[vc_row height=”auto” bg_type=”grad” bg_grad=”background: -webkit-gradient(linear, left top, left bottom, color-stop(49%, #FFFFFF), color-stop(49%, #F2F2F2), color-stop(99%, #F2F2F2));background: -moz-linear-gradient(17deg,#FFFFFF 49%,#F2F2F2 49%,#F2F2F2 99%);background: -webkit-linear-gradient(17deg,#FFFFFF 49%,#F2F2F2 49%,#F2F2F2 99%);background: -o-linear-gradient(17deg,#FFFFFF 49%,#F2F2F2 49%,#F2F2F2 99%);background: -ms-linear-gradient(17deg,#FFFFFF 49%,#F2F2F2 49%,#F2F2F2 99%);background: linear-gradient(17deg,#FFFFFF 49%,#F2F2F2 49%,#F2F2F2 99%);” css=”.vc_custom_1512592486264{padding-top: 150px !important;padding-bottom: 60px !important;}”][vc_column][vc_row_inner][vc_column_inner width=”5/6″][ultimate_heading main_heading=”Introduction to Data Science” heading_tag=”h1″ alignment=”left” main_heading_font_family=”font_family:Nunito|font_call:Nunito|variant:600″ main_heading_style=”font-weight:600;” main_heading_margin=”margin-bottom:30px;”][/ultimate_heading][/vc_column_inner][vc_column_inner width=”1/6″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][/vc_column_inner][/vc_row_inner][vc_row_inner content_placement=”middle”][vc_column_inner width=”1/2″][vc_column_text]
In this half-day masterclass, participants will leave with a solid understanding of the landscape of the new world and umbrella term that is ‘Data Science’.
This course draws relevant examples from the industry (and related industries) of our participants to supplement theory, history and discussion of the very latest trends and technologies that data driven organisations are harnessing to reap huge business rewards.
[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″ css=”.vc_custom_1511657384250{background-position: 0 0 !important;background-repeat: no-repeat !important;}”][us_image image=”631″ size=”full” align=”center”][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row height=”auto” bg_type=”grad” bg_grad=”background: -webkit-gradient(linear, left top, left bottom, color-stop(35%, #FFFFFF), color-stop(35%, #F2F2F2), color-stop(100%, #F2F2F2));background: -moz-linear-gradient(166deg,#FFFFFF 35%,#F2F2F2 35%,#F2F2F2 100%);background: -webkit-linear-gradient(166deg,#FFFFFF 35%,#F2F2F2 35%,#F2F2F2 100%);background: -o-linear-gradient(166deg,#FFFFFF 35%,#F2F2F2 35%,#F2F2F2 100%);background: -ms-linear-gradient(166deg,#FFFFFF 35%,#F2F2F2 35%,#F2F2F2 100%);background: linear-gradient(166deg,#FFFFFF 35%,#F2F2F2 35%,#F2F2F2 100%);” css=”.vc_custom_1514537262216{padding-top: 20px !important;padding-bottom: 50px !important;}”][vc_column][vc_row_inner][vc_column_inner offset=”vc_col-md-offset-1 vc_col-md-10″][ultimate_heading main_heading=”Some of the highlights of this course include” main_heading_color=”#2b479c” sub_heading_margin=”margin-bottom:30px;”][/ultimate_heading][/vc_column_inner][/vc_row_inner][ultimate_spacer height=”60″][vc_row_inner][vc_column_inner el_class=”icon-row” width=”1/2″][bsf-info-box icon_type=”custom” icon_img=”id^603|url^https://sensanalytics.files.wordpress.com/2023/03/92e86-data-science-icon.png|caption^null|alt^null|title^Data Science Icon|description^null” img_width=”120″ title=”BI-BA-ML-AI” hover_effect=”style_3″ pos=”left” el_class=”highlight-box”]How does Data Science fit in among the world of traditional Business Intelligence & Business Analytics? What do the terms Machine Learning, Artificial Intelligence, Big Data, Data Science and the like really mean in a practical business sense?
In this section we set the scene, break down the jargon and cut to the chase so you are able to talk the talk and understand when external parties may be attempting to overload you with technical acronyms.[/bsf-info-box][/vc_column_inner][vc_column_inner el_class=”icon-row” width=”1/2″][bsf-info-box icon_type=”custom” icon_img=”id^627|url^https://sensanalytics.files.wordpress.com/2023/03/6a63e-data-science-top-image-e1514534729868.png|caption^null|alt^null|title^Data Science Top Image|description^null” img_width=”120″ title=”Types of Data Science & The Myth of The Data Science ‘Unicorn’” hover_effect=”style_3″ pos=”left” el_class=”highlight-box”]In this section we break down ‘Data Science’ into its core components before moving into one of the most well known ones, Machine Learning. Here we will introduce you to the popular notion of the Data Science Unicorn and why it may be a misleading proposition for your organisation.
We will briefly cover some of the major types of Machine Learning algorithms and how they may be used in a practical business sense. We will draw from historical examples as well as modern, relevant examples to the job function & industry of our participants.
[/bsf-info-box][/vc_column_inner][/vc_row_inner][ultimate_spacer height=”30″ height_on_mob_landscape=”0″ height_on_mob=”0″][vc_row_inner][vc_column_inner el_class=”icon-row” width=”1/2″][bsf-info-box icon_type=”custom” icon_img=”id^602|url^https://sensanalytics.files.wordpress.com/2023/03/b44ed-home-icon-7.png|caption^null|alt^null|title^Home-Icon-7|description^null” img_width=”120″ title=”The lifecycle of a typical Data Science project” hover_effect=”style_3″ pos=”left” el_class=”highlight-box” css_info_box=”.vc_custom_1514505762028{margin-bottom: 10px !important;}”]In this section we provide an overview of some of the industry standard processes and frameworks for conducting data science projects. This should give participants a feel for the major stages in a typical project, the kind of deliverables that should be expected and how this kind of project may differ from more traditional projects & project management methodologies.[/bsf-info-box][/vc_column_inner][vc_column_inner el_class=”icon-row” width=”1/2″][bsf-info-box icon_type=”custom” icon_img=”id^599|url^https://sensanalytics.files.wordpress.com/2023/03/77e26-home-icon-4.png|caption^null|alt^null|title^Home-Icon-4|description^null” img_width=”120″ title=”Building Data Science capabilities in your organisation” hover_effect=”style_3″ pos=”left” el_class=”highlight-box” css_info_box=”.vc_custom_1514505772682{margin-bottom: 10px !important;}”]We conclude the masterclass by bringing it back to the element at the heart of this; the organisation. We bust some well-sung myths about what you do and do not need to begin harnessing the power of Data Science in your organisation and provide a practical step-by-step guide for how you can begin to build the Data Science capability of your organisation.[/bsf-info-box][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row]
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