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[et_pb_section fb_built=”1″ admin_label=”Hero” _builder_version=”4.16″ custom_padding=”0px|0px|0px|0px” animation_style=”zoom” animation_intensity_zoom=”4%” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”1″ make_equal=”on” module_class=” et_pb_row_fullwidth” _builder_version=”4.16″ background_color=”#fcd21d” background_image=”https:\/\/people.utm.my\/norhaiza\/wp-content\/uploads\/sites\/1173\/2020\/03\/circle-background-pattern.png” width=”100%” width_tablet=”100%” width_phone=”” width_last_edited=”on|desktop” max_width=”100%” max_width_tablet=”100%” max_width_phone=”” max_width_last_edited=”on|desktop” custom_padding=”0px||0px|” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”3%” make_fullwidth=”on” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”10%|8%|10%|8%” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16.1″ text_font=”Montserrat|500||on|||||” text_text_color=”#353740″ text_font_size=”16px” text_letter_spacing=”3px” custom_margin=”||45px|” animation_style=”slide” animation_direction=”bottom” locked=”off” global_colors_info=”{}”]COURSE CODE: SSCM 3123[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” header_font=”Montserrat|700||on|||||” header_text_color=”#f7f7f7″ header_font_size=”60px” header_line_height=”1.3em” custom_margin=”||40px|” animation_style=”fade” header_font_size_last_edited=”off|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n

MULTIVARIATE <\/span>STATISTICS<\/span><\/h1>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”Montserrat||||” text_text_color=”#353740″ text_font_size=”20px” text_line_height=”1.8em” header_font=”||||||||” custom_margin=”||50px|” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”17%” locked=”off” global_colors_info=”{}”]<\/p>\n

An introduction to multivariate statistics\u00a0<\/p>\n

[\/et_pb_text][et_pb_button button_url=”#anchor1″ button_text=”Notes” module_id=”#recorded-lecture-haiza-ssce2193″ _builder_version=”4.16.1″ custom_button=”on” button_text_color=”#ffffff” button_border_width=”4px” button_border_color=”#ffffff” button_border_radius=”100px” button_letter_spacing=”2px” button_font=”Montserrat|on||on|” button_icon=”E||divi||400″ animation_style=”fade” button_text_color_hover=”#ffffff” button_border_color_hover=”#ffffff” button_letter_spacing_hover=”2px” button_bg_color_hover=”rgba(0,0,0,0)” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”on” button_text_color__hover=”#ffffff” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”on” button_border_color__hover=”#ffffff” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”2px” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”on” button_bg_color__hover=”rgba(0,0,0,0)” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”][\/et_pb_button][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ background_image=”https:\/\/people.utm.my\/norhaiza\/wp-content\/uploads\/sites\/1173\/2020\/04\/business_01.jpg” parallax=”on” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Service Section” _builder_version=”4.16″ custom_margin=”|||” custom_padding=”110px||110px|” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Service Section Title” _builder_version=”4.16″ custom_margin=”||40px|” animation_style=”fade” animation_direction=”top” saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Title” _builder_version=”4.16″ text_font=”Montserrat||||||||” text_text_color=”#747d88″ text_font_size=”16px” text_line_height=”1.9em” header_font=”||||||||” header_2_font=”Montserrat|700||on|||||” header_2_font_size=”42px” header_2_line_height=”1.3em” text_orientation=”center” max_width=”700px” module_alignment=”center” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”4%” global_colors_info=”{}”]<\/p>\n

COURSE CONTENT<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Title” _builder_version=”4.17.6″ text_font=”Montserrat||||||||” text_text_color=”#0C71C3″ text_font_size=”16px” text_line_height=”1.9em” header_font=”||||||||” header_2_font=”Montserrat|700||on|||||” header_2_font_size=”42px” header_2_line_height=”1.3em” text_orientation=”center” max_width=”700px” module_alignment=”center” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”4%” link_option_url=”https:\/\/people.utm.my\/norhaiza\/sscm3123-co-21222″ global_colors_info=”{}”]<\/p>\n

COURSE OUTLINE<\/span><\/strong><\/h3>\n

[\/et_pb_text][et_pb_text admin_label=”Subtitle” _builder_version=”4.16″ text_font=”Montserrat||||” text_text_color=”#747d88″ text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” text_orientation=”center” max_width=”700px” module_alignment=”center” custom_margin=”|||” animation_style=”slide” animation_direction=”bottom” animation_delay=”100ms” animation_intensity_slide=”4%” global_colors_info=”{}”]<\/p>\n

——————————————–<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” admin_label=”Services” _builder_version=”4.16″ max_width=”80%” custom_padding=”25px||25px|” use_custom_width=”on” width_unit=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Introduction to Multivariate Statistics” url=”https:\/\/youtube.com\/playlist?list=PLx9km_Nt01K6nnRc7wHDInlTki3jtqPEc” use_icon=”on” font_icon=”k||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 1<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Multivariate Normal Distribution” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”100ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 2<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Test of Inferences” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”200ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 3<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” admin_label=”Services” _builder_version=”4.16″ max_width=”80%” custom_padding=”25px||25px|” use_custom_width=”on” width_unit=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Principal Components Analysis” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 4<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Factor Analysis” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”100ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 6<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Canonical Correlation Analysis” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”200ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 5<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” admin_label=”Services” _builder_version=”4.16″ max_width=”80%” custom_padding=”25px||25px|” use_custom_width=”on” width_unit=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Correspondence Analysis” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”100ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” locked=”off” global_colors_info=”{}”]<\/p>\n

Chapter 6<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Logistic Regression Model” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”100ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}”]<\/p>\n

Chapter 7<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Cluster Analysis” use_icon=”on” font_icon=”||divi||400″ icon_color=”#fcd21d” image_icon_width=”60px” _builder_version=”4.16″ header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation_style=”zoom” animation_delay=”100ms” border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” locked=”off” global_colors_info=”{}”]<\/p>\n

Chapter 8<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Testimonial Section” _builder_version=”4.16″ custom_margin=”|||” custom_padding=”110px||110px|” global_colors_info=”{}” locked=”off”][et_pb_row admin_label=”Testimonial Title” _builder_version=”4.16″ custom_margin=”|||” animation_style=”fade” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”Montserrat|on||on|” text_text_color=”#353740″ text_font_size=”42px” text_line_height=”1.2em” text_orientation=”center” max_width=”700px” module_alignment=”center” global_colors_info=”{}”]<\/p>\n

DATACAMP<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”http:\/\/people.utm.my\/norhaiza\/wp-content\/uploads\/sites\/1173\/2020\/10\/datacamp-logo.png” title_text=”datacamp logo” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

This class is supported by DataCamp<\/a>, the most intuitive learning platform for data science and analytics. Learn any time, anywhere and become an expert in R, Python, SQL, and more. DataCamp\u2019s learn-by-doing methodology combines short expert videos and hands-on-the-keyboard exercises to help learners retain knowledge. DataCamp offers 350+ courses by expert instructors on topics such as importing data, data visualization, and machine learning. They\u2019re constantly expanding their curriculum to keep up with the latest technology trends and to provide the best learning experience for all skill levels. Join over 6 million learners around the world and close your skills gap.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16.1″ text_font=”Montserrat|on||on|” text_text_color=”#353740″ text_font_size=”42px” text_line_height=”1.2em” text_orientation=”center” max_width=”700px” module_alignment=”center” locked=”off” global_colors_info=”{}”]<\/p>\n

STUDENTS ON DATACAMP<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Subtitle” _builder_version=”4.16.1″ text_font=”Montserrat||||” text_text_color=”#747d88″ text_font_size=”16px” text_line_height=”1.8em” text_orientation=”center” max_width=”600px” module_alignment=”center” custom_margin=”|||” locked=”off” global_colors_info=”{}”]<\/p>\n

PRE-REGISTERED STUDENTS THIS SEMESTER<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”http:\/\/people.utm.my\/norhaiza\/wp-content\/uploads\/sites\/1173\/2023\/05\/2023-May10-MVA-S22223-DATACAMP-pdf.jpg” title_text=”2023 May10 MVA S22223 DATACAMP” _builder_version=”4.20.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”SEM2 2022\/2023″ number=”46″ percent_sign=”off” _builder_version=”4.20.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_number_counter][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Testimonial Section” _builder_version=”4.16.1″ background_color=”#D6D6D6″ custom_margin=”|||” custom_padding=”110px||110px|” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Testimonial Title” _builder_version=”4.16″ custom_margin=”|||” animation_style=”fade” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”Montserrat|on||on|” text_text_color=”#353740″ text_font_size=”42px” text_line_height=”1.2em” text_orientation=”center” max_width=”700px” module_alignment=”center” global_colors_info=”{}”]<\/p>\n

NOTES<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Subtitle” _builder_version=”4.16″ text_font=”Montserrat||||” text_text_color=”#747d88″ text_font_size=”16px” text_line_height=”1.8em” text_orientation=”center” max_width=”600px” module_alignment=”center” custom_margin=”|||” global_colors_info=”{}”][\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ admin_label=”Testimonial” _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial quote_icon=”off” _builder_version=”4.16.1″ body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” use_background_color=”off” animation_style=”slide” animation_direction=”left” animation_intensity_slide=”20%” global_colors_info=”{}”]<\/p>\n

Logistic Regression<\/p>\n

[\/et_pb_testimonial][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

COURSE CODE: SSCM 3123MULTIVARIATE STATISTICSAn introduction to multivariate statistics\u00a0COURSE CONTENTCOURSE OUTLINE——————————————–Chapter 1Chapter 2Chapter 3Chapter 4Chapter 6Chapter 5Chapter 6Chapter 7Chapter 8DATACAMPThis class is supported by DataCamp, the most intuitive learning platform for data science and analytics. Learn any time, anywhere and become an expert in R, Python, SQL, and more. DataCamp\u2019s learn-by-doing methodology combines short expert […]<\/p>\n","protected":false},"author":15793,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-3864","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/pages\/3864","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/users\/15793"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/comments?post=3864"}],"version-history":[{"count":10,"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/pages\/3864\/revisions"}],"predecessor-version":[{"id":4357,"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/pages\/3864\/revisions\/4357"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/norhaiza\/wp-json\/wp\/v2\/media?parent=3864"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}