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Science to Data Science

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Science to Data Science

Avg Rating:4.93 ( 51 reviews )

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 programming language like Python or R, and a strong desire to change careers into a data science role. Applicants are required to hold an MSc or PhD in an analytical field (though candidates in their final year of PhD studies are also accepted).

All Science to Data Science students work on projects with real companies, and Science to Data Science will help connect students to job opportunities via networking events and membership to the Science to Data Science Alumni group.

Recent Science to Data Science Reviews: Rating 4.93

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Recent Science to Data Science News

  • Science to Data Science

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    Data Science
    OnlineFull Time5 Weeks
    Start Date March 14, 2022
    Cost£800
    Class sizeN/A
    LocationOnline
    The S2DS Bootcamp was designed to help bridge the gap between academia and industry for talented individuals who already possess the foundational skills of a data scientist, as developed through their academic careers. Unlike most data science programmes, where the focus is on theoretical learning, S2DS recognises your prior learning and instead focuses on training you to use and develop your analytical knowledge to tackle a real data science problem. By empowering participants with the commercial experience needed to embark on an exciting career in data science, we give our alumni the edge on the competition. Work on a real commercial data science problem, as part of a small team, with commercial partners ranging from exciting start-ups, SMEs, and charities, through to large multinational companies. Immerse yourself in the day-to-day of a data scientist from day one, making a real impact on real business challenges.
    Financing
    DepositN/A
    Refund / GuaranteeFee only payable upon acceptance to the course; applications are free!
    ScholarshipLimited partial scholarships are available and can be requested during the application process.
    Getting in
    Minimum Skill LevelMSc or PhD in an analytical field
    Placement TestYes
    InterviewYes
    More Start Dates
    March 14, 2022 - Online Apply by December 31, 2021
    July 25, 2022 - Online Apply by April 30, 2022
  • Excellent Program
    - 11/12/2017
    Anonymous
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    S2DS is an excellent place for PhDs to explore the possibility of going into data science, and in fact -- to making the transition. The value is more on opening the window to viewing what data science is, how it is used in industry, and connecting with companies and fellows, rather than on developing technical skills. 

  • Anonymous • Graduate
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    This course is a great way to get soaked in the world of data science. It provides a great overview of the data science scene, at least the English one, and offers great opportunities to start your career.

    The training is not a course where you learn to program, that should be had beforehand. This is a training where you learn a few new tools and methods, but the most valuable part of the training, besides the project experience, is the business talks they offer, they give a great introductions to understanding the motivations of the science you do in industry. Having the experience in a company (of course this depends on the size of the company) is by far the best thing of the course, since you get to see how things move "out there".

  • Anonymous • Data Scientist • Student
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    S2DS is a great opportunity for anyone who want to transition from academia to data science. I took part in the summer 2015 session, met great people, worked on a very exiting project within a team, and landed a job in London a few weeks after ... what more could I have asked for !

Thanks!