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FAQs.html
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<h1>FAQs</h1>
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<h4>Looks like I need to know at least R and python? Isn't that a lot to ask?</h4>
<p>No. At the end of the day, most machine learning algorithms do vector and matrix multiplications. If you don't know any R nor python, but know say matlab or similar, you'll be ok. If you know python, but not R, you should be ok; If you only know R... You will only need to be able to read python. If you want to count, you need about 1.5 languages to read the exercises on Data Science Retreat. R is the primary language; If your R is not great, we'll get you to 'kinda good' level pretty soon as you arrive. The first few weeks will hit R hard.</p>
<div><br></div><div><h4>What can I expect from the 'hiring day'? </h4>
<p>Your success is your brand, so the more people who get a job, the better for Data Science Retreat.</p>
<p>However, we do not warrant that you will get a job. You will be in front of companies that are willing to hire a data scientist, though. The curriculum has been put toghether after carefully listening to several companies. All the issues they seem to find while trying to hire, we have trained you for. </p>
<h4>How can you have prices that are so low?</h4>
<p>Living costs in Berlin are lower than in most EU capitals.</p>
<h4>How much pair programming will I do?</h4>
<p>As much as you can take :). No, seriously, pairing with any of our experts is the most secure way we can think of to drive you through mastery. This is what makes us different from simply taking as many MOOC as you can; or reading books. There are practical details that are hard to communicate in sittuations other than face-to-face interaction. The relationship mentor-pupil is very special. Apprenticeships work where other forms of instruction fail, more so when what you learn is a craft (Data science is!).</p>
<h4>The portfolio project: how much time will I need to put into it?</h4>
<p>At least half of your time you should be thinking about/ working on your portfolio project.</p>
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<p>Jose helps others to decide better, do better, or be better through data. Like everyone else, he doesn’t know what data science really is, but suspects it has to do with predicting the future before it catches you empty-handed. He has an incredibly supportive girlfriend, dog, and son who let him spend so much time preparing Data Science Retreat. He has a PhD in Machine learning and worked at top labs (U. of Colorado, Boulder Carnegie Mellon)</p>
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<p><img alt="Kai Wu" class="img alignleft size-full wp-image-22" height="147" src="./resources/images/KW-bw-head-225x300.jpg" width="110"> Kai is a twice born-again coder (Python, then Lisp/Clojure), known to sing praises to Emacs, Org mode, and SICP. When not working on a clean energy startup, he’s reading philosophy, history, or hunting anomalies, looking for hints of the future – though heeding the caveat of a certain baseball player: “Predictions are hard; especially about the future.” He’s Eastern by birth, Western by schooling, global by outlook, and European by choice, calling the urban utopia of Berlin home.</p>
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