Curriculum at a glance
The most up-to-date, effective tech stack on the market:
Next course: November 10, 2025
Online Data Science Bootcamp
Aspiring Data Scientist? Level up your career with the most comprehensive curriculum on the market, all taught live and online.
Full-time | 16 Weeks | Online
No money? No problem. Get 100% financing with the Agentur für Arbeit
Learn Data Science. Wherever you are.
From getting to grips with Python to getting deep with Deep Learning, our online Data Science course will get you thinking and building beyond your comfort zone. Learn remotely with live, expert guidance from Spiced's dedicated team.
Course Overview
What's in store at our Online Data Science & AI bootcamp
Prep Phase: Get started with the core skills that you need
You will get to know the Python programming language, including data types, loops and conditionals, and familiarize yourself with linear algebra and calculus.
Your learning journey starts with more than just tech skills – it begins by building a strong foundation for success. In the first week, you’ll connect with your peers, learn how to work effectively in the course, explore the IT industry and career opportunities, and discover how to use (and not misuse) AI as a tool to support your growth.
When starting the course you will be able to write small programs using basic Python commands. You’re required to complete an assessment to make sure you’re ready for the on-site portion of our Data Science bootcamp.
Phase I: Let's get started
In your first weeks you'll focus on the data science basics — learning to use Python libraries for common data handling and visualization tasks, use relational databases, as well as building machine learning systems with scikit-learn. Your first project will be about the data exploration phase, done before applying machine learning - this is a crucial step of any data science project.
Phase II: Machine Learning and more
In the second part of the bootcamp you'll learn about a range of advanced topics across the modern data science landscape. You’ll learn how to build ensemble and deep learning solutions with TensorFlow, and connect multiple components to a pipeline. Your second project will be a small group project to build your first machine-learning solution from scratch. As your programs grow, you will learn techniques to write bigger Python applications.
Phase III: The final countdown
In the final part of the program, you’ll build your own data science solution in a group project of your choice. You’ll combine everything you’ve learnt, as well as practice team-work and agile workflows on your final project.
Phase IV: Stay connected to the Spiced Community.
You’ll also have lifetime access to our Slack channel, which keeps you connected to thousands of Spicedlings throughout your career. Plus, you’re always invited to join graduations and events to reconnect with the community!
Spiced info events
If you're interested in our further training and would like to learn more before you begin, please feel free to attend one of our information sessions and see which topic is right for you.
Bildungsgutschein: Come Join Our Free Info Webinar!
Get event detilsData Analysis in Python
Become fluent in using Python to collect, analyze, and visualize data, focusing on the powerful libraries Pandas & NumPy.
Machine Learning
Delve into the world of supervised and unsupervised learning with the scikit-learn and statsmodels frameworks.
PostgreSQL
Organize data in SQL databases like PostgreSQL, fill it with data and run queries.
Agile Project Management
Learn how to effectively work in Germany's msot modern companies.
Software Engineering
Acquire state-of-the-art engineering tools to write and test Python applications.
Git & Bash
Use Git and GitHub throughout the course to collaborate & version control your code.
Career Services
Ready for the real world.
What good are skills without getting a foot in the door? We focus extensively on helping you ace real world technical interviews.
Coaching built for you.
We believe that development is continuous, so we offer up-to-date career coaching sessions to help you progress professionally.
Beyond the technical.
Changing careers is more than learning new tech skills. We additionally provide you with spot on soft skills to ace your application process.
Your next step.
Wondering ‘what’s next’? We're connected with exciting startups and companies in Germany.
“The bonding within the cohort is amazing, all of the teachers are passionate about teaching and offer individual and intense support. I never expected to be able to work in data science at this high level after only 3 months.”
Lisa
Data Science Graduate
What our students have built
7,000 alumni have already completed a final project with us. You too will complete one that you can present to your future employers. Discover which projects already exist.
Your teachers at Spiced
Dr. Carmine Somma
Data Science Coach
Arjun Haridas Pallath
Data Science & AI + Data Engineering Coach
Dr. Rakib Rahmen
Data Science Coach
Dr. Thomas Zander
Data Science Coach
Nouri Shehab
Data Science Coach
Omar Hammad
Data Science & AI Coach
Dr. Carmine Somma
Data Science Coach
Where Spicedlings work
Spicedlings are getting hired by your favourite companies:
Financing Options
Invest in your future
Bildungsgutschein
If you’re registered as unemployed (or soon to be) in Germany, you could be eligible to have all your costs covered with a Bildungsgutschein (training voucher).
For more information on this option, check our page dedicated to financing your coding bootcamp with a Bildungsgutschein.
Deferred Payment
We want to make our best-in-class tech courses available to everyone with the motivation to complete them.
Our Deferred Payment Option enables those who aren’t in the position to pay upfront nor in instalments to participate, by offering the chance to pay back at a later date.
Full Payment
If you’re ready to cover the cost of our coding bootcamps immediately, this is the option for you. Pay 14 days before the course starts.
Application & Dates
16 Weeks | Full-time
Online
September 22, 2025 - January 26, 2026
Online
October 27, 2025 - February 26, 2026
Berlin
November 10, 2025 - March 12, 2026
FAQ
What kind of support does Spiced Academy provide to students during the Data Science bootcamp?
Great question! At Spiced Academy, our students come first. During our Data Science bootcamp, you'll receive comprehensive support from our instructors and mentors. They'll be there to guide you, answer your questions, and provide valuable feedback throughout the course. We encourage you to think for yourself, pull at threads, and make the journey your own.
What are the requirements for taking the Data Science bootcamp?
Our Data Science bootcamp is designed for those with some prior knowledge of programming or mathematics and statistics. It's not to say you can't join any way, we've had lots of Spicedlings come through our course that simply had a tonne of ambition and motivation. Be sure to speak with our Admissions team to see if our Data Science bootcamp is for you.
How does Spiced differ from other web development bootcamps?
Spiced is different. Our methodology is hands-on and prepares you effectively for the demands of real work. Plus, we have an amazing community that will help you go above and beyond.
Will I land a job?
Absolutely! We can't promise it'll be easy, after all, changing direction in life takes hard work. Nonetheless, our coding bootcamp has an 86% hiring rate. We don't just help you acquire the technical skills; we also provide extensive career support.
I’ve never done programming before—is it realistic to complete a Data Science Bootcamp and become job-ready?
This is a common concern and entirely valid. 🚀
Here’s how bootcamps make it achievable:
Beginner-friendly onboarding: Expect foundational modules covering Python basics, data types, Jupyter notebooks, and basic statistics before the bootcamp officially begins.
Gradual pacing: Week 1–2 will introduce loops, functions, and Pandas while real-world datasets like Titanic or NYC taxi datasets are used.
Mentor support: Weekly one-to-one sessions, Slack help channels, and peer study groups help answer questions fast when you’re stuck.
Typical duration: Most full‑time Data Science Bootcamps in Germany or EU run 12–18 weeks.
Job opportunities after graduation: Roles like Junior Data Analyst, Data Engineer trainee, or Business Intelligence Associate are realistic stepping stones.
💬 Graduate testimonial: “I came from hospitality with zero coding experience. After a 18‑week full-time bootcamp, I landed a Junior Data Analyst role in Berlin—entirely new career path.”
✅ Preparation tip: Spend 2–3 weeks before start practicing Python basics and working on mini-projects in Kaggle or Google Colab to build confidence early.
How much does a Data Science Bootcamp cost in Germany/EU and are educational vouchers like Bildungsgutschein accepted?
Great question—knowing your financial plan helps you choose wisely.
💶 Typical pricing in EU: Full‑time bootcamps generally cost €8,000–€13,000 depending on provider, career services, and cloud lab access.
Financing possibilities in Germany: Bildungsgutschein: If your bootcamp is Kursnet/meinNOW‑registered, Jobcenter/Agentur für Arbeit may fully fund tuition and sometimes living expenses.
Installment plans: Interest‑free monthly payments over 6–24 months are common.
Income Share Agreements (ISA): Some schools offer zero upfront cost and repayable only when employed above a salary threshold.
💡 Pro tip: Always verify what's included: AWS/GCP credits, exam vouchers (e.g., AWS Certified Data Analytics), and career coaching.
💬 Alumni insight:“My bootcamp fee was covered entirely by the Bildungsgutschein, including cloud credits and exam costs—no personal debt afterward.”
✅ Final advice: Check Kursnet/ meinNOW for approval status and clearly ask providers about what’s included so you avoid hidden fees.
Do not miss out.
Subscribe to our newsletter.
Subscribe to our newsletter.
Email address
I would like to receive email updates from SPICED Academy. This decision can be revoked at any time. Information on how we handle your data can be found in our privacy policy.