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, Hadoop, Machine Learning, Python|
|Start Date||Rolling Dates|
|Commitment||hours in class/wk|
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
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