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Data Analytics Bootcamp

On-campus / Online classes live
24 semanas (300h.)
Lunes a jueves, 18:30 a 21:30h.
October, 2024

Limited Availability | Artificial Intelligence, Big Data & Machine Learning

More Info
Study Plan

Study Plan

Learn Data Analytics from scratch. Students will understand the logic of the Python programming language, use UNIX terminals and the most popular tools for data visualization. By the end of the program, they will have acquired the most widelyused skills and techniques in the world of data analytics.

1. Prework

The Prework phase introduces concepts that the course will analyze in greater depth, ensuring students feel grounded from day one and bringing the entire group to a common level. This not only ensures that the group can move forward together, but also helps create a collaborative environment among all members.

  1. Computer basics: Concepts including hardware and software, CPU, memory, storage devices, operating systems and networks.
  2. Introduction to programming languages: Explanation of what a programming language is, what it is used for, and the types of languages that exist (compiled and interpreted). An overview of the most commonly used languages today, and why they are used.
  3. Fundamental programming concepts: Discussion of variables, data types, operations, control flow structures (if/else, loops), and functions. How to break down a complex problem into smaller, more manageable subproblems. Issues are explained in a basic way to avoid overlapping with the Programming Fundamentals module (with Python).
  4. Development tools and best practices: Introduction to the use of an IDE, such as PyCharm or VSCode, as well as notebooks. Discussion about version control with Git. Underlining programming best practices, such as the importance of commenting code and following style conventions (Pythonic Code).
  5. Introduction to data structures: Overview of concepts such as arrays, lists, sets, dictionaries/maps and trees. The focus is not confined to a specific programming language, but also at pseudocode level. The aim is for students to understand what they are, what they are used for, and when it might be appropriate to use one data structure over another.
  6. Fundamental database concepts: Explanation of what a database is, what it is used for, and the various types that exist (e.g. relational and non-relational databases).
2. Fundamental Concepts of Programming

Students learn to program in Python, a popular and powerful programming language used in many contexts, such as creating web applications, analyzing data, creating artificial intelligence programs, and even controlling robots. It is an easy language to learn and has clear and simple syntax, making it is easy to read and write. Students learn the various fundamental concepts of Python, including control structures, lists, dictionaries or functions, so by the end of the module they will have the basic knowledge required to get through the rest of the bootcamp.

  • Introduction and basic features
  • Data types, variables and text manipulation
  • Tuples, lists, dictionaries and sets
  • Random
  • Flow control structure
  • Functions
  • Dates
  • Lambda
  • Regular expressions
  • Json
3. Artificial Intelligence (AI) Fundamental Concepts
  • Introduction to AI
  • Towards ML
  • Artificial neural networks
4. Data Manipulation and Processing
  • Introduction to data science
  • Data analysis and processing
  • Digital surgery
  • Data visualization
5. Data Visualization
  • Introduction to visualization
  • Tableau
  • Google Data Studio
  • Microsoft Power BI
  • Other tools
6. Machine Learning
  • Supervised systems
  • Non-supervised systems
  • Neural networks
7. Capstone Project
  • Definition of the idea with an assigned tutor
  • Selecting the project aim
  • Deciding methodologies and tools
  • Presentation before a jury of experts and colleagues
*The academic program may be subject to changes in line with the changing demand for specific skills in the market. Your employability is our goal.
Outstanding Mentors


Javier Monjas
Javier Monjas

Analytical Lead

Data Analytics Bootcamp Director

Ana Patricia Garcia
Ana Patricia Garcia

IT Internal Control Officer

Master’s in Data Science Director

Javier Castellar
Javier Castellar


Hernán Amiune
Hernán Amiune

Artificial Intelligence and Blockchain lecturer

Alberto Armijo
Alberto Armijo

Senior Data Engineer

*We are always on the lookout for the best professionals in the sector, so the team may vary from one edition of the course to another

Academic Information

Con el bootcamp en Data Analytics adquirirás en 24 semanas los conocimientos necesarios para dedicarte profesionalmente al análisis de datos, y desarrollarte como data scientist. Aprenderás Data Analytics desde cero.
Through a practical and immersive methodology, learn programming languages, such as Python, UNIX terminals and other tools for data visualization. Discover how to use supervised and unsupervised machine learning algorithms for decision making, and how to use artificial intelligence to analyze data, automate tasks and simplify workflows.

Program Aims
  • Python. Dominarás el lenguaje.
  • Programas estructuras que permitan visualizar los datos.
  • Utilizar el poder de los datos para la toma de decisiones con un enfoque en negocio.
  • Utilizar algoritmos de machine learning, supervisado y no supervisado - para la toma de decisiones
  • Utilizar inteligencia artificial para analizar datos, automatizar tareas y simplificar workflows.
Competencias profesionales del programa

Data Analyst, Data Journalist, Marketing Data Analytics, Psychological Research Analyst. El bootcamp te prepara para certificaciones oficiales internacionales como: Associate Certified Analytics Professional (aCAP), AWS Certified Data Analytics, Google Data Analytics Certificate o Certified Analytics Professional

Career Readiness

The comprehensive training we deliver to our students thoroughly prepares them for the employment market. Through a personalized syllabus, we help them develop professional skills, establish relationships with companies and sail through recruitment processes.

Learning By Doing Methodology

It focuses on the practical application of knowledge and skills to foster meaningful and lasting learning.

Una experiencia única

Utilizamos el storytelling para crear experiencias de aprendizaje memorables que conecten con las emociones de nuestros estudiantes.

The industry is on fire
+84% Improved Employment Status
+40 Monthly Job Offers
94,5% Employability
+4,7 Job Offers/Student

An innovative and vibrant Tech Hub

We are not conventional and our campus even less so.
Designed to replicate an ecosystem of startups and tech companies, we have created a Silicon Valley oasis in the heart of Madrid. Come and check it out.

Visit the Campus
Paseo de la Castellana, 89
Co-working spaces
Meeting rooms
Rest areas
Digital classrooms
Our students are working in

Students’ Projects

The Capstone Project is a practical end-of-course work that brings together all the student’s knowledge acquired in their chosen discipline. Take a look at some of the incredible projects our students have produced!

  • IKEA Basket Recommendation Tool

    Using data science to achieve greater knowledge of purchasing patterns and key factors, improve product offerings and promotions as well as increasing sales.

    Students developed a recommendation tool for combined furniture and food baskets and its integration into a parameterization and query app.

  • Bicimad Out-of-Stock Predictive Model

    Students developed a solution that consisted of a predictive model to prevent bicycles needing repairs at stations.

    They did this by applying all the steps of a data scientist: gathering data, exploratory analysis of the data on selected dates in several districts of the capital, testing and then choosing the model with the best results.


External Financing

Pay in installments, even if you are unemployed and cannot guarantee the loan.

Pay in installments, even if you are unemployed and cannot guarantee the loan.

ISA Bcas (Student Loans)
Only pay when you have found a job. Adapt the installments to suit your salary.
*Aimed at Spanish Nationals or official residents of Spain

Pay for your training through the Spanish Employment Training Foundation
*Aimed at active workers who wish to finance their program through the subsidized training program.


We are here to answer your questions!

What are the admission requirements?

It is not necessary to demonstrate any prior training for admission, only to go through the admission process consisting of an evaluation of your resume and a personal interview with our admissions team.

Will the tools I need be included in the price of the program?

The tools used throughout the program are licensed for free use, in some cases because we use educational licenses and in others because it is free software.

Is there a careers and employment guidance service?

We have an employability area which, through our Talent Hub program, is responsible for supporting the efforts of our students to enter the employment market. The services we offer include resources to help you search for and prepare for interviews, English tests, resume and/or Linkedin profile guidance, interview and elevator pitch training, and access to our exclusive internship and employment pool.

Do I need prior knowledge or experience?

No prior knowledge is required since all programs start from scratch. It is advisable however, to have user-level knowledge and a keenness for technology.

What are the requirements for my computer?

You will need to have access to a laptop with a camera, microphone and minimum requirements of 8 GB of RAM and an i5 processor.

What is the Capstone Project?

The final project is where everything you have learned throughout the program is applied and consolidated. You will present the project to a panel of professionals from companies in the sector, which represents a unique opportunity for students to demonstrate their knowledge to potential employers and also to network.

What certification or qualification will I receive on completion of the course?

Once you have finished and passed the program, you will receive a diploma issued by IMMUNE Technology Institute in digital format and verifiable using blockchain technology.

Are there grants or scholarships available?

Yes, there are scholarships or study grants as well as financing options depending on students’ circumstances. Check out our scholarship and financing options.

Can the course be delivered online?

Sí, puedes realizarlo tanto de forma presencial en nuestras instalaciones en el Paseo de la Castellana 89 (Madrid), como en remoto desde tu casa de forma síncrona. Con esta modalidad estarás en contacto directo y bajo supervisión de los profesores, lo que te permitirá seguir las clases e interactuar de forma ágil y natural.

Admissions Process

Our students are characterized by their passion for technology. Our admissions process focuses on who you are, how you think, what you have accomplished, and then sharing your goals.

Our aim is to get to know you better, see what makes you unique and ensure that the IMMUNE educational model adapts to your profile.

Personal Interview
Academic Committee

Paseo de la Castellana 89, 28046 Madrid
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