DATA SCIENCE BOOTCAMP
(Full-time)

The old way was to teach computers how to do. The new way is to teach computers how to learn.

Student attending online lecture
NEXT COURSE STARTS

June 28, 2021

AVAILABLE

HYBRID or 100% ONLINE

DURATION

15 weeks | 600 hours

HYBRID: 12 online + 3 on Campus
ONLINE: 15 online
LANGUAGE

English

WHY TAKE THIS COURSE

The Data Science course is designed as your entryway into one of the most cutting-edge and progressive industries of the moment, as you will learn how to read and manipulate data, and how to get computers to ‘think’ by themselves.

The emergence of the digital economy has flooded companies with raw data which traditional tools are not equipped to process. This has led to Data Analysts becoming among the most sought-after and flexible professionals, able to find employment as Business Analysts, Financial Analysts, Marketing Analysts, Operations Analysts, Web Analysts, Product Analysts, and many more. More positions, from consultancy to machine-learning engineering, also become accessible with a solid qualification in Data Science. 

This course will equip you with both the concepts and the practical skills to land your first job in the most dynamic branch of tech.

0 +
Data Science job vacancies in Germany
0
Average starting salary in Germany

Source: Glassdoor.de

 

Data scientists are kind of like the new Renaissance folks, because data science is inherently multidisciplinary.

John Foreman • Vice President of Product Management at MailChimp

Requirements

What you will need

Many of the concepts you will learn will be new and unfamiliar to you. The material we’ll present you with will push you outside of your comfort zone. This is natural. Embrace it.

Before you can interpret data, you must gather it, process it, compare it. This is called quantitative work, and while it does not demand any special aptitude or preparation, it does require the willingness and the patience to work with numbers.

Our bootcamp is open to international students, and it is in English. You don’t have to be a native speaker, but you should know the language well enough to be able to follow a class, and communicate with your fellow students, without slowing everyone else down.

Our virtual platform, where you will meet your instructors and study alongside your peers, is online. To join us, you will need a computer or a laptop connected to the Internet, along with speakers/headphones and a microphone.

What you will not need

Data Science requires patience and hard work, yes. But it’s not something only the most brilliant minds of this world can do, and it’s fine if you haven’t done any mathematics since school.

You don’t need any qualifications related to computer science or programming. Our bootcamp assumes no prior knowledge and covers the basics of the field in the first few weeks.

You are here to learn together with others, not to outdo them. A collaborative, friendly attitude is essential, and your only benchmark for progress should be yourself.

What does the course teach?

You will learn how to read, organise and leverage the enormous amount of data generated by business interactions online. From the mathematical theory and the concepts underlying data science, to practical implementations allowing you and your company to predict a system’s behavior, this course covers a comprehensive and constantly updated range of technologies.

Expect to graduate with employable skills not just in interpreting and visualizing data, but in teaching computers to do that for you: the course includes a thorough induction in machine learning, an area of artificial intelligence which is one of the most rapidly-evolving fields of programming.

two CODING students during their time on Campus

Teaching methods

A bootcamp is more than just an online course: it’s a full-immersion in an interactive learning environment in which you and other students will be as closely supported as you will be actively challenged.

 
Learn by doing

Work on concrete projects based on real-life problems. Expand your skills with each new project.

Interactive online seminars

Analyze and interpret data in live, instructor-led seminars alongside your fellow students.

Part of our world

Gain access to our virtual platform, and network with both pros and fellow students at any time of the day.

The Primer

Primer screen Quiz

Prior to the beginning of the bootcamp, we will give you access to our Primer. This is an introduction to the basic concepts you will be dealing with in your classes, and it is designed to be interactive and inclusive of exercises. The purpose of the Primer is to make sure that every student can begin the bootcamp with some core notions already in place, so that everyone can hit the ground running.

Concepts & Tools

In this bootcamp you will learn how to employ tools for visualizing and interpreting data scientifically. You will become handy with databases, cloud computing, SQL, and Python for Data Science. Later in the course you will be taught about machine learning, a data-based field of artificial intelligence.

Business Analytics

Learn how to read, clean, explore and visualise data from real businesses to deliver actionable recommendations and craft business proposals.

python seeklogo
pandas logo
Numpy logo
Tableau logo
Seaborn
Matplotlib logo

WHAT YOU WILL LEARN

Query Relational Databases with SQL and build interactive visualisations with Tableau to support data-driven decision-making.

Real-world data never comes clean and ready to summarize. Learn Regular Expressions and Pandas and dive into the mess!

Turn the (finally clean!) data into a story to craft a compelling business proposal and drive actions with your analysis.

Data Engineering

Learn how to collect unique data from the internet using APIs and Web Scraping, and use the power of cloud computing to build data pipelines from scratch.

PostgreSQL logo
aws-logo
mySQL logo

WHAT YOU WILL LEARN

The internet is full of APIs with real-time data, and websites with valuable content. Use requests and beautifulsoup to collect the data.

You learned to query the databases in Module 1, now it’s time to create one. Build a pipeline to bring data from the internet directly to your database.

MACHINE LEARNING

Master Machine Learning from the ground up: starting with statistics and the real use-cases of traditional hypotesis testing (A/B testing to optimise web UI/US). Train and tune ML models to make predictions on loan default and cluster customers for marketing campaings.

Scipy logo
scikit-learn-seeklogo

WHAT YOU WILL LEARN

Generalizing from data and testing hypothesis are two pillars of Statistics. Learn how these old-school techniques are applied in modern Data Science with case studies.

Apply Machine Learning to bring value to the world of finance by training, tuning and interpreting algorithms like K Nearnest Neighbors, Random Forest and Support Vectorn Machine.

Use Machine Learning to discover the hidden, underlying structure of the data and redefine traditional customer segmentation with modern clustering techniques.

Data SCIENCE

Automate KPI generation with advanced SQL routines and get introduced into the world of cutting edge Data Science applications: recommender systems and deep learning.

PostgreSQL logo

WHAT YOU WILL LEARN

Window functions, stored functions and procedures are some of the most advanced SQL questions that you might find in a technical interview. We will teach you how to nail it.

Emulate Netflix’s recommender system and learn how to create a hybrid algorithm that can deliver customized content to each user.

Introduce yourself to the cutting edge world of neural networks with Keras, and teach a robot vacum to avoid certain objects.

FINAL PROJECT

Choose a topic that suits your career objectives to master and broaden the skills that you will need in your job applications. Create a top-notch unique data portfolio with the guidance of our instructors.

Business Analytics

Learn how to read, clean, explore and visualise data from real businesses to deliver actionable recommendations and craft business proposals.

python seeklogo
Matplotlib logo
Numpy logo
Tableau logo
pandas logo
Seaborn

WHAT YOU WILL LEARN

SQL & Tableau
 

Query Relational Databases with SQL and build interactive visualisations with Tableau to support data-driven decision-making.

Python – Pandas: data cleaning & transformation

Real-world data never comes clean and ready to summarize. Learn Regular Expressions and Pandas and dive into the mess!

Python – Matplotlib & Seaborn: data viz

Turn the (finally clean!) data into a story to craft a compelling business proposal and drive actions with your analysis.

Data Engineering

Learn how to collect unique data from the internet using APIs and Web Scraping, and use the power of cloud computing to build data pipelines from scratch.

 
PostgreSQL logo
aws-logo
mySQL logo

WHAT YOU WILL LEARN

Data collection: APIs & Web scraping
 

The internet is full of APIs with real-time data, and websites with valuable content. Use requests and beautifulsoup to collect the data.

Cloud & SQL

You learned to query the databases in Module 1, now it’s time to create one. Build a pipeline to bring data from the internet directly to your database.

Machine Learning

Master Machine Learning from the ground up: starting with statistics and the real use-cases of traditional hypotesis testing (A/B testing to optimise web UI/US). Train and tune ML models to make predictions on loan default and cluster customers for marketing campaings.

Scipy logo
scikit-learn-seeklogo

WHAT YOU WILL LEARN

Inferential Statistics

Generalizing from data and testing hypothesis are two pillars of Statistics. Learn how these old-school techniques are applied in modern Data Science with case studies.

Supervised Machine Learning

Apply Machine Learning to bring value to the world of finance by training, tuning and interpreting algorithms like K Nearnest Neighbors, Random Forest and Support Vectorn Machine.

Unsupervised Machine Learning
 

Use Machine Learning to discover the hidden, underlying structure of the data and redefine traditional customer segmentation with modern clustering techniques.

Data Science

Automate KPI generation with advanced SQL routines and get introduced into the world of cutting edge Data Science applications: recommender systems and deep learning.

PostgreSQL logo
Keras

WHAT YOU WILL LEARN

Advanced SQL

Window functions, stored functions and procedures are some of the most advanced SQL questions that you might find in a technical interview. We will teach you how to nail it.

Recommender Systems

Emulate Netflix’s recommender system and learn how to create a hybrid algorithm that can deliver customized content to each user.

 
Deep Learning
 

Introduce yourself to the cutting edge world of neural networks with Keras, and teach a robot vacum to avoid certain objects.

 

Final Project

Choose a topic that suits your career objectives to master and broaden the skills that you will need in your job applications. Create a top-notch unique data portfolio with the guidance of our instructors.

Weekly schedule

Daily schedule

During the course, the structure of the weeks will vary to adapt to the learning content of the moment, but in general this is how a typical week will look like:

During the course, the structure of the weeks will vary to adapt to the learning content of the moment, but in general this is how a typical week will look like:

Daily stand-up meeting

Rise and shine! An all-hands meeting to discuss the schedule of the day.

9:00 am - 9:15 am

Review of yesterday's work

Do not let yesterday's learnings fly away: here's a quick recap with the instructor to make sure we move on to the next topic without carrying any misconceptions with us.

9:15 am - 10:00 am

Lecture

Learn about Data Science topics, from Relational Databases to Recommender Systems, in a live session with our experienced instructors.
10:00 am - 12:00 pm

Lunch break

12:00 pm - 13:00 pm

Coding exercises

Practice the concepts covered in the Lecture. Gain coding syntax fluency by solving as many challenges as you can.

13:30 am - 16:00 pm

Project work

Work as a Data Scientist in one of our guided projects with real-world datasets and scenarios. Build a top-notch portfolio and prepare an awesome presentation for next Friday.

16:00 am - 18:00 pm

9:00 _

09:15 _

12:00 _

13:00 _

16:00 _

18:00 _

Monday
Tuesday
Wednesday
Thursday
Friday

Stand up

Intro to the weekly project

Review of yesterday's work

Data Science lecture

Project work with instructor support

Review of yesterday's work

Data Science lecture

Project work with instructor support

Lunch break

Coding exercises

Project work with instructor support

Coding exercises

Project work with instructor support

Project presentation

Project work with instructor support

1:1 Project checkpoints

Data Visualization Workshop

1:1 Project checkpoints / Presentation Rehersal

Week Recap / Retrospective

Here, you are not just quickly introduced to something once and then move on to a new area a couple of hours later, you will have multiple exercises that slowly build up on each other and let you constantly revisit and practise previously learned material.

 

Laura • Full-Stack Web & App Development Graduate

Instructors

Our instructors are hands-on professionals from the world of Data Science, with a proven track record in the industry and a passion for helping others learn. Each bootcamp has its own designated instructor, who will act as your personal tutor and check on your progress from the first to the last of your 15 weeks with us. Our bootcamp is a challenge – but it’s a challenge you won’t have to face alone.

GUILLEM PERDIGÓ

DATA SCIENCE PROGRAM owner

Among those teaching in this course is the man who crafted it first-hand: our Product Lead Guillem Perdigó has a background in Advanced Analytics at the Department of Applied Intelligence for tech giants Accenture, and has already taught Data Science at two different academies. He holds a Postgraduate degree in Data Science & Big Data from the University of Barcelona, in Spain.

Career services

Our bootcamp is more than just an online course – it is the first concrete step in your career in tech. As such, it includes a comprehensive preparation on how to present yourself to the industry and quickly land your first job.

Perfecting your CV

Submit your CV and Linkedin profile to our experts, and get detailed feedback on how to perfect them for the application to your dream job.

Preparing for interviews

 

After a thorough conceptual preparation, we will provide you with the opportunity to practice mock interviews – both professional and technical – personally with our specialists.

Learn from the best

Throughout the bootcamp, we will invite guest speakers from the international tech scene, inclusive of company CEOs and CTOs, and professional recruiters. Get an inside look at what your future employers really want.

A big plus is the community behind it, more and more students and alumni share their knowledge and experiences.

Tino Brose • Full-Stack Web & App Development Graduate (Full-time)

GRADUATION CERTIFICATE

graduates certificate example

Students who complete our course will be awarded a WBS CODING SCHOOL Graduation Certificate. The document testifies to future or potential employers the acquisition of precise tech skills in accordance with the selected course. Expect this to become a staple of your tech-related CV or professional profile.

 
graduates certificate example

HYBRID and 100% ONLINE

FINAL 3 WEEKS
on CAMPUS or ONLINE

 

Our pioneering hybrid concept offers a unique learning experience which lets you enjoy the comforts of remote study and reap the benefits of learning on campus, all in a single course. For those who do not wish to travel to Berlin, we also offer a more familiar learning protocol in the form of an online-only course, designed to set new industry standards and optimised to the needs of those studying from home.

For the first 12 weeks you will study remotely on our virtual learning platform together with your classmates. Live and interactive coding classes led by professional instructors, lectures, workshops, team coding challenges and much more – and you decide whether to join from home, from your family retreat, or from your favorite neighbourhood Cafe.

And for the final 3 weeks you can choose between coming to our Berlin Campus or continuing remotely.

HYBRID

100% ONLINE

Live, instructor-led training​
Dedicated lead instructor
Access to our learning-platform & 6 month Codecademy Pro licence
Build your portfolio with individual and group projects
Lifelong membership in our coding community​
Attend from anywhere with internet access​
First 12 weeks
Meet your classmates on campus
Accommodation during campus phase
3 daily meals during campus phase

Tuition and Funding Options

Our prices are inclusive of all services in the course description. If self-financing is not a possibility, please do look into our sponsored funding options – your future is worth more than a course fee.

HYBRID FULL-TIME COURSE

Includes:
  • 15 weeks (600 hours) of live, instructor-led training
  • Dedicated lead instructor per batch
  • Access to our own learning platform
  • 6 months Codecademy Pro licence
  • Personalized career services & job support
  • Lifelong membership in our vibrant community
On Campus for final 3 weeks:
  • Single room with private bathroom
  • 3 vegetarian meals per day
  • 24/7 access to our campus classrooms
  • Access to all campus leisure facilities
8.800 €
Funding available

100% ONLINE FULL-TIME COURSE

Includes:
  • 15 weeks (600 hours) of live, instructor-led training
  • Dedicated lead instructor per batch
  • Access to our own learning platform
  • 6 months Codecademy Pro licence
  • Personalized career services & job support
  • Lifelong membership in our vibrant community
8.000 €
Funding available
8.800 €

Funding available.

8.000 €

Funding available.

If you are unable to settle the tuition, no worries – there are various third-party or governmental funding options which can cover the cost of the course. 


CHANCEN eG

  • Income-share agreement covering full tuition, available for EU citizens and/or legal partners of German citizens.

EDUCATIONAL
VOUCHER

  • Covers full cost of tuition for residents in Germany who are registered as unemployed.
FREE


QUOTANDA

  • Student loan granted on a per case basis. Everyone is eligible but yearly available places are limited.

Upcoming BOOTCAMPS

Our bootcamps in Data Science last 15 weeks, the last 3 of which can be on campus or online, depending on your preference. Please find the starting dates for the next bootcamps below.

Course Dates
Last 3 weeks
Final day to apply
Jun 28 – Oct 8, 2021
Sep 20 – Oct 8, 2021
Jun 11, 2021
Fully booked
Aug 30 – Dec 10, 2021
Nov 22 – Dec 10, 2021
Aug 13, 2021
Oct 18, 2021 – Feb 11, 2022
Jan 24 – Feb 11, 2022
Oct 1, 2021

How Our Application Process Works

Our application process is designed to guide you, gently but clearly, into the course you want to take. Just follow these three steps:

APPLICATION FORM

(2 min)

Fill in our Application Form with your personal details and get immediate access to the data challenge.

Data challenge intro screen

DATA CHALLENGE

(20 min ~ 60 min)

Solve our data challenge. The purpose of this step is to allow us to evaluate your level of experience, and of course to ensure we are enrolling motivated students. If you find yourself struggling, just send us a line. We’re here to help, particularly if you’re inexperienced!

INTERVIEW

(30 min)

Time to get to know each other! Schedule a 30 minute interview with one of our Admission Managers and introduce yourself. We’ll want to know a little bit more about you, particularly what makes you get up in the morning and why you want to learn Data Science. You can also ask any questions of your own, or clarify anything you’re still uncertain about.

Sign up for more information

Our bootcamp in Data Science is a life-changing experience, and we understand if you need time to think it over. Leave us an email address and we’ll keep you posted in the meantime. No spamming – promised! – just the occasional update on the course.