Data Analytics & Machine Learning – Amsterdam
Accelerate your career with Data Analytics. Full time 5 month bootcamp.
Accelerate your career with Data Analytics. Full time 5 month bootcamp.
You will learn by practicing on real projects Mon-Fri, 9am - 5pm
We help you navigate the jobs market
You pay half up front and half when you find a job!
*Read on for details
This accelerated professional learning program is aimed at absolute beginners who want to enter the Data Science field as a professional. The Ubiqum methodology is unique in that there are no lectures and rather the student takes the central role in an immersive Learning by Doing program.
You will finish the intensive onsite course with 4 Real Projects completed as an Analyst, presentable to any future employer.
We are proud of our student outcomes, with 98% of our students finding work in their chosen field within 45 days of finishing the program. Check out Switch-Up for independent reviews.
Amsterdam Career Advisor: Gianluca Caria
Email Us: email@example.com
Call Us: +31 611 318 998
Meet Us: Schedule a video call
Visit Us: B. Amsterdam John M Keynesplein 12-46, 1066 VH Amsterdam
– 8 hours / day, 5 months (800 hours)
– Max 12 students per class
– Career support
– Designed and maintained by Computer Science experts from Northwestern University and has been taught in the University Carnegie Mellon, USA.
17 September 2018
15 October 2018
12 November 2018
The full cost of the tuition is 9.900 €
This payment option awards the candidate with a 5% discount off the overall tuition fees. Candidates entitled to this discount must meet the requirements found here. The upfront price will then be 4.750 €.
An upfront payment of the entire tuition fees. This payment option will award the candidate with a 10% discount off the overall tuition fees, taking the price down to 9.000 €.
We are committed to giving everyone the opportunity to change their careers and get into technology. For this reason, we encourage anyone who does not see the above payment options as feasible to contact us to discuss our special conditions payment plans:
100% Learning by Doing
Our curriculum is based on simulated work projects. You will complete the program with a portfolio of work that you completed from beginning to finish.
Guidance from mentor
Your learning journey will be supported all the way with industry experienced mentors.
We organise workshops and talks in Berlin. Join our Meet Up group below to see what’s up next!
Not only do we want to teach you coding skills, but we also want to see you succeed professionally. Through one-on-one support, we’ll help you perfect your CV and maximize your network.
By the end of this course you’ll be able to use a range of data analysis tools to help any company make better business decisions. You will bring valuable skills to your new workplace, such as interpreting significant patterns, applying data mining to business and engineering tasks, and making predictions based on data sets.
Plan and Recap
We start each day at 9am sharp with a stand-up meeting led by the course Mentor. The mentor acts like a project manager and will spend 30 mins discussing with you the tasks ahead, the common pitfalls and organise with you personal 1:1 sessions.
Through our online platform, students get a clearly-structured brief, plan of attack, and list of resources to assist them as they begin the work. You’ll be totally self-sufficient in your ability to progress through the program. You will have the mentor’s support at all times.
Students share their ideas and work together in groups, just as they would in a real work situation. Students are coming from many different technical backgrounds and will provide new insights for you.
Finish at 5pm
At Ubiqum you will have 800hours effective learning. There’s no need to burn out in the first week. Use the evenings to network, go to Meet-Ups and “live” the Data Scientist life.
Students will be “working” for Blackwell Electronics as data analysts using the Rapid Miner machine learning package. The student’s job is to use data mining and machine-learning techniques to investigate patterns in Blackwell’s sales data and provide insight into customer buying trends and preferences.
You will learn the algorithmic and organizational skills required to scale data analysis to large server farms, computing clouds, and the web, including an understanding of the design and implementation differences between single-computer and cloud-scale programs, analytics, and data processing.
Students will learn to use the R statistical programming language to perform visualizations, then to generate descriptive statistics and predictive models using time series regression techniques and statistical classifiers. Finally, students will present the results to the start-up’s management and get feedback from Industry Experts outside Ubiqum.
Admission to this course is highly competitive and rolling. It is important to apply as early as possible. The application process takes three steps.
Send us your contact details. We’ll reach out to talk more about your profile and motivation for programming.
Based on your fit for the Ubiqum program, we’ll invite you to an on campus visit to learn more about us.
After a successful meeting with us, register for the course and get ready to become a Data Scientist.
There are three qualities we look for in potential students: culture, passion, and aptitude.
The most successful students at Ubiqum learn best when they throw themselves into the material. We are looking for people that are passionate about solving problems.
Our students come from a wide range of coding experiences and backgrounds, which contributes to a richly creative and collaborative environment.
Learning Data Analytics as a profession is difficult, but not impossible. You will need to bring a determination, resilience, and a positive attitude with you every day in order to succeed. By graduation, you will leave proud of the skills you have earned through your hard work.
Our course is flexible according to student profile. So, who is this program for?
Through our Story Centered Curriculum, you will be able to make the professional jump into a new career through a highly structured, real life approach to working as an Analyst.
At Ubiqum you'll get the opportunity to develop new technical and analytical skills. You will use Data Analyst tools that can be replicated in your own industry seamlessly.
Unlike University, this is a practical course where you will deliver projects on a monthly basis. Expect to have a full portfolio ready by the end of the course.
Below you can view some examples made by our own students during this course.
Students can expect a lot of career support from us. So far, they have started careers at companies like Hewlett-Packard, Immfly, Netquest, Netcentric and more.
Learn about the people behind our courses.
Ignacio has a Degree in Physics from the University of Barcelona in 2002,
he is Doctor in Computational Chemistry from the University of Barcelona
in 2009. Has done Postdoctoral internships in Barcelona (University of Barcelona), Madrid (C.S.I.C, Insituto de Química Médica), Baltimore (MD, Maryland School of Pharmacy, Maryland USA) and finally Barcelona (Barcelona Supercomputing Center). He is passionate about Data Analytics and how Data can change the world around us.
Dani is passionate entrepreneur and Data Analyst. His current focus is on Data Analysis within e-Commerce. Bringing over 10 years of teaching experience and business knowledge, Dani helps students in their personal development, communication tools, creativity and entrepreneurship. He’s also a semi-professional pianist.
After more than 15 years of experience as an educator, Ester believes that learning happens with motivation, hands-on experience, emotional impact, collaboration with others & reflection.
As engineer & professor, she has promoted innovation in education, designing project-based learning courses and mentoring in Story-Centered Curriculum in Ubiqum. She also promoted the transformation of engineering education. As a researcher, she investigated how to make computers learn (machine learning, data mining, data analytics). Personally, she is very committed to her own learning.
Her passion is to assist others to develop their full potential. As educator, mentor and coach, she assists people to get the goals they pursue in their personal and professional life. The key elements she works with others are: personal development, emotional intelligence, communication skills, creativity & entrepreneurship.
Below you will find the most common questions we get. If you have more doubts please contact us.
If you are already coming from a field that involves some statistics, you'll be fine. If not then you should consult our admissions team to evaluate your level. We're genuinely here to help so it's better to ask us before committing.
We need you 110% dedicated to the course, so unfortunately you won’t be able to work or juggle other responsibilities during the 20 weeks. Otherwise you might prefer our Distance Learning Part Time Option.