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Science to Data Science

Courses: S2DS London 2018, S2DS Virtual

Locations

Online, London

About Science to Data Science

Science to Data Science is a five-week bootcamp in London and online that trains analytical PhDs and MScs in the skills needed to be hired into data science roles. Fellows accepted into the program will learn by doing and teams will work in groups to... Read More

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Courses

S2DS London 2018

  • Cost: £1,000
  • Duration: 5 weeks
Locations: London
Course Description:

During the programme, you will work on commercial data science problems with a company from a range of exciting start-ups, SMEs, and charities, to large multi-national companies. We will immerse you into data science from day one; making sure you learn more in a shorter time than you have ever done before – and your work during the programme will have a real impact on live products and services. The network you build will be with you for life, and you will have fun and make friends while accelerating your career! Please apply at S2DS.org

Subjects: Data Science

S2DS Virtual

  • Cost: £1,000
  • Duration: 5 weeks
Locations: Online
Course Description:

During the programme, you will work on commercial data science problems with a company from a range of exciting start-ups, SMEs, and charities, to large multi-national companies. We will immerse you into data science from day one; making sure you learn more in a shorter time than you have ever done before – and your work during the programme will have a real impact on live products and services. The network you build will be with you for life, and you will have fun and make friends while accelerating your career! Please apply at S2DS.org

Subjects: Data Science

Science to Data Science Reviews

Average Ratings (All Programs)

Overall
Curriculum
Job Support

4.86/5

(29 reviews)
    11/23/2020
  • Emanuel Blei | data scientist
  • S2DS Virtual
  • Graduated: 2020

Overall Score

Curriculum

Job Support

"Five hectic weeks but worth it"

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... Read More

Comment
    9/29/2020
  • Anonymous
  • S2DS Virtual
  • Graduated: 2020

Overall Score

Curriculum

Job Support

"Really good experience with private companies"

Science to Data Science is a 5 week data science program that will allow you to work on a data science problem for a company. I participated to the 2020 virtual edition. I worked in a group of 5 (typical size) and we were lucky enough to deal with the... Read More

Comment
    9/25/2020
  • Petros | S2DS Alumni
  • S2DS London 2018
  • Graduated: 2020

Overall Score

Curriculum

Job Support

"Amazing experience"

I graduated from the S2DS August 2020 program. This year instead of being in-person, the London the program was virtual due to covid. Pivigo made a huge effort to make the experience work and it did. Amazing program, very satisfied with it. Totally worth... Read More

Note that, the lectures provided are very limited, and mostly oriented to providing a new view on things (business, finance etc). The more prepared you are before the start the better. (e.g. online courses on AI etc). This is not a course to teach you AI or ML. It's and opportunity to apply what you know to the real world. Also, there are non-AI projects available that relate more around software development and more traditional statistics.

The companies offering projects were energy, education, law, retail, finance, transport etc. Sizes ranged from non-profit and start-ups to mid and large scale established companies. One amazing part of the experience was the presentations at the end of the program. Watching more than 10 different projects be presented gave me a very nice view of the data science landscape, and I know have clearer view of what is the kind of data science I am interested in doing.

When it comes to job support, our cohort was unfortunate as due to COVID, the virtual job fair at the end was cancelled due to lack of demand. However, we do receive job adverts from pivigo.

My take home message is do it. You won't regret the time spent, and after the program you will feel much more confident on how to present yourselves at an interview setting, as you will realise in practice the value you can provide to businesses. Be prepared for an intensive 5-weeks though. There won't be much time for other activities, but its fully worth it.

Comment
    9/25/2020
  • Anonymous | Data Scientist
  • S2DS Virtual
  • Graduated: 2020

Overall Score

Curriculum

Job Support

"Project-based 5 week bootcamp - great commercial experience"

S2DS is a project based bootcamp that helps analytical PhDs gain commercial experience. Participants are divided into teams of 4-5 and assigned projects at companies (there is a wide range of projects to be involved with). There is constant technical... Read More

Comment
    9/14/2020
  • arnaud leredde
  • S2DS Virtual
  • Graduated: 2020

Overall Score

Curriculum

Job Support

"Great bootcamp to become a data scientist"

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... Read More

Comment
    12/9/2019
  • Miaomiao Yu
  • S2DS Virtual
  • Graduated: 2019

Overall Score

Curriculum

Job Support

"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... Read More

The learning curve at the start was steep: working remotely and in a team meant that communication was vital. This was quite different from my experiences in academia and learning to delegate felt awkward at the start. We also had many meetings with the company to clarify the concepts and project goals. As it turns out, one of the biggest hurdles was to understand what the client wanted, translate that into data science problems, and construct an appropriate and feasible plan that we can execute.

We did a lot of exploratory analysis on the datasets we were given for the first two weeks, and started refining our ideas by the second half of the programme. We also started working on an interaractive visualisation platform, improving on the existing data presentation method. The team dynamic varies from one team to another: we were lucky to have found what worked for us early on: splitting the project into smaller tasks and tackling them either individually or in pairs. We communicated any difficulties we faced and always operated as a team (i.e. no one was left behind/out of the loop and no one tried to 'run ahead'). With the help of our external mentor, the CEO of the company as well as the Pivigo team, we delivered products that were incredibly valuable to the company.

The programme also included web-seminars on job hunting, CVs, teamwork and panel debates from past alumni and people who work in freelance, corporations and start-ups. We also had a daily Q&A session where we discussed a topic in data science that interested us. These activities ensured that we had an all-round learning experience.

In all, the journey reaffirmed my passion for data science and was truly the best thing I could've done for my career at this stage. Highly, highly, highly recommend!

Comment
    12/8/2019
  • Anonymous
  • S2DS Virtual
  • Graduated: 2019

Overall Score

Curriculum

Job Support

"An intense but fulfilling experience."

This was a 5 week intensive data science course for  people coming from academia ( MSc/PhDs). You are expected to have some experience of scripting before hand (typically Python or R). The course makes the student familiar with the way of working in on... Read More

Comment
    12/4/2019
  • Debashis Sanyal
  • S2DS Virtual
  • Graduated: 2019

Overall Score

Curriculum

Job Support

"Well-organised, intense bootcamp. Useful for gaining commercial experience"

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... Read More

The Pivigo team organises a few webinars during the first week on good coding practices, teamwork, etc. but there are no technical presentations or teaching involved. During the course of your project, you'll have regular meetings with the client to discuss progress, and the technical mentor is always ready to help if you get stuck really bad. Apart from that, around 3-4 panel debates were organised where a number of data scientists were invited to talk about their journey and career path. There was also a daily Q&A session where the full cohort used to discuss a topic related to AI/data science, led by one participant per day. You'lI get to learn not only about different interesting topics, but also about your fellow participants. Another nice touch was the one-to-one speed-networking sessions where you get to meet each of your fellow participants. Having said that, the peer-networking is one aspect where the on-site programme clearly wins over the virtual one. I must add that all the Pivigo staff members are very helpful, and they really try to ensure that each participant is having a good experience during these 5 weeks.

Please note that this is not a traditional 'bootcamp' where you are first taught a topic and then handed out a set of exercises to test your knowledge. This is for people who are already comfortable with coding (Python/R) and have basic understanding of statistics and machine learning concepts. The rest you have pick up on the go. S2DS adds to your CV the commercial experience as a data science consultant which makes you ready to hit the job market. Another important point is that S2DS is a full-time commitment, you need to spend at least 8 hours everyday working on your team project.

Regarding job assistance, it is too early for me to comment since I've just started applying for jobs. But you do get access to the huge S2DS alumni network and job advertisements that are announced in members-only Slack channels. There is an informative webinar conducted towards the end of the programme that helps you to structure your job search, starting from designing your resume to negotiating your salary.

Overall I'd recommend S2DS to anyone willing to transition from academia to industry as a data scientist. :)

Comment
    12/2/2019
  • Anonymous
  • S2DS Virtual
  • Graduated: 2019

Overall Score

Curriculum

Job Support

"Supportive community and enjoyable course"

Pros: worked on a real project for a company from day 1, got lots of coding experience, learnt some new teamwork and communication skills, got honest career advice and made connections with a large alumni network.
Cons: long hours, perhaps the course... Read More

Comment
    12/2/2019
  • Anonymous
  • S2DS Virtual
  • Graduated: 2019

Overall Score

Curriculum

Job Support

"Real practical work experience with excellent support"

I took part in the S2DS Virtual Program in October 2019 while based in Germany. The application process consists of an online application on the Pivigo website, followed by an interview which tests basic technical knowledge as well as asking general motivational... Read More

On starting the program there are several introductory talks for the first two or three days; however, the majority of the program (which lasts 5 weeks) consists of working on a real data science project from start to finish with a client. My team was working on an interesting project with the UK Food Standards Agency (FSA). On assigning projects, individual preferences are taken into account. The virtual format of the program works extremely well and is of great benefit, especially with regards to changes in working habits in recent times. The majority of the teams made use of Slack, Github, Zoom and Trello for communication and team organisation. The team is generally left to its own devices; however, regular meetings are organised with a company mentor (in our case from the FSA) and technical mentors from Pivigo to keep the team on track. Another nice touch is regular individual meetings with a personal mentor at Pivigo, where additional more private matters can be discussed.

Aside from the project, virtual networking sessions as well as Q&A sessions are organised to get to know the whole cohort. These sessions are not only great for practicing networking skills but also make you realise that everybody is in the same situation. A series of panel debates are also organised regularly with data scientists from startups, corporations and former S2DS alumni. These are very informative and give a good overview of the breadth and depth of roles available in the world of data science as well as allowing you to ask any questions to the panel.

A very helpful careers presentation was also given towards the end of the program, which really made me think about changing my approach to the job search. Immediately following the program individual CV and Linked In profile reviews can be requested at any time. You are also given access to the whole Pivigo S2DS alumni network (over 600). This is useful not only for access to privately shared job roles, but also as a knowledge resource for any technical challenges faced later in your career.

At the end of the program final team presentations are given in the form of a webinar in additional to the requirement of a written report for the client. Not only was there a great sense of achievement on completing the program but a real sense of community with the cohort. The program was an extremely useful topic in a recent interview I had: here the journey of doing a project from start to finish offered by S2DS was key. The interviewers were also impressed by how so much was achieved in just the space of 5 weeks.

I can wholeheartedly recommend the program to anybody interested in a career in data science. I would emphasise that for an academic thinking of moving into industry (like me), the experience is invaluable even if you do not end up pursuing a pure data science role as a lot of the things learnt here are transferrable to many related technical roles.

Comment

Science to Data Science's average rating is 4.86 out of 5.0 based on 29 review(s).

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