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Science to Data Science

Average Rating4.93
51 Reviews
1 Course

Science to Data Science is a 5-week, online data science course for PhDs and MScs. S2DS teaches the skills needed to transition from a scientific background to become a successful data scientist, such as Python, R, Hadoop, SQL, and machine learning. Fellows accepted into the program will learn via hands-on projects, and work in groups to complete real-life big data problems. 

All applicants should have intermediate programming skills in a mainstream program...

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51 Science to Data Science Reviews

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  • Emanuel Blei
    Mr • Graduate • Science to Data Science • Online
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    Nov 23, 2020
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    Mr

    The S2DS boot camp is probably quite different from other offerings. First of all, it is £800 for the virtual version compared to many thousands of dollars for their competitors. Secondly, you have to have at least a master's degree or better still a PhD. That makes sense since the course is aimed at staff working in academia or recent graduate/PhD-students that want to make the switch to data science in industry. The boot camp might also not be your thing if you need your 12 hours of be...
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  • Arnaud
    Graduate • Science to Data Science • Online
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    Sep 14, 2020
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    S2DS

    S2DS is a program that will provide you with your first hands on experience in data science. It consists of a 5 weeks project oriented bootcamp where analytical PhDs are brought together to work on data science and machine learning challenges for a real company. Teams of 4 or 5 members are followed by a technical mentor as well as a business mentor from the company they are working for. The program includes lectures and social events as well as networking events. This program was for me ...
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  • Miaomiao Yu
    PhD student • Graduate • Science to Data Science • Online
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    Dec 09, 2019
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    Exactly what I was looking for!

    Science to Data Science is a great head start for anyone who has the technical and analytical skills to be a good data scientist, but lack the commercial and industrial work experience that companies look for in a candidate. The programme lasts for five weeks and involves working in a small team of three to four people on a project. The limited time meant that it was important to (1) have a good foundation in data science skills (coding language, grasp of statistics, familiarity with...

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  • Mark
    Graduate • Science to Data Science • Online
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    Dec 08, 2019
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    An intense but fulfilling experience

    This was a 5 week intensive data science course for  people coming from academia ( MSc/PhDs). The course makes the student familiar with the way of working in on data science problems in non-academic sectors (e.g. commercial, government or charity) where the deliverables are very different to ones one might be used to in academia. Typically working in groups of 3-4 on a project assigned by a company, the course forces you to learn things quickly, whether it be new coding languages or new...
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  • Debashis Sanyal
    Graduate • Science to Data Science • Online
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    Dec 05, 2019
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    Intense 5 weeks to get a headstart in your data science career

    I took part in S2DS Virtual 2019 that concluded in November. Although I was a bit apprehensive about the virtual format before the start of the programme, I must say that I was rather pleased with my experience at the end of S2DS. The entire cohort is divided in to teams of 4 (or 3) at the beginning and given a real problem from one of their partner companies (depending on your preference) to solve. Each team is assigned a company mentor and a technical mentor from Pivigo.

    ...

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  • Alex
    Applicant • Science to Data Science • Online
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    Dec 02, 2019
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    Remote program review

    I participated in the Oct 2019 Virtual Programme, which invovled a 5-week project in a team of 4.

    This was good experience to work on a client problem as a team and to provide business value by utilising data science and machine learning methods. 

    Note that this programme is for those who already have a good grasp on the fundamental data science and machine learning methods. You will be expected to apply these skills to your client's problem in a team environment.

    ...
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  • Roberta
    Graduate • Science to Data Science London • London
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    Nov 14, 2019
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    Great experience, makes the transition to industry much easier!

    I attended S2DS London 2019 and I absolutely loved it! Before starting, I was already sure I wanted to switch from academia to data science, and I was mostly looking for an opportunity to gain business experience before starting looking for an industry job, and to get to know other PhD students who were ready to do the same. In my opinion, there are three things that make s2ds a really great experience:

    - The people. The cohort was full of international, like-minded, and very sma...

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  • Emanuele
    Data Scientist • Graduate • Science to Data Science London • London
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    Nov 27, 2018
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    An unforgettable experience

    I was already employed as a software developer when I enrolled in S2DS, I had a PhD in astrophysics and I really wanted to exploit my skills into a data science job but at that time I had no idea about what was a data science job, how to move properly into this field, how to present yourself to the market such that your experience could be considered valuable by recruiters.

    S2DS helped me in all of this things. Moreover I found a lot of cool and talented people, friends who inspi...

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  • Jonathan Gantner
    Graduate • Science to Data Science London • London
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    Nov 21, 2017
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    Perfect Data Science Tryout

    Close to finishing my PhD in Mathematics, I was undecided whether I should pursue an academic career or not. Getting a job in data science seemed a reasonable alternative, but I had no experience in the field. After some research online, I found the 2017 S2DS Training in London, which seemed the perfect occasion for trying data science in a business environment before actually taking such a job.
    The application procedure was pretty straight forward - we had to send a CV and a motivati...

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  • Orfeas Kypris
    Research Scientist • Applicant • Science to Data Science • Online
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    Nov 14, 2017
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    A great way of getting hands on experience working on real world data science projects

    I decided to enroll into the March 2017 Virtual S2DS programme, and I did not regret it! At that time I was finishing up my postdoc, and was ready to get some experience of what an industrial data science project feels like.

    Pivigo split us into teams, and each team was assigned a client company, to whom we were essentially delivering a data science project, with specific deliverables. We followed the agile methodology, with frequent commits to our codebase, and regular updates a...

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  • Stew Buchan
    Graduate • Science to Data Science London • London
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    Nov 11, 2017
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    A great way to boost confidence in making the jump to data science

    When I started to plan what to do after my PhD in astrophysics, I got recommended the program by S2DS alumni. I attended the 2016 course in London and found it was a great help in boosting my confidence in my own data science abilities and working in a team. It also removed all of reservations I had about leaving academia and moving into the unknown.

    I found the mentors and pivigo staff to be very valuable and supportive during the program. They were on hand all the time to help ...

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  • Rob Spence
    Astrophysics PhD Researcher • Student • Science to Data Science London • London
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    Nov 09, 2017
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    Highly recommended for any aspiring data scientist!

    I decided to apply for the S2DS London programme as I was heading into the final year of my Astrophysics PhD. I was starting to think about leaving academia but found myself in the position of having no commercial experience to call upon for any job applications/interviews I may have in the future. I also had no way of really knowing what it was like to work outside of academia. This worried me, and when I heard about S2DS it immediately caught my attention as a potential solution to this ...

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Science to Data Science Alumni Outcomes

Recent Science to Data Science News

Harry Hantel
Published March 31, 2015
You don’t have to be a data scientist to read into these statistics: A McKinsey Global Institute report estimates that by 2018 the US could be facing a shortage of more than 140,000 data scientists. The field of data science is growing, and with it so does the demand for qualified data scientists. Sounds like a good time to pursue data science, right? No kidding! Data scientists make an avera...
Liz Eggleston
Published November 17, 2014
  If you have a quantitative PhD and want to transition from academia to Data Science, you have a surprising number of options. One such option is Science to Data Science (S2DS), a 6-week fellowship in London to train students in the commercial tools and techniques needed to be hired into data science roles. Adam Hill participated in the first S2DS cohort and talks to us about his experien...

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Science to Data Science costs around £800.

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Science to Data Science offers courses like Science to Data Science.

Where does Science to Data Science have campuses?

Science to Data Science teaches students Online in a remote classroom.

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