Locations: London and Cambridge
Programs Available: Data Science
Cambridge Spark provides continuous professional development training for developers and Data Scientists, with a focus on helping individuals upskill and become more employable. Courses include intensive, part-time programmes, practical Data Science Summits and regular community events on the latest tools and techniques in data science and software development to equip individuals with the most relevant skills for industry needs.
Through project-based learning, you will develop a strong understanding of data science fundamentals and gain practical experience working on real-world industry sponsored problems to demonstrate your skills.
For more information, visit cambridgespark.com.
Cambridge Spark offers a 6-month, part-time data science course in London. The Applied Data Science course is aligned with the requirements and feedback from data science experts and leading organ...Read more
|Subjects||Data Science, Python, Machine Learning, Hadoop|
|Start Date||Rolling Dates|
|Commitment||hours in class/wk|
Before Bootcamp I had been working as Business Intelligence Analyst for four years. At the beginning of my career I was impressed by BI tools which allow you to build the dashboard so easily - you just need to drag and drop and you have a beautiful summary of your data in few minutes. After a while, I just realised that really often I am frustrated because I was not allowed to put the legend on the bottom of the graph because the BI tool I used have only two options - top and left. I decided to learn how to code to create the visualisation the way I want. I started few online courses but unfortunately, it wasn't enough. Really often I got stuck with the code or with the concept.
During Data Science Festival, I heard about Cambridge Spark. I checked their website and I found informa...
I did the Applied Data Science Course with Cambridge Spark from September 2017 to April 2018. I was part of the first cohort to do the training and far from feeling like a guinea pig, I thought that the program was really mature, even though it was the first iteration. I think some of the modules have been switched around slightly since then to help with the flow of the material, which should make the course even better.
I thought the topics were relevant to data science jobs in general, although there are topics at the edges such as survival analysis (useful for roles in ecommerce) which weren't covered but then I thought were quite easy to learn with the Python I had learned on the course.
On of the best aspects for me were the networking drinks and dinners where we met with dat...Read more
I didn’t set out to become a fully fledged data scientist but I ended up being able to deliver an end to end data science project. I’m actually very proud of that. It took a lot of work on the sidelines to work on my coding skills and on some of the maths fundamentals but I managed to get this to a sufficient level to get by.
I decided to do the bootcamp for several reasons, including:
- I am managing the team that is developing the data science platform we will use and undertaking the data science.
- I didn’t attend the bootcamp to become an expert data scientist. I’m not at a place in my career where I would get value from dedicating the amount of time that would be required to practicing the art of data science to be proficient.
- The goal of attending the bootcamp was to le...
I came into the course not really knowing what to expect as this was my first ever bootcamp. Coming out of the course, I can safely say that the investment has paid off for me, since the course led me directly into my current data scientist job.
My background prior to the course was not technical, I was proficient in SQL and had had some experience in coding macros in Excel using VBA as well as some very limited experience in python and C++ (a small personal project per language).
On the course:
The tutors are as good as they get, with the added advantage of the fact that they have had industry experience with the likes of Google and Amazon. There is quite a lot of material to go through and it may seem daunting, especially at the beginning, but as long as you are prepared to c...
Before I attended the Cambridge Spark Applied Data Science bootcamp, I was working as a Data Analyst who was stuck in Excel, the only exciting part of the job was using Tableau. I decided to rebel against Excel by learning python and made a decision that I want to use this tool full-time.
Upon much research I found the most suitable job for me was that of a Data Scientist, because of the mix of programming, data analysis and math. I tried to do as many online courses as possible but nothing really stuck. I then decided to go down the bootcamp route, the only issue was they all required I quit my job as they were all full-time.
Then I discovered Cambridge Spark who offered a part-time course and after speaking with the founder Dr. Raoul, I took the plunge and signed up.
2 months af...
Having worked as a data analyst for 2 years, I was looking to up my game and get a job as a Data Scientist. As most people looking to get into Data Science, I spend a lot of time comparing different courses (degree/certificate/in-person v on-line). I decided to go for this course as it focused on learning by doing, still giving you the necessary theoretical background.
I haven't had any regrets, as 2 months after finishing the course I was offered a position as Data Scientist.
* Amazing people - Doing a course like this is not only about expanding your skillset, but also connecting you with great people who can help you in your further career.
* Content - Balanced well between theoretical necessity and business application.
* Graded assignments after every weekend - ...
Given the dept and the detailed level of the topics covered along the 6 months, the course should be renamed
EXPLAINED and APPLIED Data Science!!!
• Technical preparation of the tutors. No matter how deep you will be willing to dig into technical and/or non-technical details, they will be there to answer your questions and/or provide the required material.
• Hands-on classes and graded assignments. Both (personally) essential in order to strengthen the theory and the concepts learned during the classes.
• No domain specific. Workshops and tutorials are usually focusing on a specific subject (e.g. insurance). Working with Cambridge Spark instead was a completely different experience. No matter what your background is and what industry are you involved into... assignments, ...
The CambridgeSpark team is super smart, great at communicating the lessons in an easy to understand way (I've not got any data science or software development background, so this was essential to help my learning) and very approachable and friendly. Each tutor has a great deal of hands experience and are able to communicate how the skills your learning can play out in things you act on everyday.
I had no previous Python experience but by the end of Day 1 I was pulling my own data into Jupyter and processing it. I think that shows how practical, hands-on and well taught their courses are. I look forward to doing more advanced data science courses with the CambridgeSpark team in the future.
The information presented over the two day machine learning bootcamp was far more useful than the courses one usually sees online: the python modules you learn and tips you're taught are very applicable to use in industry. Also, the teachers are all very approachable, and will help you with any queries you might have. All in all a fun and informative experience :)
Took a data science course with cambridge spark about 6 months ago from now and I would highly recommend it to anyone. The environment is fantastic - you will be surrounded by people who are genuinely excited and interested by what they're doing. The support you get throughout (and after) the course is invaluable - you will work through challenging and engaging workshops, while also being introduced to data science packages which are industry standards (pandas for pre-processing, sci-kit learn for machine learning algorithms, numpy, seaborne and matplotlib for visualization). In fact I was so impressed and interested by the presented material that as soon as I got home on the last day of the weekend course I proceeded to apply the exact same methodology to a kaggle data...Read more
A Data Science bootcamp is difficult to get right especially for an ever-evolving multi-disciplinary field. Unlike academic courses which can be deeply theoretical, CambridgeSpark seem to have pitched their course content just right with the aim of providing highly relevant material for the needs of the current job market whilst simplifying key concepts making it accessible to those from a non-Data Science background such as myself. Coupling this with their well-chosen hands on class activities followed by the independent project offers an unparalleled re-enforced learning experience.
Soon after attending the introductory bootcamp I found myself booking another 3 of their follow-up courses because I was highly impressed by the delivery. The instructors (mostly Oxbridge PhD grads) imp...Read more