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.

Next Kickoff

Location

Online

Schedule

Full-Time: 12 weeks

Part-Time: 24 Weeks

AZAV Certified

What You'll Learn Upcoming Bootcamps Financing Options FAQ Alumni Testimonials

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).

Foundation

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

Chapter 0: Pre-Work

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

Environments

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.

Job Statistics

There are around 1.7 million open tech positions worldwide in 2024

The USA

For the USA, the estimated number of active tech job postings is 438,000 (Source)
The CompTIA State of the Tech Workforce Report 2024 , based on the analysis of data collected by the US Bureau of Labour Statistics, anticipates the tech workforce to grow twice as fast as the overall US workforce from 2022 to 2032. This translates to roughly 350,000 new tech jobs created annually to meet replacement needs and accommodate industry expansion. (Source)

Europe

Tech Jobs in Europe, the figure rounds out at 960,000
The number of people employed as Information and Communication Technology (ICT) professionals in the European has risen by around 75 percent over the past two decades, as digital technologies and services have become a more vital part of the European economy (Source)
As of 2021, almost nine million people work directly as ICT professionals in the union, with Germany providing over two millions of these professionals and France providing 1.25 million. Other prominent countries for the ICT industry include Italy, Spain, the Netherlands, Poland, and Sweden. (Source)
Among all tech job postings, 54% sought candidates with 0 to 2 years of work experience. Job postings were widely dispersed geographically, with the largest numbers in Germany (639,278), Poland (450,391) and France (280,681). (Source)
The CompTIA State of the Tech Workforce Report 2024 , based on the analysis of data collected by the US Bureau of Labour Statistics, anticipates the tech workforce to grow twice as fast as the overall US workforce from 2022 to 2032. This translates to roughly 350,000 new tech jobs created annually to meet replacement needs and accommodate industry expansion. (Source)

European Tech Hiring Trends

This graph indicates a significantly higher demand for software development roles compared to other tech categories, with systems analysis and cybersecurity following as the second most in-demand category.

0-2 years experience: 35% of job openings
3-10 years experience: 10% of job openings
11+ years experience: 13% of job openings
Not specified: 42% of job openings

The largest category is "Not specified" at 42%, suggesting that many job postings don't explicitly state required experience. Among those that do, there's a clear preference for entry-level positions (0-2 years), which make up 35% of the openings.

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.

Learning Community

9.9/10

Net Promoter Score*

5/5

Teacher knowledge*

5/5

Industry Relevance*

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.

Financing Partners

Explore our financing partners and find which one suits you in your journey.

Simple recurring payments in easy instalments up to the duration of the course.

Finance as much or as little as you need in up to 60 instalments.

Monthly repayments to StepEx from a percentage of your income, until the end of your agreed payment schedule.

Funding Options

Financing shouldn’t hinder your aspirations. That's why we offer a plethora of financing solutions to accommodate diverse situations.

Bildungsgutschein

Fund your CLA bootcamp with the German government’s education voucher with a possibility to pay €0.

CLA Discounts

Invest in yourself for less. Explore our discounts.

Qualifizierungschancengesetz

Explore the advantages of the Qualification Opportunities Act in fostering workforce development in Germany.

Frequently Asked Questions

What is the admissions process like?

Does CLA really teach anyone, from anywhere?

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.