Program description
Acquire the complex skills of a 21st-century business strategist by working through a series of realistic projects. In the Data Analytics & Machine Learning program, you will learn how to apply methods of data analytics to clean and prepare a data set, learn about data mining using R and Python, and learn and use the most common Machine Learning algorithms to model complex business problems. You will also build and deliver convincing presentations to recommend your ideas.
You will have a personal mentor
"During the Data Analytics 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 training them to think like a professional data analyst."
Request the syllabus
What You’ll Learn
Python, SQL & R
The Python, SQL and R programming languages are the most straightforward languages in use by data scientists and the best languages to learn to develop good data models. They remain essential for almost all jobs in data analysis and data science.
At Ubiqum, you will become fluent in both and will be prepared to work in teams from the two main schools of data science: those who prefer R and those who prefer Python.
Both R and Python have tools that will help you in the pre-processing phases of a project — cleansing and completing data — and they will provide the most commonly used Machine Learning algorithms in classification, regression, visualization and time series analysis. These tools are essential to reach the position of data analyst you aspire to.
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."
Fill in the form to receive the full syllabus
A Day in Ubiqum
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
Fees & Payment Options
We are flexible. You start when you decide.
We will assign you to a personal mentor who will guide and accompany you along all your learning process.
Fees
The full cost of the core course, on-campus, is €6.500
480 hours modules 1,2 and 3. You have some electives if you want to go further in your training. Request and check the syllabus.
FAQs
Our experience and data have shown:
– Completion rate above 90%
– Employment rate above 92% (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 commitment formula (Income Share Agreement) which allows those students who qualify to pay only once they’ve successfully secured employment.
Ubiqum uses an immersive project-based curriculum developed by experts in Learning and Cognitive 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 Data Science 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 one 15-minute personal session 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. You will learn how to work autonomously but you'll never feel lost.
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.