Data Analyst & Big Data – Barcelona
Analyze real data sets to help businesses make strategic decisions. 800hs, full time in Barcelona
Analyze real data sets to help businesses make strategic decisions. 800hs, full time in Barcelona
No more boring lectures. You will learn by practicing on real projects from 9-18h.
We help you navigate the jobs market
You pay half up front and half when you find a job!
*Read on for details
In 800 hours (5 months), we take beginners with zero experience and turn them into data analysts. There is no pre-course work, which means everyone starts in the same position. This is a full-time, onsite immersive course.
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.
Barcelona Admissions Team
Email Us: email@example.com
Visit Us: Luxa C/Tánger-Badajoz, 08018 Barcelona
Meet Us: Schedule a Video Call
– 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
*Cohorts starting every 1-2 months
The full cost of the tuition is 7.900€
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 3.750 €.
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 7.110 €.
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 host guest speakers and networking events at top tech companies in Barcelona. 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.
Grab a cup of coffee and start the day with your course mates by going over what you did the previous day, what you got stuck on, and how you found a solution. Encourage and motivate each other for the day ahead!
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.
Students can bring their own food and use our facilities to warm it up, but there are also great restaurants nearby!
Students share their ideas and work together in pairs, just as they would in a real work situation. Mentors are always nearby to help.
Check out ubiqum.com/calendar for what’s up in Barcelona for the most relevant events and talks. This time also may be used for a professional talk from our career councillors.
Students will be “working” for Blackwell Electronics as data analysts using the open source WEKA 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, explaining strengths and weaknesses of the approaches that were implemented and making suggestions for further improvement.
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 to code 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?
Looking to make a transition into a technical career? Our Data Analytics program is designed to help you acquire the right set of skills to land an entry-level Data Analyst job.
This course is the perfect choice for those looking to complement their existing skill set and move into a more technically focused role such as a product analyst, growth hacker, or data scientist.
Just graduated from high school or college? This course will provide you with fundamental skills to launch a career as a Data Analyst for any company or start your own business.
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. All our instructors are active and experienced in the field.
Joan Manuel studied Telecommunications Engineering at Universitat Politècnica de Catalunya (2005) and he also holds a Postgraduate in Intelligent Transportation Systems at Universitat Politècnica de Catalunya (2014). After developing his professional career in the field of management software applications, he decided to look for new challenges and focus his career on data analytics.
Violeta studied Environmental Policy in NY while working on community development projects. She then moved to Mexico to work for a public water policy program led by the World Bank. She has three years experience working for a Film Festival start-upemploying project management skills and helping design a business-model while actively learning about the business behind the Film Industry. Most recently, she undertook the role of Data Analyst to complement her skills and be able to provide actionable business insights through data.
Karen is a Bachelor in Mathematics from Sergio Arboleda University (2011), she also has a Master’s Degree in Statistics and Operational Research from the University Politècnica de Catalunya – UPC (2013) and soon she will obtain a PhD in Economics from Universitat Rovira i Virgili – URV. She has attended many seminars and conferences at an international level.
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.