Applied Data Analyst Bootcamp

Learn advanced analytics with Python in 3 months, taught over weekends

2ND NOVEMBER 2019
APPLY NOW

PART-TIME, IN-PERSON TRAINING
LONDON

WANT TO LEARN MORE?
BOOK A CALL WITH OUR TEAM

Who is the bootcamp for?

  • Anyone looking to perform data analysis in their roles
  • Anyone looking to become a Data Analyst
  • Anyone looking to transition into a career in Data Science and AI, without necessarily having the background to do so

Key features

  • Learn how to code with Python and how to perform advanced Data Analytics
  • Learn over weekends, in just three months
  • Network with your cohort and industry partners

Learn Advanced Data Analytics with Python while you work

Learn how to apply advanced Data Analytics to your role or transition careers

Are you looking to learn how to apply advanced Data Analytics tools and techniques to your role, or get a job as a Data Analyst, but don’t necessarily have the skills or background to do so?

This Bootcamp will help you learn the basics, bringing you up to speed on Data Analytics, ensuring you’re industry-ready to work as a Data Analyst.

It’s also the perfect stepping stone for those looking to progress their learning further into the field of Data Science and Machine Learning upon successfully completing the bootcamp with our Applied Data Science Bootcamp.

Upskill to stay relevant and employable

The job market has changed. Companies have access to tremendous amounts of data that can be used to optimise their strategies and industries are moving towards more data-driven business practices. This has fuelled a growing demand for Data Analysts and Data Scientists as businesses look to gain insights from their data to help them make more informed business decisions.

crew-56835-unsplash
k.a.t.e.® (knowledge assessment teaching engine) screenshot

Learn the most relevant techniques used in industry

Our Applied Data Analytics Bootcamp will advance your skills and prepare you for a career in Data Science and AI. You’ll gain practical industry experience working on real-world projects in a work-simulated environment, applying the techniques used every day by Data Analysts and Data Scientists.   

You will complete five real-world data analysis projects as you progress from the basics of programming in Python to more advanced modules such as Time Series and Software Development and Applications.

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 Analytics team.

Student Success Stories

  • “Cambridge Spark equipped me with the foundations that I needed to perform advanced analytics. This ultimately led to a promotion into a role that I really enjoy.”

    Andonis Pavlidis headshot cambridge spark
    Andonis Pavlidis
    Senior Customer Analyst, Farfetch
  • “I’ve been impressed by the friendliness, enthusiasm and expertise of the staff and instructors. They’ve created an open and inclusive culture, which is conducive to learning, whatever level you’re at.”

    Untitled design-108
    Michael Voghtmann Smith
    Co-Founder and CEO, Synfinitive

What’s included?

LEARNING

  • 70+ hours of hands-on, face to face learning
  • 100+ hours of collaborative, continuous-learning projects on our learning and development platform KATE
  • Immediate assessment of your code in a simulated industry environment
  • Certificate of attendance

SUPPORT

  • Peer learning via our slack community
  • Immediate, personalised feedback from K.A.T.E.®, when submitting projects
  • Continuous career support: recommended job opportunities, technical interview preparation, CV and LinkedIn profile review and feedback
  • Expert advice and feedback from our specialist teaching team

NETWORKING

  • Formal dinner at a historic Cambridge College
  • Evening drinks and socials
  • Networking opportunities and membership of our alumni network
  • Introductions to industry partners and hiring companies
  • Closed LinkedIn group to connect with past students already working within the Data Analytics / Data Science spaces

What you’ll learn

PREREQUISITES

  • Knowledge of basic statistics
  • No programming experience is needed but you should be comfortable using Excel
Expert Tuition

70+ 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 tutor is an expert 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.

 

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

 

Have any questions? Schedule a call with our team now

Pricing

Course

FULL PAYMENT

Paid upfront

£ 4,950
Super early bird discount (ends 19th August):
£ 3,950
Payment plan

Deposit + four monthly instalments

5 x £ 1,100
Super early bird discount (ends 19th August):
5 x £ 900

All prices are inclusive of V.A.T.

Get in Touch 

CONTACT OUR ADMISSIONS TEAM

We’ll send you a course outline and email you within the next working day 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.

FAQs