Become a
 Data Scientist

Build a rewarding career in a rapidly growing industry full of opportunity with a course designed with your needs in mind.

Shaping the futures of women in technology ✊

Download Syllabus

What our students say

What you'll get

Our alumna work at

“allWomen has had a profound impact on my personal journey transitioning into tech by giving me a vibrant and exciting space to learn and by exposing me to terrific women leaders working in AI. The quality of teaching was outstanding and based on hands-on business, real-life problems.”

Giovanna Jaramillo

allWomen Data Science graduate
Epistemologist & Data Scientist


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Doctor Trueta, 114
08005. Barcelona. SPAIN.


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Inés Cordón, Testimonial Data Science Immersive Course

In Data Science with expertise in Data Analysis, Machine Learning and NLP.
Professional Industry Portfolio.

Career Development
1:1 Mentoring.
Job Strategy.
Hiring Fair.

10 weeks full time.

Monday to Friday.
9.00 to 18.00 CET.

Flexible Learning Environment: remote, on campus, or a combination of both. 

Blanca Cros

allWomen Data Science graduate
Digital MKT Specialist & Data Analyst

Our goal is to help more women either take the leap into the technology sector or continue developing a meaningful career in this industry.

Our students come to our data science courses from many different fields and backgrounds

About our instructors

Learn from a team of female tech leaders to build meaningful professional relationships.

Idoia Martí Aluja

Data Science Lead Instructor at allWomen
Data Scientist & Analyst. PhD in Chemometrics


Our instructors work for Typeform, Adevinta and Everis, among others.

Flexible Learning Environment

Tools We Love

Slack, Hangouts Meet, 
Notion, Miro 
and recorded classes.

Methods We Use

Live sessions, stand-up meetings, and weekly retrospectives. 

How We Work

Study with us 100% online, at our campus in Barcelona, or a combination of both!

Flexible Financing Options

Full Tuition


One-time payment


*Save 500€ when paid in full

Early Registration


*Save 1000€ when paid in full

We have multiple financing options to give more women the resources they need to build a career in tech. Take a moment to get to know all of them by downloading our guide to financing our courses.

Then, book a call with our Admissions Team so that we can help you find yours!

Pay in installments

We have several options. 

Ask us for more information. 

Income Share 

Pay once you land a job.
Ask us for more information. 

Referral Program

Bring a friend and both of 
you will get an additional 
300€ discount.

Download the syllabus to learn more about the skills you will acquire 
studying Data Science with us.

Want to take a deeper dive?

Download Syllabus

Next edition starts: 
Oct 4th 2021

Download Syllabus

Why become a Data Scientist?

Stay in high demand

Take advantage of a rapidly growing sector that has new job opportunities opening up every single day. 

Know your worth

Feel valued for your hard work and time by earning a competitive salary in an industry full of possibilities.

Love your work

Land a job that encourages you to stay endlessly curious so that you can finish off each day feeling fulfilled.  

What you'll learn

“I did the Data Science Program with no technical background, it has been a truly challenging, amazing experience. The content, the labs and the community of women in technology that allWomen is creating is fantastic! I recommend it to all my friends.”

Basics of python and descriptive statistics.

Analyze and explore the data
Data mining and exploratory data analysis. 

Statistics and probability
Storytelling with descriptive statistics. 

Machine learning: Unsupervised
Unsupervised Machine Learning algorithms.

Become a Data Scientist in record time

Learn with us

Career Coaching

Get the support you need to connect with companies across the tech sector. 

Industry portfolio

Build an industry standard portfolio worthy of landing you a job in tech. 


Learn on your own terms with adaptable material and a flexible learning environment.

Connective culture

Badass women, cool companies, a supportive community, and weekly talks. 

Elite Instructors

Our classes are led by top female experts in their fields from all over the world. 


We work to give women of all financial backgrounds an equal opportunity.

Machine learning: Regression
Supervised Machine Learning algorithms I.

Machine learning: Classification
Supervised Machine Learning algorithms II.

Natural Language Processing
Tokenization, sentiment analysis and topic modeling.

Final Project
Design and deliver a data science project with real data.

Shaping the futures of women in technology.

Apply Now!