Applied Data Science Course

Become a Data Scientist in 6 months, taught over weekends


Starting

30 September 2017

Location

In-person training, London

Duration

6 month, part-time course


About

Applied Data Science is an intensive, part-time course designed to equip you with the most relevant Data Science skills matching industry needs through a combination of hands-on training, independent learning and collaborative projects.

In this course you will:

  • Attend 10 intensive in-person training weekends
  • Build a professional portfolio completing projects on real-world data
  • Complete an end-to-end industry sponsored project
  • Earn industry recognised certification
  • Receive 1-on-1 mentorship from experts

To receive further information about our course curriculum and advisory board

Request course outline

What you will learn

  • Weeks 01-02 Essentials of Computer Science, Probability and Statistics
  • Weeks 03-04 EDA, Feature Engineering and Unsupervised Learning
  • Weeks 05-06 Supervised and Semi-Supervised Learning, Training and Validation
  • Weeks 07-08 Regression Models and Time Series
  • Weeks 09-10 Ensemble Models and Support Vector Classifiers
  • Weeks 11-12 Cloud Computing and Databases
  • Weeks 13-14 Neural Networks and Deep Learning
  • Weeks 15-16 Natural Language Processing
  • Weeks 17-18 Big Data Systems

Course Breakdown

155+ hours live tuition and support

Our on-site weekends include specialist lectures, hands-on activities and regular opportunities to present your work, discuss your findings and receive feedback.

300+ hours completing projects with a team of fellow students

Between each training weekend, you will receive a range of self-guided research tasks and project-based assignments to work on collaboratively.

90+ hours contributing to a real-world problem

After completing the nine modules, you will work independently on an end-to-end project sponsored by the Cambridge Judge Business School.


Why Attend?

Gain hands on experience working on industry-sponsored data science problems

Get exposure to the latest tools, techniques and industry best practices

Develop the essential reasoning and communication skills to explain your methods

Build your professional network and attend alumni events in London, Cambridge and Oxford

Enjoy a blend of flexible self-directed learning and in-person training weekends

Gain the most relevant qualification to join a Data Science team and hit the ground running



Prerequisites

  • Elementary Python programming and use of the command line. You can acquire these skills at our Python bootcamp.
  • Basic probability and linear algebra.

Audience

Individuals who want to master new technical skills and learn the latest techniques and industry best practices to work effectively with Data Science teams.


Pricing

Professional Development Track

Master new Data Science skills
Attend intensive training weekends, get mentored by industry experts and access a range of industry-sponsored problems to build your portfolio.

Register your interest

Data Science Career Track

Land a job in Data Science
Get the entire Professional Development track + comprehensive career support and introductions to our network of hiring companies.

Register your interest

Included in the course price? Professional Development Track Career Track
155+ hours of in-person tuition ✓ ✓
300+ hours of collaborative projects ✓ ✓
90+ hours of end-to-end data science problems ✓ ✓
Expert advice and feedback ✓ ✓
Applied Data Science Certification ✓ ✓
Two Cambridge college formal dinners ✓ ✓
Evening drinks and networking ✓ ✓
Continuous careers support ✓
Technical interview preparation ✓
Recommended job opportunities ✓
Introductions to hiring companies ✓
Standard Price £5,500 +VAT £7,000 +VAT
Early Bird (until 30/04/17) £4,550 +VAT £6,250 +VAT
Deposit at time of enrolment £950 £975
Monthly payments £500 £725

Find out more

Receive further information

Request course outline

Chat with our team

07711962403
contact@cambridgespark.com

Meet us on Tour

Join us at our Data Science Workshops taking place around the UK. View upcoming events.