Science to Data Science
Science to Data Science offers both a 5-week data science workshop in London training analytical PhDs, and a 5-week online data science course for both PhDs and MScs. Both courses teach 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. The curriculum also includes 30 hours of lectures on topics such as professional development and business skills, designed to help students achieve their goals after the program. For those attending the campus-based program, housing in London is included.
All applicants should have intermediate programming skills in a mainstream programming language, and a strong desire to change careers into a data science role. Applicants for the in-person class should have a PhD, or be in their final year of a PhD. Applicants for the online course need at least a MSc in an analytical science, and some programming experience.
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 4.95
Recent Science to Data Science News
- Data Science
In PersonFull Time4 Weeks
Start Date None scheduled Cost $800 Class size 100 Location LondonThis five week workshop trains analytical PhDs and scientists in the commercial tools and techniques needed to be hired into data science roles. The aim of the workshop is to create a pipeline of high quality, commercial data science talent.
Minimum Skill Level PhD Required Placement Test No Interview Yes
- Data Science
Start Date None scheduled Cost N/A Class size N/A Location OnlineScience to Data Science is a five-week online workshop that trains analytical PhDs and MScs in the skills needed to become Data Scientists. Fellows accepted into the program will learn through practical work, and teams will work in groups to complete real-life big data problems. The curriculum also includes 30 hours of lectures on topics such as professional development and business skills. Applicants should have a PhD or MSc in an analytical science, some programming experience, and a strong desire to change careers into a data science role.
Minimum Skill Level MSc, PhD Placement Test No Interview No
Science to Data Science Reviews
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- Martino Lorusso • Graduate • Course: Science to Data Science Virtual • Campus: Online
Since I was interested in starting a new career in DS, I decided to enroll on October 2017 Virtual S2DS programme by Pivigo, and I am very happy with this experience.
S2DS is an immersive 5 weeks training that offers the opportunity to work on a real DS project for a real company with a team of aspiring data scientists. That is very helpful cause it gives a taste of what it really is a data scientist's job.
The projects are engaging as well as challenging, and put to a hard test students' analytical, critical and creative thinking skills. As for me, I learned tons of useful things by working on the project my team was assigned, primarily from my teammates.
Furthermore, the daily interaction with teammates, technical mentors and company mentors fosters the participants to improve their communication skills, which is fundamental in order to become a good data scientist.
The organization was impeccable. Pivigo mentors and all the staff were very supportive throughout the programme and help make the communication both within the team and between the team and the company mentor easier and effective.
The organisers also provided interesting panel debates with experienced data scientists as well as S2DS alumni to share their experiences and valuable advice about the transition to industry and discuss relevant DS topics.
Last but not least, the daily interaction with your teammates and other students through the online platforms used in the programme (Slack, Zoom, Hangouts) helps make new friends and start building a network of colleagues which will enrich you both personally and professionally.
To conclude, if you have a solid scientific background and are motivated to transition to data science, I can only highly recommend S2DS bootcamp!
- Perfect programme to transition from academia- 11/30/2017Ana • Graduate • Course: Science to Data Science Virtual • Campus: Online
The programme really helps you transition from academia to data science.
Both the technical and non-technical mentors are always available to help you with the training or post-training. The networking done during the training is really valuable.
I would really recommend it to anyone who wants to move into data science with a scientific background, even if you are not sure if you wanna quit academia!
- A great program for career transition- 11/30/2017TC Peng • Course: Science to Data Science Virtual • Campus: Online
This program is helpful in many ways. Firstly, it implemented with real-life projects from the companies interesting in Data Science, which helps the students to learn the commercial awareness in every aspect of their works. Secondly, closely working together boosted the skills to work as a team and improved many soft skills of students, i.e., communication, time management, and presentation skills. In addition, the mentors were very supportive and attentive through out the program. Thirdly, the S2DS program invited some experts and alumni who are currently working in the DS industrial to share their experience, and it was highly valuable to the students. Moreover, the daily interaction with other students in the five-week span initiated an important network for the people who want to start a new career in DS. Therefore, I highly recommend this program.
- How is daily life in data science?- 11/17/2017Alejandro Zamora Soto
I clearly remember that good conversation with a very good friend of mine from the institute where I did my PhD, where he told me about a very interesting data science trainig programme he took offered by Pivigo in London. Actually, he came back to London after he finished the programme for working as a data scientist freelance in a very good project. That conversation and the fact that I had been for long time thinking about other professional paths apart from the classic academia, pushed me to enrol the S2DS 2017 programme at the campus. Since the very beginning I noticed that this experience was what actually I was looking for: the programme gave me the opportunity of explore what data science means, not only from the theoretical point of view but, more important, from the practical point of view. The programme brought the opportunity of knowing what working as a data scientist means,
what skill are required for being good data scientist, how to interact with people and to create your own network, what you can and can't do if you want to get a data science job. All this was supported by the extraordinary work of the Pivigo people, from whom I got support before starting the course, during the course and after the course. I strongly recommend this data science programme to all the people coming from/stack at the academia that want to know how is the daily life of a data scientist and what you can do for getting into it.
- Ross Williams • Data scientist • Graduate • Course: Science to Data Science London • Campus: London
I find it hard to imagine how I would have got a job as a data scientist without attending S2DS.
The key element at the heart of the S2DS experience is the company project, and there could not be a better way to bridge the gap from “I’m an academic who can analyse data in python” to “I can tell you how to add value to your company with this data, and I know how to do it.” Interacting with the company and technical mentors gives you the support you need to bound up the learning curve towards fully functioning data scientist. I really enjoyed working on the project with my three team mates - we all shared a similar academic background and it was great to work with like-minded people starting their data science journey from the same point.
Another great thing about S2DS is how the program injects you into the heart of London’s data science landscape through networking events and panel debates. This is invaluable for understanding the different sorts of companies out there looking for data scientists, and gives a big kick start to growing your data science network.
I would thoroughly recommend this course to any PhDs out there looking to make the transition to data science.
- S2DS: an excellent introduction to Data Science- 11/12/2017Xavier Dumusque • Dr. • Graduate • Course: Science to Data Science London • Campus: London
Being a postdoc in astrophysics for now 4 years, having won a few prestigious fellowships and having publish some interesting results so far, I am on the good path to obtain a position in the near future. Plus, I really enjoy doing research, and I have the chance to be part of an amazing group. I therefore want to continue in academia, if possible. But as many of you know, even with an excellent CV, it is extremely difficult to get tenure.
To have other options in case my career in academia ends, I started looking around and to speak to some friends that went out of academia. 90% of them, mostly physicists and astrophysicists, took a job in Data Science. Most of them were excited by their new job and because I did not have time to study Data Science on the side of my work, I started to look around for an intensive training. I was able to speak to four people that did S2DS, they were all very happy with the training, so I decided to apply. Besides my friends' reviews, I was also attracted by the concept of S2DS, a little bit of theory at the beginning of the training to catch up on Data Science tools and to understand the philosophy of working in the private sector and then directly working for a company on a real project.
Two months before S2DS starts, they will ask you about which type of project you would like to do and in which type of company. A month before S2DS, you are assigned a project with teammates (2 to 3) and you have a chat with the mentor of the company you will be working for that will give you more details about the project. In my case the subject of the project was close to what I wanted.
The training starts with 1.5-ish weeks of teaching, were you learn the basics of good coding, you get some notions of marketing, economics, but you also learn some basic Data Science tools. All the classes are very general and it is not possible to get lost. As I am coding quite a lot for my work, and have 8 years of programming experience with Python (the Data Science language) I did not learn a lot during those classes, but I believe it is very good to keep everyone on track. Most of the speakers were excellent, the S2DS team is doing a great job at curating speakers.
Then you start working on the project with your teammates. The mentor of the company is there to help, but also S2DS provides you a technical mentor, specialized in Data Science, that is nearly every day on the campus. In the case of our team, the project was not clear at the beginning and was extremely challenging for newcomers in Data Science. We had to do some unsupervised Machine Learning on a big data set of unstructured texts to detect anomalies. This perhaps does not ring a bell for you if you are not into Data Science but this is probably one of the most difficult chapter of Data Science today. From what I understood, the mentor of the company was not familiar with this kind of analysis, and he could just give us a few Natural Language Processing tools available out there. He was not very organized and in the end, we did not have a lot of interaction with him. However, the technical mentor provided by S2DS helped us a lot. He was not an expert in this field either, but he was able to give us some really good advices and I believe that at the end we did a good project given the circumstances. We definitely learned plenty of very interesting tools, how to work in a team and how to move forward when you do not know where you are heading to, in a few words very similar to scientific research. I would say that this experience is rather personal, and I know that it was much better organised for other teams. I do not think that S2DS is responsible for that and it is more the company that did not do the part of its job.
During the 5 weeks, several networking events are organised, to meet the London Data Science scene, speak to former academics that transitioned to Data Science, and look for jobs. A career affair is organised at the end of the training.
Even if the project I worked on with my teammates were perhaps not the best, I learned a lot during those 5 weeks, I am confident know that I can become a Data Scientists if I want to do so, and I have learned some tools that I apply to my research now. S2DS is really a great program, very well organised, were you work a lot, but you also share very good moments with your team, other fellows. I can only strongly recommend this program if you want to switch to Data Science or even if you want to learn more about this exciting part of Statistics.
- Great Way to Gain Data Science Experience- 11/2/2017Jack • Graduate • Course: Science to Data Science London • Campus: London
Upon completing my PhD I was looking to transition in the data science field. Athough I had self-taught a number of the requisite skills that were needed in addition to scientific training I already posessed, it was very hard to gain any commercial experience. The catch-22 of needing experience to get the experience of an internship of junior position was rather frustrating.
S2DS offered a great opportunity for me to tackle a real commercial project for a multi-national company. In addition, being able to interact, ask questions and get a better understanding of what a data science role is like in a company was very useful.
The technical mentors of the course were very generous with their time and knowlegde, giving valuable insight on the soft-skills as well as the technical, helping me to understand some of the challenges when working in a business setting and having to relay information/resuts to a non-technical audience.
- Dr- 10/28/2017PhD in Physics, Computational material Science, Web app Developer and Data Scientist • Data Scientist • Graduate • Course: Science to Data Science London • Campus: London
It is a fantastic way to start working on a team basis and building your portfolio. Besides, you get access to extensive networking that gives you the opportunity to gain insights into different fields of the industry where Data Science techniques are applied. If you come straight out from academia, it is one of the best chances to know more about the world business.
- A very useful data science experience- 10/25/2017Guido Franchetti • Graduate • Course: Science to Data Science London • Campus: London
S2DS provides is a very useful if compressed immersion into the data science world. About 2 of the 5 weeks of the project are mostly devoted to lectures of various kinds. While, given the time constraint, these cannot be expected to go into great depth, they are still useful to get an overview of various subjects, and of some of the existing tools. The core of the bootcamp consists in teamwork (3-5 people) on a "real" project provided by one of their sponsors. The project quality can vary a bit depending on the sponsor - I was very happy with mine. This is in my opinion the most useful part of the experience, as it gives an idea of what a data scientist job consits of, at least in a particular sector. The Pivigo team and host of mentors are always very friendly and available and for support. Being surrounded by about 100 people of various nationalities and backgrounds and with a similar interest is also very enjoyable. There are considerable opportunities for networking.
- Intense and very supportive course- 10/24/2017Michèle Pettinato • Researcher • Course: Science to Data Science London • Campus: London
I had several years of experience as a Post-Doc and knew the academic job-landscape well, but when I decided to venture forth I realised that I really didn't know anything about how industry operates, nor how to sell my skills.
S2DS was hugely transformative in this, as the curriculum and applied project are designed to give you an understanding and experience of working in companies. I was impressed with the support network Pivigo put in place for the course: we had solid mentoring from the company we worked with, excellent advice from external technical mentors and dedicated Pivigo mentors who helped with the organisation and communication within teams. I feel I learned more about how to organise a fertile work environment in those 5 weeks than in some year-long projects I can think about...
On the technical skills side, would say that this is not the main brief of the course, and applicants should come with a good grounding in place. The suggestion for preparatory online courses were helpful for that.
Doing the course has equipped me with knowledge of how to market my skills and what to expect out there. Having tangible commercial experience has meant that potential employers and recruiters now have a completely different attitude to me than before S2DS.
After the program I quickly got into conversation with one of the companies and I'm about to sign my first employment contract outside academia with them. Pivigo continued to mentor me throughout this process.
So in conclusion, S2DS delivered exactly what it says and has worked for me! Plus, it's a lovely environment with great people.
- Great start to a data scientist career- 10/23/2017Kate • Data Scientist • Graduate • Course: Science to Data Science Virtual • Campus: Online
I had been waiting to move into Data Science from Academia for over a year and S2DS gave me the start I needed. I couldn't wait for the live corse so did the virtual one and recommend it if you are in the same position. You have to be motivated but the instrutors on the course do their very best to help with multiple checkins and are always on hand to give advise. I got to meet every person on the course with arranged one-to-one chats so I didn't feel like I was doing this alone.
After the course I used the project I did and what I learnt from it in interviews to help me get a job. It gace the interviewers something to ask about and me something to talk about to show I understood not only data science but industry. And when it came to getting a second job, I went through the S2DS alumni groups and got a fantastic job thorugh their carrers area.
Definitely worth the effort and time to take this program if you are interested in a carrer in data science. It's a great gateway in.
- Commercial experience and network- 4/27/2017Chiara Biscaro • Data Scientist and Software Engineer • Graduate • Course: Science to Data Science London • Campus: London
I would recommend S2DS to any scientist interested in a transition to the data science industry. As other reviewers said, the skills are already there, but it's difficult to break through in the industry with only academic positions in the CV and without knowing anyone. S2DS fills both of that gaps, giving the vital commercial experience that is nowadays needed also for entry job levels, and a network to be able to put your foot in the door.
There is a huge variety of companies at the program, and most of them are hiring (and not only the people doing a project for them, I'm proof of that!). The project will give you something interesting to talk about in any interview you will have to do, while the Pivigo recruiters will help with your CVs and applications. I've got positive experiences with very few recruiters, and David at Pivigo is one of them.
Only downside, if I have to find one: the program is very UK (particularly London) oriented, so if you want a job somewhere else, the network will be less useful. But, again, I found a job in Paris through the Pivigo network, so staying in London is not an obligation.
- Amy McQuillan • Business Modelling Consultant • Graduate • Course: Science to Data Science London • Campus: London
The 2014 S2DS London summer school provided me with the perfect support and opportunities to transition to data science after leaving astrophysics. I wasn't sure exactly what I wanted to do, but the 'try-before-you-buy' approach allowed me to test out the business world for a month before making my final decision - I loved the company I did my internship with and they wanted to hire me, so I've been happily working there for 2.5yrs now.
The course itself was excellent and included a mix of training material and hands on project experience. It's 5 weeks of very hard work, but totally worth it, and the most energised I'd felt towards project work for a long time.
Besides the data science and business skills/training that the course includes, it also provides you with a ready made social/business network. Many of us have jobs in London and still meet up regularly.
In summary, highly reccomend it for anyone looking to move from academia to data science.
- S2DS Virtual Review- 3/19/2017Lee • Data Scientist • Graduate • Course: Science to Data Science Virtual • Campus: Online
Before finding out about S2DS I had already decided that I wanted to move into data science, so before applying I had been working my way through a few online courses, as a way to get a broader understanding of the skills needed in data science. And worked on a couple of personal projects based on public datasets, just to get a feel for using some of the tools and an understanding of what public datasets look like. On the programme there was a good mix of people with different skill sets, which was helpful when getting stuck with a problem, as there was someone who was able to give me an idea of how to fix it or another way of looking at it.
I was one of the people that took part in the very first virtual programme, meaning it was a new experience for all involved, so there was no set rules about the way to work, we had to experiment and find what worked best for us. The way they do things now may have changed slightly, as they refined the programme, but the main way of working (conference video calls with all members and group skype sessions) should be the same. The members of my team were only a short distance from London (purely by chance), but all the other teams had their members spread all across Europe.
Doing the virtual programme didn't hinder my learning experience, because a lot of the learning involved going off and exploring how to do something. Then afterwards reporting back to the team, by sharing links to examples, useful info or some graphs that you had produced. And if we needed to talk, we just started a skype call or google hangout. I had done remote working as part of my PhD, so was happy with the idea of it, and I had been thinking about doing a data science programme for a while and when I saw the first S2DS virtual advertised in their newsletter, I was very keen to give it a try.
I was happy I gave the programme a try, as it gave me a better understanding of the business side of data science and helped me make a number of useful contacts. And I notice that after putting S2DS on my CV, I was getting through to more job interviews and it was something that a number of interviewers were interested in talking about. So it was helpful as a real world example, that I could use to explain how I had tackled challenges, met key goals and interesting facts I found out. And the people from S2DS continue to be very helpful after the programme, with advice and informing me about job events.
- S2DS Remote- 12/4/2019Anonymous • Graduate • Course: Science to Data Science Virtual • Campus: Online
During this program I worked in a team of four with a company in a commercial DS project.
It is a very intensive program with very interesting webminars, panel discussions and tecnhical support from internal and company mentors.
At the beginning I was reluctant about how to work remotely in this kind of projects (as I have done all learning/projects by my own in the past), but the countinuous meetings with the team and mentors made the communication and team work being a success.
Also, I tried something called 'pair-programming' that, at first, sounded like a very difficult thing to do when people are not sitting together, but after the experience, I am planning to add it to my way of working( it is a great way of moving fast in the project at the same time of learning from others).
Another thing to highlight is that S2DS community is great! Lots of activities are organised every week to know each other as we worked remotely and there was even a 'Day out' in London that was excellent!
I would recommend this course, without hesitation, to anyone struggling to move into data science or who wants to find out what it’s like to work as a data scientist.
- Anonymous • Graduate • Course: Science to Data Science Virtual • Campus: Online
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 questions. About 3 weeks before the program we were given access to several program-specific videos covering things such as programming in Python and R, data visualisation and git. The videos are very clear and great to get started with any topic you are unfamiliar with. Also provided is a document suggesting additional learning resources as well as interview preparation materials.
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.
- No rejection message- 8/27/2018Anonymous • Applicant • Course: Science to Data Science London • Campus: London
Let me begin by stating that I applied for S2DS, but was not accepted. The people that I interacted with during the process seemed to know what they were doing, so I will assume that they were right in rejecting me. If I do not fit in the group or am not fit to be a data scientist, I can only agree with their decision not to waste a valuable spot on me. What I do not agree with is the way that information on my rejection was provided to me.
In April 2018 I applied for S2DS London. The programme looked great and I was very enthousiastic and eager to join, as I was at the end of my neuroscience PhD and was thinking of a career in data science. I was invited for an interview and had a pleasant (but definitely not flawless) conversation with the woman on the other side of the skype connection. I was given her e-mail address for any further questions and I was told that I would receive information on acceptance by April 30th latest.
Being very eager and nervous whether I would get accepted, I barely made it until May 1st before I couldn't take the excitement any more and I e-mailed the person I had my interview with. I never got a reply from her. Two days later, I decided to e-mail the person that had invited me to the interview. She finally replied a week after the self-applied deadline of May 1st with the information that they were very busy accepting people and would get back to me soon.
Two weeks later (May 21st), I still very much wanted to join and decided to be the one to open the conversation again. I got the reply that I was not immediately accepted, but rather placed on a waiting list with the information: "There are always a few who decline their places or drop out and then I would like to be able to make you an offer". I thanked her for the place on the waiting list and decided that all I could do was wait and I did. About three weeks before the course was supposed to start, I decided to let them know that I would still be very happy to accept any open spots in the course. I never heard from them again.
Sorry for the long post. In summary, I assume the course is great and very worth taking. However, the rejection procedure is not very professional and may leave you with a slightly bitter taste, given the time you probably invested.
- Excellent Program- 11/12/2017Anonymous • Course: Science to Data Science London • Campus: London
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.
- Good way to transition into DS- 10/23/2017Anonymous • Graduate • Course: Science to Data Science London • Campus: London
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 • Course: Science to Data Science London • Campus: London
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 !