{"id":5256,"date":"2018-05-16T17:44:50","date_gmt":"2018-05-16T17:44:50","guid":{"rendered":"http:\/\/www.galileo.edu\/page\/?page_id=5256"},"modified":"2023-09-08T20:59:52","modified_gmt":"2023-09-08T20:59:52","slug":"master-in-data-science","status":"publish","type":"page","link":"https:\/\/www.galileo.edu\/page\/master-in-data-science\/","title":{"rendered":"Master in Data Science"},"content":{"rendered":"

[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(0,1,89,0.82) 0%|rgba(41,196,169,0.87) 100%” background_color_gradient_start=”rgba(0,1,89,0.82)” background_color_gradient_end=”rgba(41,196,169,0.87)” background_image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/header-maestria-en-ciencia-de-datos.jpg” background_blend=”multiply” custom_padding=”2%|0%|8%|0%|false|false” custom_padding_tablet=”” custom_padding_phone=”” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|phone” disabled_on=”on|on|off” _builder_version=”4.16″ width=”90%” max_width=”90%” module_alignment=”left” custom_padding=”0%|0%|0%|4%” custom_padding_tablet=”” custom_padding_phone=”” use_custom_width=”on” width_unit=”off” custom_width_percent=”90%” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/08\/Logo-Galileo-blanco-e1534542434463.png” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”1%|86%|1%|0%” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|phone” disabled_on=”off|off|on” _builder_version=”4.16″ module_alignment=”center” custom_padding=”0%|0%|0%|0%” custom_padding_tablet=”” custom_padding_phone=”” use_custom_width=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/08\/Logo-Galileo-blanco-e1534542434463.png” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”1%|40%|1%|40%” custom_padding_tablet=”” custom_padding_phone=”|30%||30%” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”2%|0%|2%|0%” custom_padding_tablet=”” custom_padding_phone=”” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text disabled_on=”off|off|off” _builder_version=”4.16″ text_font=”||||||||” text_line_height=”2.3em” header_font=”Montserrat|700|||||||” header_text_color=”#ffffff” header_font_size=”45px” header_2_font=”Montserrat|300|||||||” header_2_text_color=”#ffffff” header_2_font_size=”25px” header_2_line_height=”1.1em” text_line_height_tablet=”” text_line_height_phone=”” text_line_height_last_edited=”on|desktop” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” header_2_font_size_tablet=”” header_2_font_size_phone=”” header_2_font_size_last_edited=”on|desktop” header_2_line_height_tablet=”” header_2_line_height_phone=”” header_2_line_height_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

Master in Data Science<\/h1>\n

with MicroMasters\u00ae Program in “Statistics & Data Science”
\nof MIT – Massachusetts Institute of Technology<\/h2>\n

[\/et_pb_text][et_pb_image src=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/Logotipo-edx-mm.png” align=”center” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” disabled_on=”off|off|off” _builder_version=”4.16″ custom_padding=”0%|35%|0%|35%” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”2%|0%|2%|0%” custom_padding_tablet=”” custom_padding_phone=”” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_button button_url=”#info” button_text=”More information” button_alignment=”center” _builder_version=”4.16″ custom_button=”on” button_text_size=”25px” button_text_color=”#000000″ button_bg_color=”#efef83″ button_bg_color_gradient_stops=”#b89958 0%|#7f6a3b 100%” button_bg_color_gradient_start=”#b89958″ button_bg_color_gradient_end=”#7f6a3b” button_border_width=”0px” button_font=”Open Sans|600|||||||” button_use_icon=”off” custom_margin=”2%|||” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|desktop” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”” button_text_size_phone=”16px” button_text_size_last_edited=”on|desktop” box_shadow_style=”preset2″ button_text_color_hover=”#ffffff” button_border_radius_hover=”47px” button_letter_spacing_hover=”3px” button_bg_color_hover=”#00b6cc” global_colors_info=”{}” button_letter_spacing_hover_last_edited=”on|desktop” 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=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”on” button_border_radius__hover=”47px” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”3px” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”on” button_bg_color__hover=”#00b6cc” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off” button_letter_spacing_hover_tablet=”3px” button_letter_spacing_hover_phone=”3px”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.16″ background_color=”#0057bf” custom_padding=”2%|0%|3%|0%|false|false” custom_padding_tablet=”60px|60px|60px|60px” custom_padding_phone=”5%|0%|2%|0%” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|phone” module_id=”carrera” _builder_version=”4.16″ custom_padding=”2%|0%|0%|0%|false|false” custom_padding_tablet=”” custom_padding_phone=”5%|0%|0%|0%” 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=”||||||||” header_font=”||||||||” header_text_color=”#ffffff” header_2_font=”Raleway||||||||” header_2_text_align=”center” header_2_text_color=”#ffffff” header_2_font_size=”35px” custom_margin_phone=”|||” custom_margin_last_edited=”off|desktop” custom_padding_tablet=”” custom_padding_phone=”0%|0%|0%|0%” custom_padding_last_edited=”on|phone” header_font_size_tablet=”” header_font_size_phone=”20px” header_font_size_last_edited=”on|phone” header_2_font_size_tablet=”” header_2_font_size_phone=”25px” header_2_font_size_last_edited=”on|desktop” header_2_line_height_tablet=”” header_2_line_height_phone=”1em” header_2_line_height_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Why study this Master in Data Science?<\/strong><\/h2>\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” custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_margin_phone=”|||” custom_margin_last_edited=”off|desktop” custom_padding=”2%|0%|0%|0%|false|false” custom_padding_tablet=”” custom_padding_phone=”0%|0%|2%|0%” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/02\/check.png” icon_placement=”left” _builder_version=”4.16″ body_font=”||||||||” body_text_color=”#ffffff” body_font_size=”16px” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” global_colors_info=”{}”] You will have academic credentials from MIT and Galileo University, this will give you a differentiator that will highlight you, to enter the labor market sooner.
\n[\/et_pb_blurb][et_pb_blurb image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/02\/check.png” icon_placement=”left” _builder_version=”4.16″ body_font=”||||||||” body_text_color=”#ffffff” body_font_size=”16px” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” global_colors_info=”{}”] You will receive courses with a select group of international professors, recognized worldwide, both in the academic field and in the Data Science industry.
\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 image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/02\/check.png” icon_placement=”left” _builder_version=”4.16″ body_font=”||||||||” body_text_color=”#ffffff” body_font_size=”16px” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” global_colors_info=”{}”] You will be able to develop tools and products that use science to make better predictions and guide you to make the best decisions for a company.
\n[\/et_pb_blurb][et_pb_blurb image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/02\/check.png” icon_placement=”left” _builder_version=”4.16″ body_font=”||||||||” body_text_color=”#ffffff” body_font_size=”16px” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” global_colors_info=”{}”] You will develop intelligent algorithms in specialized tools and languages \u200b\u200bsuch as Python, R, SQL, Shiny Apps, among others.
\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 image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/02\/check.png” icon_placement=”left” _builder_version=”4.16″ body_font=”||||||||” body_text_color=”#ffffff” body_font_size=”16px” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” global_colors_info=”{}”] You will be a highly qualified professional to fill the highest paid jobs in the Data Science labor market.
\n[\/et_pb_blurb][et_pb_blurb image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2018\/02\/check.png” icon_placement=”left” _builder_version=”4.16″ body_font=”||||||||” body_text_color=”#ffffff” body_font_size=”16px” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” global_colors_info=”{}”] You will be able to develop in the retail, manufacturing, technology and innovation industries and companies that seek to base their decisions using large amounts of data.
\n[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.16″ background_color=”#fcfcfc” custom_padding=”2%|0%|2%|0%|false|false” custom_padding_tablet=”60px|60px|60px|60px” custom_padding_phone=”5%|0%|2%|0%” global_colors_info=”{}”][et_pb_row disabled_on=”off|off|off” _builder_version=”4.16″ 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″ header_font=”||||||||” header_2_font=”Raleway||||||||” header_2_text_align=”center” header_2_text_color=”#1d1d1b” header_2_font_size=”35px” custom_margin_tablet=”” custom_margin_phone=”||-5%|” custom_margin_last_edited=”on|phone” header_2_font_size_tablet=”” header_2_font_size_phone=”25px” header_2_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

Process to obtain mastery<\/strong><\/h2>\n

[\/et_pb_text][et_pb_image src=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/11\/Proceso-de-certificacion-data-science-desktop-2-ingles-.png” show_in_lightbox=”on” align=”center” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_orientation=”center” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” global_colors_info=”{}”]Virtual option in Spanish from 2020 for the Postgraduate in Analysis and Prediction of data.
\nThe MIT MicroMasters program in Statistics and Data Science is completely virtual and in English via edX.
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|phone” _builder_version=”4.16″ custom_margin_tablet=”” custom_margin_phone=”|||” custom_margin_last_edited=”on|phone” custom_padding=”50px|0px|29px|0px|false|false” custom_padding_tablet=”” custom_padding_phone=”2%|0%|0%|0%” 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″ header_font=”||||||||” header_2_font=”Raleway||||||||” header_2_text_align=”center” header_2_text_color=”#1d1d1b” header_2_font_size=”35px” custom_margin_tablet=”” custom_margin_phone=”||-5%|” custom_margin_last_edited=”on|phone” header_2_font_size_tablet=”” header_2_font_size_phone=”25px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Program Details<\/strong><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ _builder_version=”4.16″ custom_padding=”27px|0px|0|0px|false|false” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Institute” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/Facultad-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] Operations Research Institute
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Director” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/director-fisicc-.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] Jorge Samayoa, Ph.D.
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Degree upon graduation” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/diploma-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] Master in Data Science
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Headquarters” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/sede-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] Face-to-face: Central campus, zone 10, Guatemala city.<\/p>\n

Virtual: edX
\n[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ _builder_version=”4.16″ custom_padding=”0|0px|30px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Duration” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/duracion-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] 2 years
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Modality” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/modalidad-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] 1 classroom year<\/p>\n

1 virtual year
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Time” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/jornada-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] Face-to-face: Night from 6:00 p.m. to 9:00 p.m.<\/p>\n

Virtual: on your own schedule
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Academic cycle” image=”http:\/\/www.galileo.edu\/page\/wp-content\/uploads\/2019\/07\/ciclo-academico-fisicc.png” image_icon_width_tablet=”” image_icon_width_phone=”” image_icon_width_last_edited=”on|desktop” _builder_version=”4.16″ header_font=”Raleway|700|||||||” header_text_align=”center” header_text_color=”#000000″ body_font=”Raleway||||||||” body_text_align=”center” body_line_height=”1.2em” animation_style=”fade” header_font_size_tablet=”” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” body_font_size_tablet=”” body_font_size_phone=”” body_font_size_last_edited=”on|desktop” icon_font_size_tablet=”” icon_font_size_phone=”” icon_font_size_last_edited=”on|desktop” global_colors_info=”{}”] Quarterly
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Syllabus<\/h2>\n

[\/et_pb_text][et_pb_accordion icon_color=”#ffffff” _builder_version=”4.16″ toggle_level=”h3″ toggle_font=”Open Sans|700|||||||” toggle_text_align=”left” body_font=”Open Sans||||||||” body_line_height=”1.4em” toggle_font_size_tablet=”” toggle_font_size_phone=”” toggle_font_size_last_edited=”on|desktop” global_colors_info=”{}”][et_pb_accordion_item title=”blank” open=”on” _builder_version=”4.16″ custom_css_main_element=”display:none;” global_colors_info=”{}”][\/et_pb_accordion_item][et_pb_accordion_item title=”Postgraduate in Analysis and data prediction” _builder_version=”4.16″ background_color=”#efefef” global_colors_info=”{}” open=”off”]<\/p>\n\n\n\n\n
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1st. cycle<\/h3>\n
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  • Data Science in Python<\/li>\n
  • Design and Construction of Data Warehouses<\/li>\n
  • Applied Statistics to Data Science I<\/li>\n<\/ul>\n<\/td>\n

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2nd. cycle<\/h3>\n
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  • Econometrics in R<\/li>\n
  • Statistical Learning I<\/li>\n
  • Statistics Applied to Data Science II<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

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3rd. cycle<\/h3>\n
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  • Algorithms in Data Science<\/li>\n
  • Text Mining & Image Recognition<\/li>\n
  • Statistical Learning II<\/li>\n<\/ul>\n<\/td>\n

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4th. cycle<\/h3>\n