Data Science & AI Bootcamp

Learn the fundamental theory and application of Data Science & AI.

Our instructors will coach you through the essential foundation of knowledge and applied skills to put you well on your way to a fruitful career in Data Science & AI.


Full-Time: 12 weeks

Part-Time: 24 Weeks

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What you’ll Learn

Coaching you through an especially curated curriculum designed to take you from ‘just curious’ to ‘fully certified’ in data science in as few as 12 weeks (full time).


SQL, Python, Jupyter Notebook, Git and GitHub, Linear Algebra, Probabilities and Statistics.

Data Analytics

Data Analysis, Data Preparation, Data Visualization and Data Exploration.

Classic Machine Learning

Machine Learning, Supervised and Unsupervised learning, ML model enhancement, Naive Bayes, SVM, Random Forests, ML Pipelines and Classification.

Deep Learning

Neural Networks (implementation, troubleshooting & optimisation), CNN Architectures, Autoencoder Architecture, Data Augmentation, Tensorflow, Keras and Scikit-Learn.

Natural Language Processing

Text coding for NLP, Recurrent Neural Networks (RNN), LSTM, Attention Mechanisms, Transformer Model and chatbot building.

Need more details?

Download our Syllabus

Data science has been one of the most prestigious careers in recent years. It involves handling data, cleaning it, evaluating it, and developing machine learning models to predict outcomes of events. In this chapter, we will cover the foundations of data science to get you ready to begin your learning journey.

Introduction to Python

  • Python Language And History
  • The Basics Of Python
  • Fundamental Data Structures In Python
  • Classes And Objects
  • Modules And Packages
  • Input/Output
  • Errors And Exceptions


  • Python Environments
  • Anaconda
  • Jupyter Notebooks

SQL and Databases

  • SQL Fundamentals
  • SQL Queries

Linear Algebra

  • Scalars And Vectors
  • Matrices
  • Norms

Git and GitHub

  • Introduction to Version Control
  • Workflow
  • Inspecting Repositories
  • Undoing Changes
  • Fetching And Pulling Changes
  • Pushing Changes

Project: Curve Fitting

  • This project is about solving the 'Curve fitting' problem, which involves finding the best curve equation to fit a given dataset. It will guide you through an example of this problem and is divided into sections, where each section will exercise the use of fundamental concepts such as OOP, SQL, Linear Algebra, and the final Machine learning workflow.

Why Learn With Us?

  • Fast paced.
  • Small class sizes.
  • 1:1 career coaching individually catered to your experience and goals.
  • Remote-first learning, from anywhere in the world.
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Sorry - We don’t currently have any open spaces on any of our sessions.

You can register your interest to be the first to know when spaces open again, or see our Free Events page for any one-off taster sessions.

Tuition and funding

Finance independently, or choose one of our partners which best suits you.

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Frequently Asked Questions

What is the admissions process like?
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What are my options for funding?

Career Services

Dedicated and focussed on you. We help you to understand, leverage and showcase your powerful new skills through resume reviews, interview practice and industry discussions.

How to Apply

We know that choosing an educator can be a daunting task. That’s why we put every one of our potential participants in touch with a human as soon as possible, and you’ll be with them until you start your course.


Submit your application

You will choose your course, campus and timetable of study, stating your motivation to study with us.


Meeting with Learning Specialist

Book your meeting with one of our learning specialists to confirm that we’re the right fit for you and iron out any questions or concerns you might have. Here we can also talk about financing options, special offers and any accommodations you may need.


Onboarding and Pre-work

Once you’ve signed up, we’ll put you in touch with your course instructors and cohort mates. We will also set some pre-course study to make sure you can hit the ground running with us from day 1.

Contact a Learning Specialist

Quick question before you apply? Something about a particular course caught your eye and you want to learn more? Let us know. We’ll be happy to help.

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