Applied Data Science Bootcamp

Become a Data Scientist in 6 months, taught over weekends.

14 SEPTEMBER 2019
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PART-TIME, IN-PERSON TRAINING
LONDON

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Want to accelerate your Data Science Career? 

Upskill to stay relevant and employable

The job market has changed. Industries have moved towards Data Science and Machine Learning. This has changed the skills required of analysts, engineers and developers, and driving increased demand for data scientists.

Open new career opportunities in Data Science and AI

Our Applied Data Science Bootcamp will advance your skills and you’ll gain practical industry experience working on real-world Data Science problems.

You’ll learn the most relevant techniques used by data science practitioners, develop a strong understanding of how to apply these techniques within your work, and receive personalised feedback to help you prepare for a career in Data Science.

Dr. Raoul-Gabriel Urma, CEO

Applied Data Science Bootcamp London

Get instant feedback as you practice

K.A.T.E.® — our unique AI-powered learning and development platform provides you with immediate feedback on your project submissions, ensuring you receive the support you need when you need it. Using K.A.T.E.®, you will learn how to write production-ready code and level up your programming skills to join a Data Science team.

Stay on track with on-demand videos

Live-coded video lectures are provided to help you recap and revise after each training weekend. Every topic is broken into bite-sized modules, providing step-by-step guidance to reinforce your learning.

Student Success Stories

  • "I would say I’m in a very different place, without this course I would not have landed my new job as a Data Scientist."

    Applied Data Science Bootcamp London
    Tola Alade
    Data Scientist
  • "There are an infectious passion and energy that comes across to you as a learner, and really kind of help you to have positive energy and maintain your focus on this really challenging, but extremely rewarding career"

    Applied Data Science Bootcamp London
    Jad Hinawi
    Managing Director, Cambridge Technology Matrix
  • "I experienced a proper transformation from being a non-tech person to a data scientist and landed a job on the spot. When asked “What do you do?”, I can now reply, “I’m a Data Scientist."

    Applied Data Science Bootcamp London
    Dmitriy Podkopaev
    Legal Data Scientist
  • “I think it was one of the best decision of my life. In 8 months, I learnt a lot and what is more, I found a job as a data scientist.”

    Applied Data Science Bootcamp London
    Aleksandra Zalecka
    Junior Data Scientist, Royal Mail

What’s included?

LEARNING

  • 160+ hours of hands-on, face to face learning
  • 120+ hours of collaborative, continuous-learning projects
  • 90+ hours contributing an end-to-end data science problem
  • From the start of the Bootcamp, you will have 9 months of access to all recorded live-coded videos
  • Immediate assessment of your code in a simulated industry environment
  • Applied Data Science Certification

SUPPORT

  • Peer learning via our slack community

  • Expert Advice and feedback from our specialist teaching team

  • Recommended job opportunities that match your skills

  • Continuous career support

  • Technical interview preparation and performance feedback

  • Expert advice and feedback from our specialist teaching team

NETWORKING

  • Two formal dinners at a historic Cambridge College
  • Evening drinks and socials
  • Networking opportunities and membership of our alumni network
  • Introductions to industry partners and hiring companies

What you will learn

  • This preparatory module covers all the essential programming skills, mathematical and statistical understanding,

    and knowledge of computer science principles you need to work in Data Science.
  • This module is designed to equip you with the skills to transform a real-world “dirty” dataset into a set of observations that can be analysed and then communicated to non-technical domain experts, executives and stakeholders.

  • This module is designed to ensure you understand the fundamental methods and industry best practices when developing machine learning models by applying a robust methodology. Emphasis will be placed on the evaluation and optimisation of models for different task demands and contexts.

  • This module is designed to help you gain the skills to develop and communicate models with simple, subtle or complex relationships between variables. You will also receive hands-on training in time series analysis.

  • The first part of this module is designed to help you develop the knowledge and skills to run experiments using resources available on state-of-the-art cloud environments. The second part of this module will teach you how to work with modern databases to store and query structured and unstructured data.

  • This module is designed to help you develop the knowledge and skills to design or make decisions on the computational architecture or ecosystem used for processing, storing retrieving, and analysing data.

     

  • This module is designed to ensure you understand the fundamental principles behind ensemble models and are able to evaluate them rigorously. You will also gain an in-depth understanding of the theory behind Support Vector Machines (SVMs), and develop the skills you need to build and evaluate SVM models.

  • This module is designed to ensure you have a strong understanding of how neural networks are constructed and how they operate. You will learn about different neural network architectures, ranging from simple single-layer architectures to complex deep learning architectures with many layers and more elaborate connection structures.

  • This module is designed to provide you with hands-on training in text processing, semantic analysis and sophisticated Machine Learning approaches.

  • This final training module is split into three core sections, building Recommender Systems, followed by model evaluation and interpretability, concluding with interview preparation and project allocations. Your final capstone project will be announced at the end of the session.

  • After completing the 10 modules, you will work independently on an end-to-end project from our supporters and industry partners. We will match you with an exciting data science problem and help you make professional contacts in the field for advice and career opportunities.

PREREQUISITES

  • Intermediate Python programming and use of the command line.
  • Basic probability and linear algebra.
  • Familiarity with Git.
Expert Tuition

160+ HOURS OF LIVE TUITION AND SUPPORT

Training weekends are entirely hands-on with tuition from our team of Data Scientists, Big Data Engineers and PhD’s from Cambridge, Oxford, Imperial College and University College London.
Each is experts in their field with a wealth of experience from some of the world’s most recognisable tech companies including Google, Oracle, Goldman Sachs, Amazon and CERN.
Patrick Short

Patrick Short
CEO, Heterogeneous
PhD, University of Cambridge

Kevin Lemagnen

Kevin Lemagnen
Senior Data Scientist
Cambridge Spark

Ekaterina Kochmar

Ekaterina Kochmar
NLP Research Associate
University of Cambridge

Sahan Bulathwela

Sahan Bulathwela
PhD
University College London

Andreas Gompos

Andreas Gompos
Data Scientist
University College London

Elena Hatzimihali

Elena Hatzimihali
Data Scientist
HSBC

Ricardo Pio Monti

Ricardo Pio Monti
Postdoctoral training fellow
University College London

Giuseppe Vettigli

Giuseppe Vettigli
Data Scientist
British Gas

Francois-Xavier Briol

Francois-Xavier Briol
Postdoctoral Researcher
Imperial College London

Alex Bird

Alex Bird
PhD
University of Edinburgh

Tim Hillel

Tim Hillel
Visiting Scholar, EPFL
University of Cambridge

David Illes

David Illes
‎Vice President
‎‎Morgan Stanley

James Owers

James Owers
PhD
University of Edinburgh

Schedule a call with our Head of Admissions to learn about the Bootcamp now!

Pricing

FULL PAYMENT

£ 7 940

Early bird: 31st March 2019

£ 6 940

Payment Plan

Three Instalments

£ 2 755

Early bird: 31st March 2019

£ 2 425

Monthly

Six Instalments

£ 1 440

Early bird: 31st March 2019

£ 1 275

All prices include VAT

Get in Touch 

CONTACT OUR ADMISSIONS TEAM

We will email you within the next 24 hours to arrange a quick call to help with any questions about the programme and recommend pre-course materials.

We look forward to speaking with you.

Start your application

FAQs