Acquire the skills to boost your career and predict tomorrow's trends in global business
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5 MONTHS FULL-TIME
9-5, MON-FRI
(800 HOURS)
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PROGRAM OVERVIEW
Acquire the complex skills of a 21st century business strategist by working through a series of realistic projects. You will learn how to apply methods of data analytics to predict buying trends for an online retailer, learn about data mining using R and Python, and develop advanced visualization techniques to make your data sets both intuitive and beautiful. You will also build and deliver convincing presentations to "sell" your ideas.
MEET DATA ANALYTICS MENTOR, DANI
"During the course we see how many students, at one point, begin to understand that what we teach them and everything we do at Ubiqum is aimed at learning to think like an analyst. It's not really about the specific skills but about learning to think like a Data Analyst."
Got a question?
Why R?
The R programming language is the most important language for data analytics, and the best language to learn in order to be a great data analyst. It remains essential for most jobs as a data analyst/scientist. It will also help you more quickly adopt Python should you choose to focus on that during your final month in the course.
THE SKILLS EMPLOYERS ARE LOOKING FOR
Aurore Paligot
“In just one week, I've learned how to apply machine learning techniques in RapidMiner and received great advice from my mentor about how to present my data in an effective way. I can't wait to see what's next!”
Carles Castillejo
"I found this task quite challenging because of the following:
- Data wrangling (loading and cleaning)
- Dataset dimensions
But I got there in the end!"
Pau Pardo
"In this project, I got an idea of how Amazon Web Services (AWS) can be utilised in order to work with a huge amount of data (Big Data)."
Juan Manuel
"I’m very interested in exploring how analysing data could help improve living conditions in cities, so I decided to look into how safe the streets of Barcelona are for pedestrians."
REQUEST THE COMPLETE SYLLABUS
A TYPICAL DAY IN THE LIFE OF AN UBIQUM DATA ANALYST MIGHT LOOK SOMETHING LIKE THIS:
The skills that you learn at Ubiqum are very relevant in the current job market.
Miquel Zelich
Business Analyst for MEDIAURBAN
Our team of mentors is made up of people who are passionate about data analytics. This isn’t simply a job for them, for many, coding has transformed their lives and they are keen to pass on what they know so you too can experience what they do. Receptacles of knowledge, they are here to guide you in your learning process.
A new Data Analytics program starts every month in our offices in Barcelona, Berlin and Amsterdam.
We don’t want financing to be an obstacle. Let’s discuss your options!
Our experience and data have shown:
– Completion rate of 98%
– Employment rate of 96% (within two months of completing the course with full-time competitive salaries).
– Student Satisfaction. You can read our students’ testimonials for a better idea of Ubiqum’s results. Everything we do is to help you start your professional life as a Data Analyst, Web Developer, or Mobile Developer. If you put in your best effort, we will do the rest.
We are confident in our methods and content, demonstrated in the fact that we offer an employment guarantee which allows students to pay only half their tuition at the beginning of the course and the rest only once they’ve successfully secured employment.
Ubiqum uses an immersive project-based curriculum develop by experts from Northwestern's Institute of Learning Sciences. Our learning methodology focuses 100% on “learn by doing”. You will work on projects similar to those you’ll find on the job and complete them using the same tools used by professionals currently in Developer positions. A mentor will be available at all times to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn from your experiences. This will fully prepare you to think like a coder.
"Mentors are full-time Ubiqum staff who are onsite every day. Typically, a student will have 1-2 15 minute personal sessions a day, and this is complemented by ""scrum"", the daily stand up, and group code reviews facilitated by the mentors. They also lead guided discussions, or ""spikes"", around shared topics, such as complex problems that multiple students are working on.
If you would like to speak to any of our mentors, they would be more than happy to discuss the course with you. Please speak with our Admissions Team to organise a video teleconference or visit."
Ready to discuss a potential future in Data Analytics? Our Career Advisors are here to help you plan your next steps
GIANLUCA
NADIA
SHMULIK
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