Applied Data Science Online Learning

Become a Data Scientist in 9 months, taught online with immediate support

01 FEBRUARY 2019 APPLY NOW

ONLINE TRAINING

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What you will learn

Online
Online

WEEKS 01-03
Essentials of Computer Science, Probability and Statistics

WEEKS 04-06
EDA, Feature Engineering and Unsupervised Learning

WEEKS 07-10
Supervised and Semi-Supervised Learning, Training and Validation

WEEKS 11-13
Regression Models and Time Series

WEEKS 14-16
Ensemble Models and Support Vector Classifiers

WEEKS 17-19
Cloud Computing and Databases

WEEKS 20-22
Big Data Systems

WEEKS 23-25
Neural Networks and Deep Learning

WEEKS 26-28
Natural Language Processing

WEEKS 29-36
Capstone Project

Get in touch with our Head of Admissions to learn about the course

How it works

UNIQUE CURRICULUM

You’ll complete the most comprehensive data science curriculum and progressively put together a portfolio to demonstrate your skills.
Our curriculum is made up of nine structured modules designed to rapidly develop your knowledge and understanding.
Each module comprises of learning activities, video lectures and project-based homeworks to complete at your own pace.
You'll get practical experience implementing state-of-the-art libraries and learn industry best practices to produce production-ready code.
Online
Online

IMMEDIATE SUPPORT

You will access our Knowledge Assessment Teaching Engine (K.A.T.E.®) - a online learning environment that simulates industry-style software development.
With K.A.T.E.®, you’ll get automatic and immediate feedback on your code submissions to develop and improve your skills.
Our expert tutors offer office hours to provide guidance and stimulate discussion to ensure you can reason about your methodology.
Interact with like-minded professionals via slack and peer-learn through mutual code reviews.

SKILLS DEVELOPMENT

Receive personalised, data-driven improvement plans based on your code submissions to keep on track.
You'll also get a report of common error feedback to support your learning progress.
Develop the industry specific skills to work effectively with data science and data analyst teams.
Understand the capabilities of machine learning models, and when/where to apply each technique to solve complex problems.
Online

CAPSTONE PROJECT

After completing the nine 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.

Final projects come from a range of sectors. Some examples include:

Deep Learning: automatic image classification
Time Series: visualising a portfolio of stocks
NLP: topic modeling for crowdfunding campaigns
Working on your own work related project is also supported

PREREQUISITES

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

STUDENT JOURNEY

You’ll complete the most comprehensive data science curriculum, designed for professionals looking to upskill while keeping their job.

Pricing


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.

Olivia Hughes

Olivia Hughes

Head of Admissions