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class="expanded active-trail menu-mlid-67251"><a href="https://www.ice.cam.ac.uk/node/263961" title="" class="active-trail">Data Science Career Accelerator</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed active-trail menu-mlid-67251"><a href="https://www.ice.cam.ac.uk/node/263961" title="" class="active-trail">Data Science Career Accelerator overview</a></li> <li class="last leaf active-trail active menu-mlid-67261 campl-current-page"><a href="/career-accelerators" class="active-trail active">Career Accelerators</a></li> </ul></li> <li class="leaf menu-mlid-70071"><a href="https://www.ice.cam.ac.uk/course/better-futures-programme" title="">Cambridge Better Futures Programme</a></li> <li class="expanded menu-mlid-2557"><a href="/courses/short-courses-madingley-hall">Weekend Courses</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-2557"><a href="/courses/short-courses-madingley-hall">Weekend Courses overview</a></li> <li class="leaf menu-mlid-44392"><a href="/courses/short-courses-madingley-hall/our-students">Student stories</a></li> <li class="last leaf menu-mlid-58651"><a href="/courses/short-courses-madingley-hall/booking-terms-and-conditions">Booking terms and conditions</a></li> </ul></li> <li class="expanded menu-mlid-58681"><a href="/courses/international-summer-programmes">International Summer Programme</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-58681"><a href="/courses/international-summer-programmes">International Summer Programme overview</a></li> <li class="expanded menu-mlid-2777"><a href="/courses/international-summer-programmes/accommodation">Accommodation</a><ul class="menu"><li class="first collapsed menu-mlid-2777"><a href="/courses/international-summer-programmes/accommodation">Accommodation overview</a></li> <li class="leaf menu-mlid-67351"><a href="https://www.ice.cam.ac.uk/courses/international-summer-programmes/accommodation/newnham-college" title="">Newnham College</a></li> <li class="leaf menu-mlid-18772"><a href="/courses/international-summer-programmes/accommodation/queens-college">Queens' College</a></li> <li class="leaf menu-mlid-61251"><a href="/courses/international-summer-programmes/accommodation/selwyn-college" title="">Selwyn College</a></li> <li class="leaf menu-mlid-61241"><a href="/courses/international-summer-programmes/accommodation/st-catharines-college" title="">St Catharine's College</a></li> <li class="last leaf menu-mlid-72571"><a href="/courses/international-summer-programmes/accommodation/st-johns-college">St John's College</a></li> </ul></li> <li class="leaf menu-mlid-61321"><a href="/courses/international-summer-programmes/tuition-and-accommodation-fees">Tuition and accommodation fees</a></li> <li class="leaf menu-mlid-67381"><a 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href="/courses/international-summer-programmes/100-patrons-100th-anniversary-international-summer-programme" title="Make a Donation">Make a Donation</a></li> <li class="last leaf menu-mlid-58691"><a href="/courses/international-summer-programmes/university-cambridge-summer-programme-register-your-interest">Register your interest</a></li> </ul></li> <li class="leaf menu-mlid-68301"><a href="/creative-writing-retreats">Creative Writing Retreats</a></li> <li class="last expanded menu-mlid-17082"><a href="/gift-vouchers">Gift vouchers for courses</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-17082"><a href="/gift-vouchers">Gift vouchers for courses overview</a></li> <li class="last leaf menu-mlid-17092"><a href="/gift-vouchers/terms">Terms and conditions</a></li> </ul></li> </ul></li> <li class="expanded menu-mlid-33002"><a href="/financial-support-overview-0" title="Financial Support section">Financial Support</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-33002"><a href="/financial-support-overview-0" title="Financial Support section">Financial Support overview</a></li> <li class="leaf menu-mlid-67301"><a href="https://www.ice.cam.ac.uk/bursaries-0" title="Bursaries">Bursaries </a></li> <li class="leaf menu-mlid-67311"><a href="https://www.ice.cam.ac.uk/concessions" title="Concessions">Concessions </a></li> <li class="leaf menu-mlid-67321"><a href="https://www.ice.cam.ac.uk/external-funding" title="External Funding">External Funding</a></li> <li class="last leaf menu-mlid-67331"><a href="https://www.ice.cam.ac.uk/ways-pay" title="Ways to Pay">How to Pay</a></li> </ul></li> <li class="expanded menu-mlid-531"><a href="/info-for-applicants" title="">Information for Students</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-531"><a href="/info-for-applicants" title="">Information for Students overview</a></li> <li class="leaf 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menu-mlid-67361"><a href="https://www.ice.cam.ac.uk/postgraduate-open-day-2024" title="">Postgraduate Open Day 2025</a></li> <li class="leaf menu-mlid-68391"><a href="/masters-open-week-2024" title="">Masters Open Week 2024 (Past)</a></li> <li class="last leaf menu-mlid-67411"><a href="https://www.ice.cam.ac.uk/events/open-daysweeks/undergraduate-open-day-2024" title="">Undergraduate Open Day 2024 (Past)</a></li> </ul></li> <li class="leaf menu-mlid-3395"><a href="/events/lectures">Lectures and Talks</a></li> <li class="leaf menu-mlid-2563"><a href="/events/cultural-events">Cultural events</a></li> <li class="leaf menu-mlid-68351"><a href="https://www.ice.cam.ac.uk/your-own-words-open-mic" title="">In Your Own Words: Open Mic</a></li> <li class="leaf menu-mlid-68311"><a href="https://www.ice.cam.ac.uk/in-conversation-with" title="">In Conversation with...</a></li> <li class="last leaf menu-mlid-67421"><a href="https://www.ice.cam.ac.uk/events/international-events" title="">International Events</a></li> </ul></li> <li class="last expanded menu-mlid-529"><a href="/about-us" title="">About Us</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-529"><a href="/about-us" title="">About Us overview</a></li> <li class="leaf menu-mlid-58521"><a href="/about-us/our-mission">Our Mission</a></li> <li class="leaf menu-mlid-61311"><a href="/150years">Our anniversary</a></li> <li class="expanded menu-mlid-1799"><a href="/about-us/staff-profiles/academic-staff" title="">Staff profiles</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first leaf menu-mlid-1800"><a href="/about-us/staff-profiles/academic-staff">Academic staff</a></li> <li class="leaf menu-mlid-1801"><a href="/about-us/staff-profiles/administrative-staff">Administrative staff</a></li> <li class="last leaf menu-mlid-1806"><a href="/about-us/staff-profiles/tutor-a-z">Tutor A-Z</a></li> </ul></li> <li class="expanded menu-mlid-2798"><a href="/about-us/student-stories">Student stories</a><ul class="campl-unstyled-list local-dropdown-menu"><li class="first collapsed menu-mlid-2798"><a href="/about-us/student-stories">Student stories overview</a></li> <li class="leaf menu-mlid-58661"><a href="/about-us/student-stories/advanced-diploma">Advanced Diploma</a></li> <li class="leaf menu-mlid-13742"><a href="/about-us/student-stories/archaeology-and-landscape-history">Archaeology and Landscape History</a></li> <li class="leaf menu-mlid-58411"><a href="/about-us/student-stories/architecture">Architecture</a></li> <li class="leaf menu-mlid-38972"><a href="/about-us/student-stories/biological-sciences">Biological Sciences</a></li> <li class="leaf menu-mlid-67191"><a href="/about-us/student-stories/classical-studies">Classical Studies</a></li> <li class="leaf menu-mlid-7812"><a href="/why-cambridge/student-stories/creative-writing">Creative Writing</a></li> <li class="leaf menu-mlid-7752"><a href="/why-cambridge/student-stories/education-studies-teaching">Education Studies and Teaching</a></li> <li class="leaf menu-mlid-58641"><a href="/about-us/student-stories/english-literature">English Literature</a></li> <li class="leaf menu-mlid-7832"><a href="/about-us/student-stories/history">History</a></li> <li class="leaf menu-mlid-7802"><a href="/why-cambridge/student-stories/coaching">Leadership and Coaching</a></li> <li class="leaf menu-mlid-44382"><a href="/about-us/student-stories/medicine-and-health-sciences">Medicine and Health Sciences</a></li> <li class="leaf menu-mlid-44402"><a href="/about-us/student-stories/online-courses">Online courses</a></li> <li class="leaf menu-mlid-7842"><a href="/why-cambridge/student-stories/philosophy">Philosophy, Ethics and Religion</a></li> <li class="leaf menu-mlid-7822"><a href="/why-cambridge/student-stories/international-development">Politics and International Studies</a></li> <li class="leaf menu-mlid-39002"><a 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class="campl-tertiary-navigation"> <div class="region region-left-navigation"> <div id="block-menu-block-2" class="block block-menu-block"> <div> <div class="menu-block-wrapper menu-block-2 menu-name-main-menu parent-mlid-0 menu-level-1"> <div class="campl-tertiary-navigation-structure"><ul class="campl-unstyled-list campl-vertical-breadcrumb"><li class="leaf menu-mlid-1808"><a href="/homepage">Institute of Continuing Education (ICE)<span class="campl-vertical-breadcrumb-indicator"></span></a></li><li class="first expanded active-trail menu-mlid-2546"><a href="/courses/search" title="" class="active-trail">Courses<span class="campl-vertical-breadcrumb-indicator"></span></a></li></ul><ul class="campl-unstyled-list campl-vertical-breadcrumb-navigation"><li class="first expanded active-trail menu-mlid-67251"><a href="https://www.ice.cam.ac.uk/node/263961" title="" class="active-trail">Data Science Career Accelerator</a><ul class="campl-unstyled-list campl-vertical-breadcrumb-children"><li 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href="https://www.ice.cam.ac.uk/course/better-futures-programme" title="">Cambridge Better Futures Programme</a></li> <li class="expanded menu-mlid-2557"><a href="/courses/short-courses-madingley-hall">Weekend Courses</a></li> <li class="expanded menu-mlid-58681"><a href="/courses/international-summer-programmes">International Summer Programme</a></li> <li class="leaf menu-mlid-68301"><a href="/creative-writing-retreats">Creative Writing Retreats</a></li> <li class="last expanded menu-mlid-17082"><a href="/gift-vouchers">Gift vouchers for courses</a></li> </ul></div></div> </div> </div> </div> </div> </div> <div class="campl-column6 campl-main-content" id="page-content"> <div class=""> <div class="region region-content"> <div id="block-system-main" class="block block-system"> <div> <div id="node-263961" class="node node-page clearfix"> <div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img class="campl-scale-with-grid" src="https://www.ice.cam.ac.uk/sites/www.ice.cam.ac.uk/files/styles/leading/public/fourthrev_x_ice_web_0.png?itok=6GBVvuyn" alt="" /></div></div></div> <div class="content campl-content-container"> <div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><h2><u><strong>Data Science With Machine Learning & AI Career Accelerator- in collaboration with FourthRev</strong></u></h2> <h3 style="line-height:1.38; margin-top:21px; margin-bottom:5px"><span style="font-size:13.999999999999998pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#434343"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">Build the skills, project experience, and commercial mindset to succeed as a leading data scientist.</span></span></span></span></span></span></h3> <p><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"><strong>Start Date:</strong> 22 April 2025</span></span></span></span></span></span></p> <p><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"><strong>Apply by:</strong> 14 April 2025</span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"><strong>Time Commitment:</strong> 20 hours per week </span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"><strong>Support:</strong> One-to-one career coaching plus weekly sessions with an industry expert </span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"><strong>Portfolio Development: </strong>Work on 20+ industry-relevant projects, including a live 6-week project with an organisation like the Bank of England </span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"><strong>Payment Plans: </strong>Flexible options available - enquire now</span></span></span></span></span></span></p> <hr /> <p style="line-height:1.38"><font color="#000000" face="Arial, sans-serif"><span style="font-size: 16px; white-space-collapse: preserve;"><b>See our course trailer here: </b></span></font></p> <p style="line-height:1.38"> </p> <p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/xTLB75_Kg98?si=uT2RUu2AfPLkDFtI" title="YouTube video player" width="560"></iframe></p> <p style="line-height:1.38"> </p> <hr /> <p style="line-height:1.38"><span style="font-size:12pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Why choose this Data Science Career Accelerator?</span></span></span></span></span></span></p> <p style="line-height:1.38"> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">The aim of this programme is to ensure that acquired data science skills and competencies are purposeful, aligned with real-world business needs, and offer the depth required for advanced roles in data science and AI.</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:12pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Key features and benefits:</span></span></span></span></span></span></p> <p> </p> <ul> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Comprehensive curriculum:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> Covering advanced topics such as machine learning, artificial intelligence (AI), natural language processing (NLP), time series analysis, and generative AI, ensuring you stay ahead in the fast-evolving field of data science.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Hands-on experience:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> Engage in practical, real-world projects designed to build your portfolio and demonstrate your ability to apply data science techniques to solve complex business problems.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Industry mentorship:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> Benefit from weekly sessions with industry experts, providing you with insights into current trends and best practices in the field of AI and machine learning.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">One-to-one career coaching:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> Receive personalised career guidance to help you navigate your career path, identify your strengths, and position yourself for success in senior data science roles.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Live industry projects</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">: Gain experience through a live project with a high-profile organisation, such as the Bank of England, where you will apply your skills to real data challenges.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Flexible learning:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> With a commitment of 20 hours per week, balance your professional development with other responsibilities through our structured yet flexible programme.</span></span></span></span></span></span></li> </ul> <p> </p> <p style="line-height:1.38"><span style="font-size:12pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Who should enrol?</span></span></span></span></span></span></p> <p> </p> <ul> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Aspiring data scientists:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> Ideal for individuals looking to transition into data science with a strong foundation in machine learning and AI.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Experienced professionals: </span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">Perfect for those already in data-related roles who want to deepen their expertise and move into senior data science positions.</span></span></span></span></span></span></li> <li aria-level="1" style="list-style-type:disc"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Career changers:</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none"> Suitable for professionals from adjacent fields looking to leverage data science skills to drive innovation and business growth.</span></span></span></span></span></span></li> </ul> <p> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">Find out more about entry requirements and your eligibility in the </span></span></span></span></span></span><a href="https://onlinecareeraccelerators.ice.cam.ac.uk/cambridge-data-science-career-accelerator"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:underline"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">programme brochure.</span></span></span></span></span></span></span></span></a></p> <p> </p> <p style="line-height:1.38"><span style="font-size:12pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Curriculum highlights:</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">1. </span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Machine Learning and AI</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">: Master regression, classification, boosting algorithms, and sophisticated ensemble techniques. Learn to develop and fine-tune advanced machine learning models tailored to diverse organisational scenarios.</span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">2. </span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Deep Learning</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">: Explore neural networks and deep learning techniques to draw hidden insights from complex data structures. Utilise frameworks like TensorFlow to build and optimise models.</span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">3.</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none"> Natural Language Processing (NLP)</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">: Delve into NLP to understand and generate human language, enhancing your ability to work with unstructured text data.</span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">4. </span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Time Series Analysis</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">: Gain expertise in analysing time series data, crucial for financial forecasting and trend analysis.</span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">5. </span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Generative AI</span></span></span></span></span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">: Discover the power of generative AI for creating new data instances and enhancing your analytical capabilities.</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">View the full curriculum breakdown by </span></span></span></span></span></span><a href="https://onlinecareeraccelerators.ice.cam.ac.uk/cambridge-data-science-career-accelerator"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:underline"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">requesting the programme brochure</span></span></span></span></span></span></span></span></a></p> <p> </p> <p style="line-height:1.38"><span style="font-size:12pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Testimonials</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:italic"><span style="text-decoration:none">“This is not a bootcamp, it’s not where you go to learn coding, it’s where you go to actually become a fully-fledged data scientist. It’s supposed to develop you into an industry-relevant data scientist, so that's why I chose this, because other programmes would focus on teaching Python, and at the end of the day, you don't actually get the fundamentals or the real background of everything, and how to apply that on a larger scale…currently in my job as a data scientist, I have to build business cases and make recommendations from analytical models….and in the end, I have to convince management to make certain types of Investment.” </span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">— Giwa., Current Learner</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:italic"><span style="text-decoration:none">“What I really like about the course is that there are lots of examples which relate back to business and how it can be applied in practical settings. I think what the course has done a very good job on is showing me how the theory is applied for real and I think that’s really important”. </span></span></span></span></span></span></p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">— James., Current Learner</span></span></span></span></span></span></p> <p style="line-height:1.38"> </p> <p style="line-height:1.38"> </p> <p><span style="font-size:12pt"><span style="font-family:Aptos,sans-serif"><i>“This programme isn’t just about theory – it’s about applying real-world learning to solve real-world challenges. It equips you to take the knowledge straight to your workplace and make an impact where it matters most.” </i></span></span></p> <p><span style="font-size:12pt"><span style="font-family:Aptos,sans-serif"> </span></span><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">— </span></span></span></span></span></span><span style="font-size:12pt"><span style="font-family:Aptos,sans-serif">Zarif, Current Learner</span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:12pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Join us for a transformative learning experience</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">Prepare to accelerate your career in data science with cutting-edge skills in machine learning and AI. Apply now to secure your place in this comprehensive program and take the next step towards becoming a leader in the field of data science.</span></span></span></span></span></span></p> <p> </p> <p style="line-height:1.38"><a href="https://onlinecareeraccelerators.ice.cam.ac.uk/cambridge-data-science-career-accelerator"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:700"><span style="font-style:normal"><span style="text-decoration:none">Apply now</span></span></span></span></span></span></a></p> <p style="line-height:1.38"><a 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href="https://us06web.zoom.us/rec/play/fzyjLju0gfdwaDZYCy5TsCLDl8aGIco59fwY_Z5yGcQq3aCenFTz3oauTTFt3tox0I48Dud4lEZ53HrZ.bGEb1SOK1JxVmoH0?canPlayFromShare=true&from=share_recording_detail&startTime=1726052405000&componentName=rec-play&originRequestUrl=https%3A%2F%2Fus06web.zoom.us%2Frec%2Fshare%2Fni5a0k0by2OtrmEFXuyummSVw-8PetPL6cCu3xLtzGkoc-IJYRHPbI60Sud5eaOo.v7YKphQoPG6GO1uy%3FstartTime%3D1726052405000">Watch Now</a></h3> <hr /> <h2><u><strong><a href="https://onlinecareeraccelerators.ice.cam.ac.uk/cambridge-data-science-career-accelerator">Apply for the Data Science With Machine Learning & AI Career Accelerator now.</a></strong></u></h2> <hr /> <h2><u><strong><a 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