Data Science Immersive
full time course

Learn the fundamentals of data analysis and machine learning together with the key steps in transforming data into valuable answers.

Shaping the futures of women in technology ✊

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What our students say

Course Overview

Meet some of our Hiring Partners

“allWomen has had a profound impact in 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

Learning & Professional Objectives

Bump-up to the next level by adding data design and 
machine learning understanding to your resume in an efficient way.

Program

in Python from a Data Scientist 
point of view.

Usage

of the scientific method.

Transform

data into answers (data exploration, preprocessing, data cleaning and feature engineering).

Career Development

We want to provide you with the necessary support 
to boldly scale up
 the industry with confidence.

ABOUT US

© 2020 allWomen.tech. All rights reserved.

LOCATION

Ave Francesc Cambó, 17
08003. Barcelona. SPAIN.

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Hands-on

Data Mining.

Think

critically about data and draw conclusions based on your analysis.

Understand

Create

Work

Defend

data, data analysis, machine learning and the opportunities it offers.

a personal project using the tools and skills that you will be learning during the course.

your results, findings, and next-steps recommendations in front of an audience.

as an individual to accomplish your personal goals, and share your knowledge by working in a team.

Start your application today! 

Shaping the futures of women in technology.

Inés Cordón, Testimonial Data Science Immersive Course

Today's data revolution is not only driven by the vast and consistently growing amount of data; it is fueled by different technologies that are changing the way we collect, store, analyze, and transform this information. Together, these drivers allow us to gain a clear and powerful insight into the depth of data and thus extract new knowledge, discover new connections, and make new predictions

In just 10 weeks, you will have a solid foundation and knowledge of how to manage data and get the most out of it effectively. You will learn about programming, data mining, data analysis, predictive analysis, how to best use machine learning algorithms and create a human-centric Data solution as your personal project. 

Oct 5th to Dec 11th
-
Flexible Learning 
Environment

Monday to Friday
from 9.00 to 18.00
-
400 hours over 10 weeks

Demo Day & Hiring Day
Career Assessment

Blanca Cros

allWomen Data Science graduate
Digital MKT Specialist & Data Analyst

“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 friend.”

Download SyllabusApply Now

Demo Day & Hiring Day

Individual & Group 
Career 
Assessment

Female Industry Network

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

Our students come to data science
courses from all kinds of different fields

Grasp

an understanding of the most commonly used tools in the Industry. 

About our instructors

Learn from a team of tech female leaders and create meaningful professional relationships.

Idoia Martí Aluja

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

Linkedin

Each course has a team of 5 instructors on average. They all have senior experience in different industry sectors. We want you to benefit from their diverse experience. 

Our instructors work at Typeform, Adevinta or Everis, among others. 

Flexible Learning Environment

Attend the course on-campus or from your home, co-working, 
or even another city with classes streamed online! 

Tools

Slack, Hangouts Meet, 
Google Classroom, Miro 
and recorded classes.

Methodologies

Daily Stand Up Meetings, 
Daily Masterclasses, Group Q&A 
and 
Individual Mentorship.

International 

Students, Instructors 
and Hiring Companies.