{"id":451,"date":"2026-08-25T05:45:43","date_gmt":"2026-08-25T05:45:43","guid":{"rendered":"https:\/\/myiaae.org\/\/?page_id=451"},"modified":"2026-08-25T05:46:33","modified_gmt":"2026-08-25T05:46:33","slug":"course-2-digital-technology-enabling-data-acquisition-visualization-and-analytics","status":"publish","type":"page","link":"https:\/\/myiaae.org\/index.php\/course-2-digital-technology-enabling-data-acquisition-visualization-and-analytics\/","title":{"rendered":"Course 2: Digital Technology Enabling Data Acquisition, Visualization, and Analytics"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;rgba(10,1,1,0.38) 0%|rgba(0,0,0,0.28) 99%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_image=&#8221;https:\/\/myiaae.org\/\/wp-content\/uploads\/2026\/08\/Course1_header.jpg&#8221; parallax=&#8221;on&#8221; background_blend=&#8221;multiply&#8221; width=&#8221;96%&#8221; max_width=&#8221;none&#8221; min_height=&#8221;450px&#8221; border_radii=&#8221;off|||18px|18px&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_blurb title=&#8221;COURSE 2&#8243; icon_alignment=&#8221;left&#8221; content_max_width=&#8221;750px&#8221; content_max_width_tablet=&#8221;750px&#8221; content_max_width_phone=&#8221;750px&#8221; content_max_width_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h2&#8243; header_font=&#8221;Corbel Bold|700|||||||&#8221; header_text_align=&#8221;center&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;46px&#8221; body_font=&#8221;Corbel Bold|700|||||||&#8221; body_text_align=&#8221;center&#8221; body_text_color=&#8221;#FFFFFF&#8221; body_font_size=&#8221;22px&#8221; body_line_height=&#8221;1.5em&#8221; image_icon_custom_margin=&#8221;|||0px|false|false&#8221; image_icon_custom_padding=&#8221;|||0px|false|false&#8221; background_layout=&#8221;dark&#8221; module_alignment=&#8221;left&#8221; custom_margin=&#8221;126px||41px||false|false&#8221; custom_margin_tablet=&#8221;160px||||false|false&#8221; custom_margin_phone=&#8221;130px||||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding_tablet=&#8221;&#8221; custom_padding_phone=&#8221;|34px||34px|false|true&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; header_font_size_tablet=&#8221;46px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; body_font_size_tablet=&#8221;22px&#8221; body_font_size_phone=&#8221;18px&#8221; body_font_size_last_edited=&#8221;on|phone&#8221; body_line_height_tablet=&#8221;1.5em&#8221; body_line_height_phone=&#8221;1.3em&#8221; body_line_height_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;]<\/p>\n<h2 class=\"elementor-heading-title elementor-size-default\">Digital Technology Enabling Data Acquisition, Visualization, and Analytics<\/h2>\n<p>[\/et_pb_blurb][dsm_button button_one_text=&#8221;Download the course catalog&#8221; button_one_url_type=&#8221;download&#8221; button_one_download_file=&#8221;https:\/\/myiaae.org\/\/wp-content\/uploads\/2026\/08\/IAAE_course_catalog_2026_preview-1.pdf&#8221; button_alignment=&#8221;center&#8221; remove_separator_text_on_mobile=&#8221;on&#8221; separator_gap=&#8221;0px&#8221; 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max_width=&#8221;none&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;-10px||||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding_tablet=&#8221;&#8221; custom_padding_phone=&#8221;0px||||false|false&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_blurb title=&#8221;3 Modules | 4 hours&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;Corbel Bold||||||||&#8221; header_text_color=&#8221;#45C2CC&#8221; header_font_size=&#8221;20px&#8221; body_font=&#8221;Corbel Regular||||||||&#8221; body_text_color=&#8221;#4c4c4c&#8221; body_font_size=&#8221;16px&#8221; body_line_height=&#8221;1.5em&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;]<\/p>\n<p><span>This online course is divided into three modules: Module 400 introduces data acquisition, analytics, and visualization. Module 410 covers data visualization techniques, such as graph design and evaluation, while Module 420 provides an introduction to data analytics, including the different types of analytics, team roles, and commonly used tools. By the end of the course, you will be able to apply design steps to create graphs, evaluate data visualization, define different analytics types, and list analytics tools to discover, predict, or report insights.<\/span><\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_blurb title=&#8221;This course offers&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;Corbel Bold||||||||&#8221; header_text_color=&#8221;#45C2CC&#8221; header_font_size=&#8221;20px&#8221; custom_margin=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][\/et_pb_blurb][dsm_icon_list icon_color=&#8221;#C3BDE3&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Corbel Regular||||||||&#8221; 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closed_toggle_background_color=&#8221;#C3BDE3&#8243; toggle_icon=&#8221;&#x27;||divi||400&#8243; icon_color=&#8221;#6B3292&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; toggle_text_color=&#8221;#6B3292&#8243; toggle_font=&#8221;Corbel Bold|300|||||||&#8221; closed_toggle_font=&#8221;Corbel Bold||||||||&#8221; body_font=&#8221;Corbel Light||||||||&#8221; body_font_size=&#8221;15px&#8221; body_line_height=&#8221;1.4em&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; border_radii=&#8221;on|18px|18px|18px|18px&#8221; border_color_all=&#8221;rgba(195,189,227,0.61)&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_accordion_item title=&#8221;Module 400: Data Acquisition&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;]<\/p>\n<div class=\"elementor-element elementor-element-afb6b1c elementor-widget elementor-widget-text-editor\" data-id=\"afb6b1c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n<div class=\"elementor-widget-container\">\n<p>This module aims to introduce you to:<\/p>\n<\/div>\n<\/div>\n<div class=\"elementor-element elementor-element-8e08b51 elementor-widget elementor-widget-text-editor\" data-id=\"8e08b51\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n<div class=\"elementor-widget-container\">\n<ul>\n<li>The main goals and benefits of digital biomanufacturing<\/li>\n<li>What data can and should be captured for biomanufacturing purposes<\/li>\n<li>How data acquisition is foundational for both data analytics and data visualization<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/myiaae.org\/\/wp-content\/uploads\/2026\/08\/2.1-300x300-1.png\" width=\"300\" height=\"300\" alt=\"\" class=\"wp-image-446 alignnone size-full\" srcset=\"https:\/\/myiaae.org\/wp-content\/uploads\/2026\/08\/2.1-300x300-1.png 300w, https:\/\/myiaae.org\/wp-content\/uploads\/2026\/08\/2.1-300x300-1-150x150.png 150w, https:\/\/myiaae.org\/wp-content\/uploads\/2026\/08\/2.1-300x300-1-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<h4><strong>Module Objectives:\u00a0<\/strong><\/h4>\n<ol>\n<li>Identify key goals of digital biomanufacturing<\/li>\n<li>List the characteristics of big data<br \/>(the 3 V\u2019s plus 2)<\/li>\n<li>Define structured data, unstructured data,<br \/>and metadata<\/li>\n<li>List the four main steps of digitizing data<\/li>\n<li>Define what main types of data can and should<br \/>be acquired for biomanufacturing<\/li>\n<li>List key activities of data governance<\/li>\n<li>Explain the meaning of the Industrial Internet<br \/>of Things (IIoT)<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item title=&#8221;Module 410: Data Visualization&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221; open=&#8221;off&#8221;]<\/p>\n<h4>This module aims to introduce you to data visualization by helping you:<\/h4>\n<ol>\n<li>Introduce you to system validation and its importance<\/li>\n<li>Give you an introduction into Data Governance<\/li>\n<li>Introduce you to IT systems and the risks and control measures associated with such systems<\/li>\n<\/ol>\n<h4>The learning objectives of this module are that you will be able to:<\/h4>\n<ol>\n<li>Explain why understanding business objectives, your audience, and insight needs all help you to better communicate data visually<\/li>\n<li>Apply a set of design steps to create a new graph<\/li>\n<li>Critically evaluate any visualization in terms of how informative and emotive it is using a set of criteria<\/li>\n<\/ol>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item title=&#8221;Module 420: Data Analytics&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221; open=&#8221;off&#8221;]<\/p>\n<h4>This module aims to give you an introduction to data analytics and how to DISCOVER, PREDICT, and PRESENT insights using data analytics tool. Some of the questions that will be asked during this module include:<\/h4>\n<ul>\n<li>What are the main types of analytics used to get insights from data?<\/li>\n<li>What is exploratory data analysis?<\/li>\n<li>How is data science different to business intelligence?<\/li>\n<li>What team members will I likely need to work with?<\/li>\n<li>What is the #1 challenge that organizations face regarding analytics?<\/li>\n<li>What are some of the common analytics tools used in biomanufacturing?<\/li>\n<\/ul>\n<h4>The learning objectives for this module will allow you to:<\/h4>\n<ol>\n<li>Define the three main types of analytics on the analytics spectrum<\/li>\n<li>Explain the purpose of exploratory data analysis<\/li>\n<li>List some analytics platforms\/tools and their suitability to discover, predict or report<\/li>\n<\/ol>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/myiaae.org\/\/wp-content\/uploads\/2026\/08\/2.2-300x160-1.png\" width=\"300\" height=\"160\" alt=\"\" class=\"wp-image-447 alignnone size-full\" \/><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digital Technology Enabling Data Acquisition, Visualization, and Analytics<div class=\"et_pb_module dsm_button dsm_button_0 et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module_inner\">\n\t\t\t\t\t<div class=\"et_pb_button_module_wrappers dsm_button_0_wrapper et_pb_button_alignment_center et_pb_module\">\n\t\t\t\t<a class=\"et_pb_button et_pb_button_one et_pb_custom_button_icon et_pb_bg_layout_light dsm-none \"  href=https:\/\/myiaae.org\/\/wp-content\/uploads\/2026\/08\/IAAE_course_catalog_2026_preview-1.pdf data-icon=\"&#x24;\" data-dsm-lightbox-id=\"dsm_button_one_lightbox dsm_button_0\" download><span>Download the course catalog<\/span><\/a>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>This online course is divided into three modules: Module 400 introduces data acquisition, analytics, and visualization. Module 410 covers data visualization techniques, such as graph design and evaluation, while Module 420 provides an introduction to data analytics, including the different types of analytics, team roles, and commonly used tools. 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