Become a Data Analyst in 8 weeks

  • 8 weeks
  • Full time

Enroll in our Data Analysis Intensive Course and acquire the knowledge necessary to join any company’s technology team as a Data Analyst.

Become a Data Analyst in 8 weeks

  • 8 weeks
  • Full time

Enroll in our Data Analysis Intensive Course and acquire the knowledge necessary to join any company’s technology team as a Data Analyst.

Employability Rate

Number of editions

Average Starting Salary

Average Time to Find a Job

Our students work in companies such as:

Meet our students

Different backgrounds, but one mission: Learn to code.
See how our Bootcamps changed their lives.

From: Marketing Analyst

To: Data Analytics Engineer

“Exactly the push I needed to get the job I wanted. The teachers are very approachable and knowledgeable, they really care about your progress”.

From: Entrepreneur

To: Data Sciencist

“I was always interested in the data, but I lacked the guidance. It was a total immersion, and that personalised accompaniment was crucial in giving my career the turnaround I was looking for”.

From: Marketing Intern

To: Data Sciencist

“The practical methodology was key, but the constant support from the mentors really pushed me to master the tools and launch myself into my ideal career.”

From: Marketing Analyst

To: Data Analytics Engineer

“Exactly the push I needed to get the job I wanted. The teachers are very approachable and knowledgeable, they really care about your progress”.

From: Entrepreneur

To: Data Sciencist

“I was always interested in the data, but I lacked the guidance. It was a total immersion, and that personalised accompaniment was crucial in giving my career the turnaround I was looking for”.

From: Marketing Intern

To: Data Sciencist

“The practical methodology was key, but the constant support from the mentors really pushed me to master the tools and launch myself into my ideal career.”

Intensive Data Analysis Course

Learn to program in Python from scratch.
We believe in hands-on learning, so during your training, you’ll carry out real-world projects in Jupyter Notebooks and learn how to perform A/B testing.


You’ll primarily work with the following libraries:

  • Pandas, Numpy, Matplotlib, Poltly y Seaborn

Topics include:

  • Introduction to Python and data cleaning.
  • Exploratory data analysis.
  • A/B Testing.
  • Interact with APIs and web scraping.

Learn to program in SQL.
SQL is the most popular language for database management and, therefore, an essential part of the technology industry.

Topics include:

  • Introduction to data management and cleansing.
  • Exploratory data analysis.
  • Introduction to Jinja Templating.
  • Query optimization.

Tools you will learn:

  • BigQuery, Snowflake, dbt.

Statistics
Descriptive statistics and probability theory are the foundation of data analysis. We’ve developed several methods to help you strengthen your statistical knowledge while practicing SQL and Python.

Topics include:

  • Correlations and distributions.
  • Working with confidence intervals.
  • Apply: Probability functions, Cumulative distribution functions, Probability density functions, Linear least squares.

Machine learning
Take a deep dive into machine learning projects by creating, training, and evaluating models yourself with the Scikit-Learn library.

Topics include:

  • Introduction to prediction models.
  • Types of prediction models.
  • Supervised and unsupervised learning.
  • Regression.
  • Ensemble methods.
  • Hyperparameter tuning and optimization.
  • Validation.

Learn a wide variety of tools
Learn how to work with unstructured data and represent it visually to ensure effective decision-making using industry-leading BI tools like Tableau and Looker.


Learn how to use the terminal and GitHub for version control and project management.
You’ll receive an introduction to DBT so you can intelligently structure your SQL queries. You’ll also learn about a cutting-edge orchestration tool called Apache Airflow.

Customized Career Planning
We offer our own career coaching methodology and personalized professional support.

Application preparation and support

  • Cover letter and CV tailored to the industry
  • Networks
  • The good application process

Interview Preparation

  • Getting to know you and questions about skills
  • Preparation of technical evaluation
  • Negotiation of offer

Admission process

STEP 1

Send us a message

Candidates wishing to enroll in any of the courses must submit the form with their contact information.

STEP 2

We will contact you

Our admissions team will contact you to answer your questions and ensure our courses meet your needs.

STEP 3

Evaluation (20 minutes)

In some cases, the candidate will be invited to complete a short technical test to verify that their profile is appropriate for the course.

STEP 4

Admission

We will contact you to inform you about the status of your application and the next steps.

Financing options:

Financing for up to 48 months with exclusive interest rates for studies.

With WiZink, you don’t pay for your course until you have a minimum recurring income.

Oney offers financing and payment solutions tailored to every situation.

Get simple online financing solutions for your studies through Santander.

Financing for up to 48 months with exclusive interest rates for studies.

With WiZink, you don’t pay for your course until you have a minimum recurring income.

Oney offers financing and payment solutions tailored to every situation.

Get simple online financing solutions for your studies through Santander.

Hire our talent

Many companies already trust us. If you’re looking for qualified candidates, let us know.

Meet the teachers

Our instructors not only master the theory, but also apply what they teach in tech companies, consulting firms, and startups.
You’ll learn from those who are already where you want to be.

Ignacio Gómez
Lead Analyst en Conjura
Francisco Casanueva
Data Scientist en Facebook
Pablo Arribas
Product Manager en Schroders Capital
Manuel Marco
Operations Data Manager en Currencycloud
Javier Fernández
Product Analyst en Exodus
Jaime Badiola
Data Scientist Manager en WeDiscover
Alejandro Chamorro
Data Analyst en WeDiscover
Braulio de la Calle
Data Analyst en Sainsbury’s
Javier Díez
Analytics Engineer en Plum Guide
Ignacio Gómez
Lead Analyst en Conjura
Francisco Casanueva
Data Scientist en Facebook
Pablo Arribas
Product Manager en Schroders Capital
Manuel Marco
Operations Data Manager en Currencycloud
Javier Fernández
Product Analyst en Exodus
Jaime Badiola
Data Scientist Manager en WeDiscover
Alejandro Chamorro
Data Analyst en WeDiscover
Braulio de la Calle
Data Analyst en Sainsbury’s
Javier Díez
Analytics Engineer en Plum Guide