{"id":19931,"date":"2024-01-31T05:02:25","date_gmt":"2024-01-31T05:02:25","guid":{"rendered":"https:\/\/research.utm.my\/bdc\/?page_id=19931"},"modified":"2024-04-24T08:38:09","modified_gmt":"2024-04-24T08:38:09","slug":"profcertds","status":"publish","type":"page","link":"https:\/\/research.utm.my\/bdc\/profcertds\/","title":{"rendered":"Professional Certificate in Data Science"},"content":{"rendered":"

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PROFESSIONAL CERTIFICATE IN DATA SCIENCE<\/h1>\n

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Take the first step towards a more rewarding career\u00a0 in data science. Join UTMBDC Professional Certificate\u00a0 program and gain the experties needed to thrive\u00a0 on today’s data driven <\/h3>\n

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We Are Open FOR PRIVATE GROUP REQUEST<\/h3>\n

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CAPSTONE PROJECT<\/h2>\n

MODULES:<\/p>\n

[\/et_pb_text][et_pb_blurb title=”Introduction to the Capstone Project and problem formulation ” use_icon=”on” font_icon=”N||divi||400″ icon_color=”#ffffff” icon_placement=”left” image_icon_width=”22px” content_max_width=”1100px” _builder_version=”4.24.0″ header_font=”|700|||||||” header_font_size=”16px” header_line_height=”1.4em” body_font=”||||||||” background_layout=”dark” custom_margin=”||5px” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation=”off” icon_font_size=”22px” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Projet Understanding” use_icon=”on” font_icon=”N||divi||400″ icon_color=”#ffffff” icon_placement=”left” image_icon_width=”22px” content_max_width=”1100px” _builder_version=”4.24.0″ header_font=”|700|||||||” header_font_size=”16px” header_line_height=”1.4em” body_font=”||||||||” background_layout=”dark” custom_margin=”||5px” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation=”off” icon_font_size=”22px” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Conceptual Design ” use_icon=”on” font_icon=”N||divi||400″ icon_color=”#ffffff” icon_placement=”left” image_icon_width=”22px” content_max_width=”1100px” _builder_version=”4.24.0″ header_font=”|700|||||||” header_font_size=”16px” header_line_height=”1.4em” body_font=”||||||||” background_layout=”dark” custom_margin=”||5px” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation=”off” icon_font_size=”22px” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Working Prototype” use_icon=”on” font_icon=”N||divi||400″ icon_color=”#ffffff” icon_placement=”left” image_icon_width=”22px” content_max_width=”1100px” _builder_version=”4.24.0″ header_font=”|700|||||||” header_font_size=”16px” header_line_height=”1.4em” body_font=”||||||||” background_layout=”dark” custom_margin=”||5px” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation=”off” icon_font_size=”22px” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Reporting” use_icon=”on” font_icon=”N||divi||400″ icon_color=”#ffffff” icon_placement=”left” image_icon_width=”22px” content_max_width=”1100px” _builder_version=”4.24.0″ header_font=”|700|||||||” header_font_size=”16px” header_line_height=”1.4em” body_font=”||||||||” background_layout=”dark” custom_margin=”||5px” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation=”off” icon_font_size=”22px” global_colors_info=”{}”][\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Coursers” _builder_version=”4.16″ min_height=”1417.2px” custom_padding=”3px||3px||true|” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_margin=”||20px” 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=”4.24.0″ text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” header_2_font=”|800||on|||||” header_2_font_size=”48px” header_2_letter_spacing=”1px” header_2_line_height=”1.4em” text_orientation=”center” max_width=”700px” module_alignment=”center” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”5%” header_2_font_size_tablet=”30px” header_2_font_size_phone=”20px” header_2_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

Our 9 Courses<\/h2>\n

COURSE LEVEL BEGINER, INTERMEDIATE & ADVANCED<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”INTRODUCTION TO DATA SCIENCE” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.24.0″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

In this course, participans will learn the concepts and fundamentals of\u00a0 Data Science. Participants also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skill they need.<\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Beginner<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Methodology and Tools For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

In this course, participants will learn the basics of Data Scientist tools, programming and methodology. Participant will introduce to phyton laguage, SQL, open source tool and data sets. \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Beginner<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Statistic For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

In this course participant will learn the basic principles of statistical methods and procedures used for data analysis. Participant will take a hands-on approach to statitistical analysis, including summarizing data.<\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Beginner<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Python Basic For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” locked=”off” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

Aliquam hendrerit dolor vitae tincidunt tempus. In faucibus quam at ex laoreet luctus convallis erat.\u00a0Aliquam hendrerit dolor vitae tincidunt tempus. In faucibus quam at ex laoreet luctus convallis erat.<\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Intermediate<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Analytics For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

In this course participant will teach participants how to analyze data using Python. This course will proceed from Python fundamentals through exploring numerous data types . Participants will learn to prepare data for analysis , conduct basic statistical analysis, introduce data visualizations, and predict future trend. <\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.24.0″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Intermediate<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Database For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” locked=”off” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

In this course participants will be exposed to the theory and practical of database and SQL with Python.Participants will be experiencing working with real databases real data science tools, and real-world\u00a0 datasets, creating a database instatnce in the cloud, buld and running SQL queries<\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Advanced<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Visualization For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

In this course participant will be exposed to different types of Python libraries and packages to visualize data in the data science workflow learn the basic principles of statistical methods and procedures used for data analysis. <\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Advanced<\/p>\n

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\u00a0This course will introduce the fundamentals of machine learning. Then, the participants will dive into supervised and unsupervised learning and learn how to implement these techniques in Python using the Scikit-learn library.<\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Advanced<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Deep Learning For Data Science” use_icon=”on” font_icon=”Z||divi||400″ icon_color=”#ffa53d” icon_placement=”left” image_icon_width=”32px” _builder_version=”4.16″ header_font=”|600|||||||” header_line_height=”1.8em” body_font=”||||||||” body_line_height=”1.8em” background_color=”#f4f4f4″ custom_margin=”||0px” custom_padding=”30px|30px|30px|30px|true|true” animation_style=”fade” animation_direction=”left” animation=”off” icon_font_size=”32px” global_colors_info=”{}” border_radii__hover=”on||||” border_radii__hover_enabled=”on||||”]<\/p>\n

The particpant will explore specifically convolutional neutral networks, understanding the applications of CNN and how to implement CNN using Keras and Tensorflow library in Python through a series of practical examples.<\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.16″ text_font=”|800|||||||” text_text_color=”#ffa53d” text_font_size=”16px” text_line_height=”1.8em” link_font=”||||||||” background_color=”#000000″ text_orientation=”right” background_layout=”dark” max_width=”80%” module_alignment=”right” custom_margin=”||0px” custom_padding=”10px|30px|10px|30px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” animation_starting_opacity=”100%” link_option_url=”#” locked=”off” global_colors_info=”{}” max_width__hover_enabled=”on” max_width__hover=”100%”]<\/p>\n

Advanced<\/p>\n

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Testimonials<\/h3>\n

[\/et_pb_text][et_pb_image src=”https:\/\/research.utm.my\/bdc\/wp-content\/uploads\/sites\/32\/2024\/01\/driving_school_10.png” align=”center” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.25.0″ global_colors_info=”{}”][\/et_pb_image][et_pb_slider _builder_version=”4.25.0″ body_font=”||on||||||” body_font_size=”20px” body_line_height=”1.9em” background_color=”rgba(0,0,0,0)” custom_padding=”0px||70px” body_font_size_tablet=”” body_font_size_phone=”16px” body_font_size_last_edited=”on|phone” global_colors_info=”{}”][et_pb_slide _builder_version=”4.25.0″ body_font=”||on||||||” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

“The program has opened my eyes on the beauty of data science, even though I do not have an IT background. It equips me with in-depth skills in data analysis, predictive modeling, and transforming data into valuable insight.”<\/p>\n

Abdul Raof
<\/strong><\/p>\n

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PROFESSIONAL CERTIFICATE IN DATA SCIENCETake the first step towards a more rewarding career\u00a0 in data science. Join UTMBDC Professional Certificate\u00a0 program and gain the experties needed to thrive\u00a0 on today’s data driven We Are Open FOR PRIVATE GROUP REQUESTCAPSTONE PROJECT MODULES:Our 9 Courses COURSE LEVEL BEGINER, INTERMEDIATE & ADVANCEDIn this course, participans will learn the […]<\/p>\n","protected":false},"author":11290,"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-19931","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/pages\/19931","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/users\/11290"}],"replies":[{"embeddable":true,"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/comments?post=19931"}],"version-history":[{"count":8,"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/pages\/19931\/revisions"}],"predecessor-version":[{"id":20288,"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/pages\/19931\/revisions\/20288"}],"wp:attachment":[{"href":"https:\/\/research.utm.my\/bdc\/wp-json\/wp\/v2\/media?parent=19931"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}