Become a developer with numerous career paths
This comprehensive Data Science Bootcamp teaches you Python, the essentials of probability and statistics for data analysis and visualisation, data science libraries such as NumPy, pandas, scikit-learn, and the fundamental concepts of machine learning. After this online Data Science Bootcamp, you’ll graduate with the practical and in-demand skills you need in order to be career-ready.
What you’ll learn
Level 1 | Python for Data Science
01 | Introduction to Python
Get acquainted with the basics of Python, a powerful and popular programming language used extensively by data scientists.
02 | Functions
Learn how to define and call functions that accept parameters and return values. As a data scientist, you’ll often define functions to solve problems that data poses to you.
03 | Object Oriented Programming
Gain an understanding of abstraction, encapsulation, inheritance, and polymorphism to give a good design to your Python code.
04 | Natural Language Processing (NLP)
Learn how to deal with text and speech. Transform text into tabular data and build models to extract topics and detect spam. Use libraries like SpaCy that solve NLP problems.
05 | Capstone projects (3)
Use your knowledge of programming in Python to create a useful program. Challenge yourself by undertaking a project on introductory Natural Language Processing (NLP) and Sentiment Analysis.
In addition to creating new database systems, data architects find ways to improve the performance and functionality of existing systems.
Software Engineer
Create data funnels and deliver software solutions. They are also responsible for running tests and experiments to monitor the performance and functionality thereof.
Machine Learning Engineer
Designs and tracks the behaviour of applications used within a business and how they interact with each other and with users.
Applications Architect
Design and develop strategies to assist business users in quickly finding the information they need to make better business decisions.
Business Intelligence (BI)
Developer
Perform batch or real-time processing on gathered and stored data. Data engineers are also responsible for building and maintaining data pipelines.
Data Engineer
Examines and analyses business processes as well as finds efficiencies and takes on a leadership position within project teams.
Business Analyst
Level 2 | Data Analytics and Exploration
Level 3 | Machine Learning and AI
Level 4 | 90-day Graduate Program
Nabeel Moosajee
Data Scientist Bootcamp
"The course offers an abundance of superior and high-quality practical coding skills, unlike many other conventional courses. Additionally, the flexibility of the course is extremely convenient as it enables me to work at a time that is favourable and well-suited for me as I am employed full-time.”
Whether you are studying full-time or part-time, you’ll have access to code review and feedback from industry experts in real time. Set your schedule to suit your needs, and look forward to working your way through industry-aligned content that will empower you in your new career.
One curriculum. Two different ways to study.
Learn to code with
Imperial College London
and HyperionDev
Pay for your bootcamp over up to 12 months with Knoma.
Valid for all employed UK residents of 18 years or older.
Imperial College London is partnering with online education provider HyperionDev to offer a portfolio of high impact outcomes-oriented online programmes. These programmes are provided by HyperionDev and quality assured by Imperial College London to leverage their thought leadership in technical practice developed over decades of expertise.
Data is only as valuable as the person interpreting it. In this highly intensive and skills-focussed online Data Science Bootcamp, you’ll learn how to use the best software and techniques to read visual and statistical data and present it in a way that solves real-world problems. Master the Python programming language, learn the fundamentals of machine learning and start using data science libraries such as scikit-learn, NumPy, Matplotlib and pandas. As data becomes the world’s most valuable resource, the demand for data scientists is rising rapidly. Master the tools, techniques and knowledge required to think like a data scientist and switch to this highly valued, sought-after career.
Master the essentials of Data Science and Python programming
Whether you're looking to learn part-time or full-time, you can gain the experience you need to be career-ready, backed by a renowned university ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities (Research Excellence Framework 2021).
Don’t miss the opportunity to gain in-demand skills, quality assured by Imperial College London, ranked number 10 in the world by The Times Higher Education World University Rankings 2023.
Includes:
Python, scikit-learn, NumPy, Matplotlib, pandas, and more
For those who want to:
Learn the skills needed to launch a Data Science career
Learn the essentials of probability and statistics for data analysis & visualisation
Understand the fundamental concepts of machine learning
Data Science Online Bootcamp
Why you should switch to a career in tech
Developers enjoy some of the highest-paying careers in the world, with the freedom and skills to find work remotely and internationally. They can work from anywhere and have rich work opportunities, as they have the skills that our modern, increasingly digital world rely on to do business.
Enjoy incredible career freedom and work opportunities.
Learn skills that are needed by businesses of all kinds.
Developers make some of the highest salaries in the world.
Being a coder is challenging, interesting, and rewarding work.
So many ways to pay
FAQs
Sure you can. Many of our students successfully switch careers to programming after completing our bootcamps, even if they were absolutely new to programming when starting out.
If your aim is to change careers, full or part-time bootcamps are designed to help you achieve that. To enrol with us, you don’t need to have a degree or prior technical background - all you need is discipline, persistence, and a willingness to work hard and learn to code.
No coding experience required
Study from anywhere
Student funding available
Funding options available
Flexible payment plans available
Upgrade your skills and raise your salary
No previous coding experience required
Duration
Time commitment
Review time
Support
Full-Time
3 months
40 hours per week
Complete as many coding tasks per month as you want
Code review & feedback 36 hours on weekdays
Quality, professional feedback on all coding submissions
Part-Time
6 months
10-20 hours per week
Complete up to 25 coding tasks each month
Code review & feedback 48 hours on weekdays
Quality, professional feedback on all coding submissions
I don’t have any background in coding, IT, or computer science. Can I still apply for the Data Science Bootcamp programme?
I don’t have regular access to the Internet. Would that be a problem as all of your bootcamps are online?
Our students don't need access to the internet every day. Our bootcamp delivery is designed so that you can download the material and work on your tasks offline. Once you are connected to the Internet, all the work in your folder automatically gets synchronised with your mentor, who will be notified immediately and will provide feedback right away.
Will I receive a certificate after I complete the bootcamp?
Yes, you will be issued a certificate of completion from HyperionDev in partnership with Imperial College London once you complete your bootcamp. The certificate also lists all our content partners and supporting organisations, including Google and Facebook.
How much time do I need to commit to complete one of your bootcamps?
We recommend devoting an average of 8 hours per week to complete a bootcamp within 3 to 6 months. However, our bootcamps are designed to be flexible to your learning needs and goals. If you find yourself running out of time, you can extend your bootcamp time by purchasing additional months of mentor support and access to the training material. This means you can take as long as you need to complete the bootcamp and gain the certificate, as well as the confidence to become a developer.
6
NEXT COHORT STARTS
6 June 2023
3-6 months part-time or full-time
BOOTCAMP DURATION
Sure you can. Many of our students successfully switch careers to programming after completing our bootcamps, even if they were absolutely new to programming when starting out. If your aim is to change careers, full or part-time bootcamps are designed to help you achieve that. To enrol with us, you don’t need to have a degree or prior technical background - all you need is discipline, persistence, and a willingness to work hard and learn to code.
Our students don't need access to the internet every day. Our bootcamp delivery is designed so that you can download the material and work on your tasks offline. Once you are connected to the Internet, all the work in your folder automatically gets synchronised with your mentor, who will be notified immediately and will provide feedback right away.
Yes, you will be issued a certificate of completion from HyperionDev in partnership with Imperial College London once you complete your bootcamp. The certificate also lists all our content partners and supporting organisations, including Google and Facebook.
We recommend devoting an average of 8 hours per week to complete a bootcamp within 3 to 6 months. However, our bootcamps are designed to be flexible to your learning needs and goals. If you find yourself running out of time, you can extend your bootcamp time by purchasing additional months of mentor support and access to the training material. This means you can take as long as you need to complete the bootcamp and gain the certificate, as well as the confidence to become a developer.
FAQ'S
Dr Mark Thomas Kennedy
Director of Imperial Business Analytics and
Co-director of the DSI
Dr. Kennedy studies how innovations become real. He's Co-Director of Data Science Institute at Imperial and holds degrees from Northwestern and Stanford. His work has been published in top journals including American Sociological Review and Academy of Management Journal.
Dr. Arcucci is a lecturer in Data Science and Machine Learning at Imperial College London. She is an elected member of the WMO and speaker of the AI Network of Excellence at Imperial. Her work involves developing AI models for climate and environmental impact and she also collaborates with the Leonardo Centre at Imperial.
Dr Rossella Arcucci
Lecturer in Data Science and Machine Learning at Imperial College London
Dr. Șerban is a Research Fellow at Imperial's Data Science Institute. He specializes in Large Scale Data Visualisation, Natural Language Processing, Machine Learning, Affective Computing, and Interactive System Design. Dr. Șerban holds a joint PhD from INSA de Rouen Normandy (France) and "Babeș-Bolyai" University (Romania).
Dr Ovidiu Șerban
Research Fellow at the DSI, Imperial College London
