\/span>&nbsp;Data Mining Techniques<\/li>\n<li><span style=\"font-weight: bold;\">Module 7:<\/span>&nbsp;Deep Dive into Data Visualization with Python<\/li>\n<li><span style=\"font-weight: bold;\">Module 8:<\/span>&nbsp;Matplotlib and Seaborn Libraries in Python for Visualization<\/li>\n<li><span style=\"font-weight: bold;\">Module 9:<\/span>&nbsp;Understanding Machine Learning<\/li>\n<\/ul>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">&nbsp;<\/h5>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">EXAMINATION<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Participants are required to attempt an examination upon completion of course. This exam tests a candidate\u2019s knowledge and skills related to Data Analytics and Python Programming based on the syllabus covered. Participants are expected to score a minimum of 70% to pass the examination<\/p>\n<h5 style=\"font-family: Montserrat, sans-serif; color: #000000;\">FEES<\/h5>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">RM 4,600 \/ pax : 4 days<\/p>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\">Inclusive of training materials and refreshment.<\/p>\n<p style=\"color: #000000; font-family: Montserrat, sans-serif;\"><span style=\"font-weight: bold;\">&gt;&gt;<a href=\"https:\/\/www.disted.edu.my\/wp-content\/uploads\/2023\/11\/DAE.pdf\" target=\"_blank\" rel=\"noopener\">DOWNLOAD COURSE BROCHURE<\/a>&lt;&lt;<\/span><\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-701deae elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"701deae\" data-element_type=\"section\" data-e-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-39c8dae\" data-id=\"39c8dae\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7827be3 elementor-widget elementor-widget-spacer\" data-id=\"7827be3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\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\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba67303 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba67303\" data-element_type=\"section\" data-e-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-a2e589c\" data-id=\"a2e589c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3990a4f elementor-widget elementor-widget-shortcode\" data-id=\"3990a4f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[gravityform id=\"17\" title=\"true\"]<\/div>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>DATA ANALYTICS ESSENTIALS (DAE) COURSE OVERVIEW The worldwide revenue for Big Data and Data Analytics is expected to grow exponentially. Almost all industries and verticals are expected to increase their own spending and investment in Data technologies and solutions, helping to fuel growth of data technologies. Together with an increase interest and investment in AI, &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/dev.disted.edu.my\/?page_id=30466\"> <span class=\"screen-reader-text\">DATA ANALYTICS ESSENTIALS (DAE)<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[70],"tags":[],"class_list":["post-30466","page","type-page","status-publish","hentry","category-pro-dev"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"admin","author_link":"https:\/\/dev.disted.edu.my\/?author=1"},"rttpg_comment":0,"rttpg_category":" <a href=\"https:\/\/dev.disted.edu.my\/?cat=70\" rel=\"tag\">Professional Development<\/a>","rttpg_excerpt":"DATA ANALYTICS ESSENTIALS (DAE) COURSE OVERVIEW The worldwide revenue for Big Data and Data Analytics is expected to grow exponentially. Almost all industries and verticals are expected to increase their own spending and investment in Data technologies and solutions, helping to fuel growth of data technologies. Together with an increase interest and investment in AI,&hellip;","_links":{"self":[{"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=\/wp\/v2\/pages\/30466","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=30466"}],"version-history":[{"count":1,"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=\/wp\/v2\/pages\/30466\/revisions"}],"predecessor-version":[{"id":31310,"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=\/wp\/v2\/pages\/30466\/revisions\/31310"}],"wp:attachment":[{"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=30466"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=30466"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.disted.edu.my\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=30466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}