Bootcamp Data Analytics and Machine Learning

Learn Python, R and SQL as well as the main Machine Learning algorithms. You will learn how to create large data models to solve complex business problems.

Data Analytics bootcamp Description:

Unleash your potential in a 480-hour program designed for hands-on learning with the continuos help of your personal mentor. Through three projects, master Python, R, and SQL programming. Learn to handle complex data structures and utilise advanced Machine Learning algortithms and techniques. Gain the skills to thrive in the field of data analysis confidently.

This course is tailored for individuals possessing technical and business expertise, empowering them with a comprehensive skill set ideal for immediate application in their existing roles or to embark on a career as a Data Analyst.


Course content

At Ubiqum, our comprehensive training in Data Analytics and Machine Learning equips you with practical skills. Our course, structured around three projects, ensures you acquire the necessary expertise and hands-on experience essential for launching your career in this field.

Data Analytics with Python

In the first project, the student works as a data analyst for a distribution company. Their mission is to use data mining and machine learning techniques to investigate patterns in sales data and provide insights into customer buying trends and preferences. All this is executed using Python and SQL libraries for data extraction and manipulation.

In this first module the student gets a first complete experience of a data analysis process. From the formulation of the business problem, the preparation of the data set, the creation of a model using a machine learning algorithm, to the presentation of recommendations to the business.

We work

Data Science with Python

In this second module the student has a different mission.

Your job as a Data Scientist will be to identify which customer attributes are significantly related to non-payment situations. He is asked to build a predictive model that can be used to better classify customers compared to previously implemented models. Regression methods are used. Your work should be submitted as a Jupyter Notebook (Python tool) to your GitHub account.

Cursos de Programación con mentores

Recommendation Systems and Market Basket Analysis with "R".

The student works with a new challenge. Your goal is to extend the application of data mining methods to develop predictive models and you will use R to achieve this. In this course you will use machine learning methods to predict which brand of computer products customers prefer based on demographic data collected in a marketing survey. The ultimate goal is to be able to determine product associations that will be used to drive sales. The student will design and implement a recommendation system similar to those used by Amazon and other e-commerce companies.

We work

What am I going to learn?

Choose the modality that suits you best.

Our course methodology and organization empower you to flexibly combine these elements according to your schedule. You have the flexibility to adapt, allowing for changes during the course to accommodate any shifts in your personal situation.

Start the course at your convenience.

At your own pace.

Full time

With a dedication of eight hours a day from Monday to Friday. Our project-based learning by doing methodology allows you flexibility in the hours of dedication throughout the day. Organise your time at your convenience as long as you respect deadlines and personal meetings with your mentor. You are never alone. Your mentor is available for any queries apart from scheduled one-to-one meetings.


Designed for those who want to keep their current job while preparing to change or improve their professional position. An estimated three hours of daily dedication, Monday to Friday, to work on the tasks of the course, with total flexibility of schedules, except for the personal meetings with the mentor that have a fixed calendar. You are never alone, your mentor is available whenever you need him/her, apart from the planned one-to-one meetings.

Wherever you want


Working online from home and connected to your mentor by slack, email and video conferencing. Ideal for part-time people who have to combine their professional life with the course. And for those who live in areas of the territory where there is no possibility of going to a physical campus.

On campus

For those who live in the city and want to have a face-to-face experience, we offer the possibility of coming to our Barcelona campus where you will have a work space and face to face collaboration with your mentor and classmates.

Choose the combination that best suits your needs. Consult our career advisors if you have any questions.

The Ubiqum experience

The Data Analytics and Machine Learning Bootcamp is organised on a project basis. The projects are  designed by our product team, for educational purposes. They are 100% practical and professional. Learning by doing at its full development.

A course at Ubiqum

Our methodology is innovative and highly efficient.
All our students are testimonials to the high level of learning they have acquired at Ubiqum.
Contact them and ask them

We offer you 2 weeks of FREE TRIAL.

Does it sound good to you? Is this what you’re looking for to accelerate or transform your career? We’re not asking you to take a leap of faith. We’re offering you a two-week FREE TRIAL to give you first-hand experience before you commit to formal registration and payment for the course.

Since 2016 more than 1,100 students have found employment in leading companies.

How to achieve a successful career transition?

“Boosting My Career” is the job landing programme, included in the course, with which we help our students to start their new digital career. Ubiqum’s courses provide deep and lasting learning that we complement with the activities needed to access your new job.

Our work is not done until you start yours.





With a Personalised mentor
 and Flexible timetable
480 hours of effective work.

On campus


With a Personalised mentor
 and Flexible timetable
480 hours of effective work.


Cash payment

If you pay in full before the course starts, we offer you a discount and you get the best price. 5% for online and 10% for on-campus.


You pay 50% before the course starts and the rest in monthly instalments during the course. No additional cost.

Payment in instalments

This format allows you to pay in monthly instalments.

Income Share Agreement

You pay when you atrst your new job (*) see requirements to qualify.

*Requirements: | Between 22 and 35 years of age | Higher Education Degree (STEM is valued) | A good level of English | Stable residence in Spain | Work permit for the EU |

learn more about the data analytics bootcamp