Applied Data Science Online Learning
Become a Data Scientist in 9 months, taught online with immediate support
What is ADS Online ?
The Online Bootcamp combines our proven, industry-driven curriculum with personalised, self-paced learning. We equip you with the skills and practical experience needed to contribute to data science teams and produce production ready code.
During the course you will:
What you will learn
Over nine months, you’ll learn how to extract, clean, analyse and transform data into actionable insights with the most industry-relevant Applied Data Science Bootcamp, built with industry Project Partners. You’ll advance your career by building an enviable portfolio to evidence the tools, techniques and libraries you’ve applied, enabling you to secure employment in a field projected to soar in demand by 28% by 2020.
- Intermediate Python programming and use of the command line
- Basic probability and linear algebra
- Familiarity with Git
You’ll complete the most comprehensive data science curriculum, designed for professionals looking to upskill while keeping their job.
Schedule a call with our Head of Admissions to learn about the course!
How we are Different
Benefit from a self-paced, blended learning approach including live-coded online videos, interactive exercises and project-based assignments.
Gain hands-on experience working on a range of projects and put together a Data Science portfolio to demonstrate your skills.
Get immediate, personalised feedback on your project submissions using K.A.T.E.®, your learning and assessment platform
We simulate a real work environment using version control tools and coding best practices and Machine Learning methodologies to prepare you for industry
Enjoy a collaborative, peer learning environment where you will connect with individuals from all industries and gain insight into different problem-solving approaches
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.