"I want to be a (better) data scientist, but working alone through online courses doesn't cut it."
Data science retreat brings together top data scientists and mentees seeking to grow an exceptional amount quickly.

Data Science Retreat (DSR) helps coders or people with significant quantitative training (e.g. science, engineering, or math graduates) ramp-up quickly for a career in data science - arguably the fastest-growing, highest-demand profession. DSR is a 3-month, rigorous, and full-time/intensive course in the startup-capital of Europe: Berlin. Learn software engineering, data science, and business communication faster and more deeply with mentors doing code reviews plus pair-programming - all on real-world data and valuable problems. You will develop a portfolio project, demonstrating you can own a business problem, solve it, and communicate why your results are definitive.

Marketplace demands and needs have outpaced any educational programs. we are not seeing too many programs which really round out the entire package of skills needed. We think most of the even new data mining and analytics programs are back around the 2005 time period. Things are shifting so fast that unless you are learning all this stuff on your own, you will not be prepared for the job market in many cases.

You bring your training, tuition, and drive to master our curriculum alongside our world-class mentors and partners; Towards the end we provide a networking event with top-tier technology companies, where you will show off your new skills and portfolio project, likely leaving with a career-changing job.

Why go into a Data science career?

Hal Varian

If you are looking for a career where your services will be in high demand, you should find something where you provide a scarce, complementary service to something that is getting ubiquitous and cheap. So what’s getting ubiquitous and cheap? Data. And what is complementary to data? Analysis.

Prof. Hal Varian UC Berkeley, Chief Economist at Google, interviewed by Freakonomics

Geir

"A position in the industry, where I can use my teaching, data processing and analysis skills to further some business goal, seems like a much more preferable option than sitting around writing research papers and applying for grants all day. Not to mention that academia pays less and has worse overtime conditions than any industry job I could concievably get."

Geir Smestad, CompSci Masters Student

 

Residents

Pere Ferrera

Pere Ferrera

Co-founder & CTO of Datasalt. He’s core committer in two Hadoop-based open-source projects, Splout SQL and Pangool. Splout provides a SQL view over Hadoop's Big Data with sub-second latencies and high throughput. Pangool is an improved low-level Java API for Hadoop based on the Tuple MapReduce paradigm (ICDM 2012). Pere is an early adopter of Hadoop, working in Big Data projects since 2008. He’s also the organizer of Big Data Beers Berlin.

Mikio Braun

Mikio Braun

Mikio is co-founder and Chief Data Scientist at TWIMPACT, a startup working on real-time event analysis for all kinds of applications. He’s also the author of Streamdrill, a library that solves the top 10 problem. The top items for all trends are continuously updated from the data you send in. No need for iterative computation or big heaps of data to start the analysis. Mikio also wrote jblas, and is currently a PostDoc in machine learning at Technische Universität Berlin.

Adam Drake

Adam Drake

Adam is currently the Chief Data Scientist and Director of Engineering for Zanox, Europe’s largest affiliate network. He has been in technology roles for over 15 years in a variety of industries, including online marketing, financial services, healthcare, and oil and gas. His background is in Applied Mathematics, and his interests include online learning systems, high-frequency/low-latency data processing systems, recommender systems, distributed systems, and functional programming (especially in Haskell).

Olivier Grisel

John Purcell

John has over 15 years of industry experience specializing in leading exploratory research and concept creation projects to provide a deeper understanding on mobile products and consumption patterns in various environments. He has been at the CTO/VP-engineering level on large media companies, and is a functional programming aficionado.

Klaas Bollhöfer

Klaas Bollhöfer

Klaas is working as a Chief Data Scientist & Big Data Evangelist with The unbelievable Machine Company GmbH. He is father of the Data Science Day (DSDay), coordinator of the Big Data Week in Berlin, member of the program committee O'Reilly Strata London, member of the program committee "Best in Big Data" by IDG, author & speaker. Before that he worked as Director User Experience @ Pixelpark, as the Head of Online @ Native Instruments (interlude) and as a Senior IT Project Manager @ Pixelpark.

FAQs

Wait... but don't you need advanced math? Isn't 3 months too short to teach that?

Yes, you will need a solid background in linear algebra and probability theory to create new algorithms. But this is very different from what you need to simply apply algorithms known to work for a class of problems. Vision + good judgement + intuition + hacking skills + natural analytic skills + craftsmanship + curiosity + Google skills are, in fact, more useful and less expensive than advanced math knowledge.

I'm good at thinking analytically and using the scientific method. But I know nothing about software engineering/databases. Would this work for me?

Absolutely yes. Being comfortable with at least one programming language is a prerequisite, but if you have never put a system in production, written tests, or used version control, etc. such skills comprise software engineering and craftsmanship, and you will pick those up. You will simply spend more time pairing with advanced software engineers than others as needed.

How would you improve my communication skills? I hear they are key for a data scientist.

You will present your results in front of a non-technical audience four times, getting feedback by a professional trainer, with video review and tight timing. You will train in explaining complex ideas to other students. Because no matter how accurate your algorithm predictions are, if you cannot convince the decision makers in a tight time window, it will not have mattered.

We partner with

Itembase

Contentful

Workhub

Datasalt

Unbelivable machine

mapR


Microsoft Ventures

Pricing

  • Sponsored
  • 999 eur/mo
  • You commit to working for a reduced rate the first three months for the company that hires you. Hiring partners have preference, only if they pass you can interview with other companies
  • Access to real problems and datasets from companies
  • Access to our mentors
  • Code reviews
  • Portfolio project supervision
  • Interviews with our hiring partners on hiring day
  • Career support, and intros to companies hiring for six months after graduation
  • Office with big monitors in the center of Berlin
  • Peers willing to co-learn new tech stacks from Hacker Retreat
  • Apply Now
  • Standard
  • 2333 eur/mo
  • No hiring commitments. You are free to join any company, with no restrictions on initial salary. We will help you with intros and preparing your interview. Ideal if you already have a job or want to do your own business
  • Access to real problems and datasets from companies
  • Access to our mentors
  • Code reviews
  • Portfolio project supervision
  • Interviews with our hiring partners on hiring day
  • Career support for six months after graduation; possible consulting projects, business network events. Hiring intros if needed
  • Office with big monitors in the center of Berlin
  • Peers willing to co-learn new tech stacks from Hacker Retreat
  • Apply Now

Details

Where: Berlin, Germany, one of the world’s great cities, the upcoming “startup capital of Europe” that’s also affordable and brimming with software and startup activities.

When: Batch one, May 1st to July, 31st 2014. Batch two, Aug 1st to Oct 31st. You can join anytime between May and Oct, but consider that you need to do two months minimum to be in the hiring program, and that modules you want to do may be over in the batch you are joining late.

Class size: Ten to fifteen students will be accepted.

Hiring: If you want to be in our hiring program, you'd need to stay at least two months

Money back warranty:If you are not happy with your results, we will give your money back (prorrated to the time you have already spent).

Our office: Microsoft Ventures offices, in Unter der Linden 17 (Mitte). One of the best locations in Berlin.


Recommended background

We expect you to have basic programming experience and familiarity with databases. Exercises will be in R or python. You'd need to have a basic understanding of at least one of these languages. In the application form you can say whether you want to use a different one: Clojure/incanter and Julia could be the next languages we support.