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 4.93
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
50 reviews sorted by:
- Alberto Guffanti • Senior Developer • Applicant • Course: Science to Data Science Virtual • Campus: Online • Verified via GitHub
Being still undecided whether to leave academia or not, I decided to participate in the S2DS bootcamp to get a flavour of what the life of a Data Scientist in a commercial environment would be. And all I can say is that this has been a great decision.
I opted for the S2DS Virtiual course because, due to family constraints, I would have not been able to move for 5 weeks to London, although I was a bit skeptical about the online format. I knew people who participated in S2DS London in the previous years and they all enjoyed and reccommended it, but I was not sure the Virtual course would be as engaging as the residential one.Truth is that the team at Pivigo are really great at running the course and are able to make the online course feel almost as a residential one!
The format is really good and it makes you (or at least me) realise that as a PhD/Postdoc what one is missing for a successful as a commercial Data Scientist is not technical skills but the soft skills to adapt to a different way of working.
The projects are generally quite interesting and the company mentors are very engaged and helpful and the staff at Pivigo is extremely helpful and supportive.
Being part of the S2DS Alumni community is a great way to start a professional network of data scientists and industry experts, a crucial element when looking for your first data science job outside the academic world. Although the course (and the related network) is quite UK centric, including it in your CV will boost your value in the eyes of recruiters and companies all over Europe.
In conclusion, I would definitely reccommend S2DS to anyone looking to transition from Academia to a commercial Data Science role! It will help you a lot in jump-starting your new career and, most of all, you will truly enjoy it!
- Dr- 10/28/2017Olusegun Oshota • Graduate • Course: Science to Data Science Virtual • Campus: Online • Verified via LinkedIn
I had a previous experience as a Post-Doc in Bioinformatics and Systems Biology within the academic set-up before enrolling on the 'SCIENCE TO DATA SCIENCE VIRTUAL' . I was interested in gaining experience in the applicatrion of machine learning to 'BIG DATA'. S2DS provided me with an excellent opportunity to do just that in the sense that I had the opportunity of developing my machine learning skills on a project which involved analysis of large datasets provided by an online marketing company. Apart from the project I was able to interact meaningfully with the other would-be Data Scientists, and also gained experience of working in a remote virtual environment. I recommend the 'SCIENCE TO DATA SCIENCE VIRTUAL' to any aspiring Data Scientist who are unbale to go to S2DS in London.
- A truly great Data Science experience- 10/25/2017Pavan Sangha • Student • Course: Science to Data Science London • Campus: London • Verified via LinkedIn
Science 2 Data Science, offered my the necessary experience to help transition from academia to industry. I have a very theoretical PhD, and i wanted a platform to show off programming and data science skills that i had aquired through self teaching. S2DS London was this perfect platform!
I got to work for 5 weeks in an intensive but fun work environment with like minded collegues who all shared the same goal. What was extremely pleasing was that i loved the project i was assigned to. I was able to work for a start up and experience the perks of working within the start up culture and at the same time work on a fraud detection problem that would have a truly massive impact on the business going forward.
If you want to be part of an amazing network, gain some experience into working on a real life data science project which not only develops your technical skills skills but also the soft skills needed to work within a team in industry, then S2DS is the place to be.
- The golden ticket to data science- 5/17/2017Naser Monsefi • Graduate • Course: Science to Data Science Virtual • Campus: Online • Verified via LinkedIn
From the day I decided to switch from academia to data science; this course was on the top of my list. I was originally planning to do the on site course but the on-line course tunred out to be the better option (no UK visa hassles for me). The course was intense but for a good reason and it gave me a sense of how data science roles are in real commercial settings. Our team of three, had great mentors both from course side and the company providing our porject. Although I already had quite good technical skills, the course thought me a lot. My biggest achievment was how to work in collabration with others toward the same goal in a short time frame. I also learned how to look at analytical problems from a commercial view point.
In the end, beside the great experince from the course itself, I had a better understanding of what a data science do and what type of roles I would be better to apply. Eventhough they mainly help for looking jobs in the UK, by just adding the course to my CV I were asked for more interviews outside of UK and I was able to show case my performance potential in a commercial settings.
I highly recommand this course for all the academics who are planning to pursue a data analytic career.
- Best jump start for a Data Science career- 4/27/2017Matteo Guzzo • Data scientist • Graduate • Course: Science to Data Science Virtual • Campus: Online • Verified via LinkedIn
If you are in academia and wonder if data science would be a good or feasible idea for a new career (hint: it is), this is what you are looking for.
S2DS gave me the hands-on experience I needed to be confident about my potential and perspectives in data science. This is something that any MOOC or Kaggle competition would never be able to give you. I can't stress enough the importance of working in a team for a company whilst trying to solve a business problem. The value of such an experience is incommensurable, and you will take advantage of it on your CV and during job interviews.
S2DS also gives you access to a network of data scientists, career advice, and job leads, all extremely helpful for your future data science career.
All this comes in the form of quite an intense but very enjoyable 5-week experience, where you'll be in the company of very like-minded people. The opportunity to meet and discuss all sort of ideas with other participants is another invaluable perk.
I was quite suprised by how well the virtual program worked, despite having to work remotely with people from all corners of the continent. That definitely worked much better than I expected.
In short, if you are an academic looking to jump into the data science endeavour, S2DS is a no-brainer.
- S2DS is the reason I have a data science job- 3/24/2017Jonny Brooks-Bartlett • Data Scientist • Graduate • Course: Science to Data Science London • Campus: London • Verified via LinkedIn
Without a doubt the best career decision I've made. I wouldn't be in my current data scientist position without it!
The S2DS London programme was such a great experience. Although at first it can feel quite daunting, you'll quickly find out that everyone is like-minded and supportive so it never felt like a competition.
I had initially expected formal lectures on the technical aspects of data science learning about algorithms and new technologies so I was surprised when so many of the lectures were so soft skills focussed. However, through several networking events and my experience on the job market I realised just how much more useful it was to have the lectures that we did.
S2DS gave me a much broader perspective of the data science landscape and made me realise that I already had the skills to be a data scientist, I just didn't know it before. Importantly it gave me a huge data science network and the relevant commercial experience to get my data science career started.
Even after the course, the assistance and advice I received was great. No recruiter I spoke to was ever that helpful or suggested I should aim as high as the team at Pivigo. Ultimately it was a presentation that I gave about my S2DS project at a Pivigo organised Meetup that got me the job I'm in now.
If you're thinking of starting a career in data science and are not sure where to start then I whole-heartedly recommend S2DS!
- S2DS London 2020- 9/15/2020Viktoria Csink • PhD candidate • Graduate • Course: Science to Data Science London • Campus: LondonThis is a wonderful course for PhD graduates in the Natural Sciences who are interested in transitioning into data science. The course was brief and tough, most of it was self-taught, which is perfectly suitable for fast learners with a PhD. The experience of communicating with the company and working in a team was especially valuable. Lots os additional technical help is provided, and there is a rich framework of talks and events that help the candidates navigate their ways into data science. I strongly recommend this course - it was a fantastic challenge and a really rewarding experience overall.
- Data Science Bootcamp- 12/28/2019Sudhir N. Pathak • Graduate • Course: Science to Data Science Virtual • Campus: Online
Allow me to give the take home message at the start - if you are from academics and want to get working experience of data science and industry, the five weeks at S2DS are of great value.
Given that we have a great deal of technical training in our academic career, it may look like doing data science is not very different. I believe this program will change your opinion like it changed mine.
Like most of the people who joined this program, I do have a strong academic background. I have completed my PhD in Physics, and then have been working as a post-doctoral fellow. My research work mostly involves programming, data analysis and problem solving. One year back, I decided to make a transition to a career in data science, motivated by desire to solve real-world problems. I learnt machine learning, deep learning, data science by taking various courses.
It is hard to get a data scientist job without hands-on data science experience. Looking for opportunities to gain experience of working on industrial projects, I came to know about S2DS through a friend who had joined the S2DS program and successfully transitioned to a data scientist career.
The most important skill which I Iearnt in S2DS and which is very critical in industry is communication. I closely worked in a team of 4 people, all of us from different background, academically and culturally. It was great opportunity to learn and develop the communication skills. This also gives the opportunity where we are working together almost all the time, updating each other using slack, regularly meeting through hangout. In addition to the communication within the team, we were interacting with our clients twice a week, where we used to get clarifications on the problem we were trying to solve, and constantly updating them we the progress we were achieving. Working as a consultant was a totally new and fun experience.
The mentors at S2DS were extremely supportive. We had regular scrum meeting with S2DS technical mentors, where we got clarity on the ideas we were following and also directions to pursue in order to solve the problem. S2DS also looks into whether we are happy as a team, making sure that team remains on a cohesive ground.
To conclude, it was really a great experience for me. I got to learn a lot, be it the hard skills or the soft skills required to a successful data scientist. I will highly recommend this program.
- Elena Lestini • Graduate • Course: Science to Data Science London • Campus: London
Datascience is a perfect field for scientists who want to change career and transfer their STEM skills and knowhow to the IT & Data sector, but it is not always easy to find the right opportunity to kick off the transition from science to data science. The S2DS programme provides this opportunity and actually delivers more than expected: datascience projects with trading companies/institutions, team-based work, presentation coaching, MBA microcourse, best coding practices, career advice, job fair, networking opportunities and much more. If you are looking for a data science programme think S2DS, it ticks many boxes!
- A very positive experience- 10/21/2019Hameed S • Graduate • Course: Science to Data Science London • Campus: London
I was looking to gain some experience in Data Science and chose the S2DS programme as it offered good exposure to practical data science projects and provided the opportunity to develop the skills required to pursue a career in data science.
The programme is well structured and the mentors provide good support and help you through the difficult parts of the programme. Though there are no technical training or courses in data science, the mini-MBA helps in understanding the role of data scientists in commercial projects.
Overall, I had a very positive experience and good exposure to data science projects.
- Fantastic experience, highly recommended!- 10/21/2019Andrius • Data Scientist • Graduate • Course: Science to Data Science London • Campus: London
I was involved in several data science projects before starting the program. However, these projects were limited to academic settings, often resulting in publications and proof-of-concept prototypes. These prototypes were often abandoned after publishing results in a scientific journal and rarely made it to "real-life" settings.
S2DS gave me a good taste of a typical data science project in industry, covering requirement elicitation, model development and deployment. I had a chance to work with brilliant fellow data scientists supervised by skilled mentors, available whenever their help was needed. The 5 weeks spent in London were both intense and rewarding at the same time. The program exceeded my expectations and I am extremely satisfied with the outcomes!
- A great experience; highly recommended!- 10/2/2019Shad • Freelance Data Scientist • Graduate • Course: Science to Data Science London • Campus: London
I finished my Ph.D. in October 2018. From that point to the start of S2DS, I applied for so many jobs that I have lost track. Having no commercial experience makes it very hard to find a job in a competitive market. This is why I enrolled in S2DS, as a proxy to getting real, hands-on experience in a data science environment.
What I got out of it was more than that: a circle of friends and mentors, always ready to help when I have difficulties. This, coupled with the experience, is invaluable! I highly recommend the program!
Ohh, and I got a job on the last day of S2DS!