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Data Science Bootcamp in Berlin

Become a Data Scientist in 12 weeks with our full-time, intensive course.
NEXT COHORT STARTS ON AUGUST 26TH, 2019

Highlights

Learn Data Science in a fast-paced,
supportive environment

Up-To-Date Skills

We offer a razor sharp focus on the skills employers are looking for

Build Your Portfolio

Our project-based curriculum gets you ready and prepared to impress

Get Hired

With full career support you’ll be ready for the job market in Berlin and beyond

Join The Community

SPICED is more than just a data science bootcamp, it’s a family

Where Our Graduates Work

Technologies

What You'll Learn

python

Data Analysis in Python

You’ll use Python to collect, wrangle, and clean data. You will become fluent in using powerful Python libraries like Pandas and NumPy to explore your data and conduct statistical analyses.

tensorflow

Machine Learning

You’ll delve into the world of machine learning with the two frameworks scikit-learn and TensorFlow. You will build machine learning systems ranging from simple linear regression to state-of-the-art deep learning systems.

matplotlib

Data Visualization & Reporting

You’ll learn to present your data beautifully using Matplotlib and Seaborn as well as learning how to create interactive data visualizations with D3.js.

sql

SQL & NoSQL

You’ll organize your data in SQL databases like PostGreS and in NoSQL databases like MongoDB. You will learn to convert data between widespread formats like JSON and CSV and run efficient queries on your databases.

docker

Data Infrastructure

You’ll deploy your machine learning systems on modern architectural components including Docker containers and AWS to distributed computing with Spark. You will apply techniques to test and monitor your services.

github

Git & Github

You'll use Git and Github throughout for the course to utilize collaboration & version control of your code.

Course Structure

How You'll Learn

Phase I

In the first weeks of our Data Science Bootcamp you'll focus on learning to use Python for common data handling and visualization tasks, as well as building machine learning systems with scikit-learn.

Phase II

In the next few weeks you’ll delve into the world of Deep Learning. You’ll learn how to build image processing systems and language processing systems with TensorFlow. As your programs grow, you will learn techniques to write bigger Python applications.

Phase III

In the final part of the program you'll learn to deploy state-of-the-art machine learning systems in a distributed computation environment. You’ll apply reinforcement learning and explore the latest deep learning techniques. In the final two weeks of the course you’ll combine everything you’ve learnt in your self-defined final project.

SPICED Labs (Optional)

For 6 weeks after the course you’re free to come to SPICED to continue to work, receive guidance during your job search and put any final touches needed on your portfolio.

Download Curriculum

What our students say

Lillian_Coding_Testimonial
Lillian
Data Science Consultant at Pivigo

You can learn an amazing amount in just three months, if you are willing to!
Marcus_Coding_Testimonial
Marcus
PhD at Julius Maximillians Uni

The course I was looking for. I got everything I needed to know to dive deeper into any Data Science related topic, and I felt well-prepared for future work.
Helena_Coding_Testimonial
Helena
Data Manager at Hummingbird Diagnostics

Class is intense, but in a good way. Looking back at the 12 weeks I spent at SPICED with such an amazing group of people, I wouldn’t want to miss any of it.
Konstanin_Coding_Testimonial
Konstanin
Data Scientist at Football Radar

Kristian, the head teacher, is just amazing. He knows everything about Data Science and - maybe even more importantly - you can see that he really enjoys teaching.

Get Hired

Career Support

Self Awareness

Discover your career values, interests and ideal workplace, through a series of introspective questions and activities.

Portfolio & CV

Learn to write the ideal CV, cover letter and LinkedIn profile for the role of a Data Scientist. Create and sharpen your Github portfolio of projects.

The Job Search

Learn how to structure your job search, different types of tech roles, average Data Scientist salaries and how negotiate for a job offer.

Interviewing Practice

Practice one-on-one for a Data Scientist interview through a series of behavioral and technical questions and get feedback in real time.

Course Details

Dates & Prices

August 26th - November 15th, 2019 Mon - Fri 9:30am - 6:00pm 9.800€
September 30th - December 20th, 2019 Mon - Fri 9:30am - 6:00pm 9.800€
November 18th - February 14th, 2020 Mon - Fri 9:30am - 6:00pm 9.800€

Financing options available on request.

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Ready to Become a Data Scientist?

SPICED community
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Want to speak to us?

+49 30 9856 2427

info@spiced-academy.com