Machine Learning
part time course

Learn the fundamentals of machine learning together with the key steps in transforming data into answers by means of predictive modeling.

Shaping the futures of women in technology ✊

Download Syllabus

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

For scientific and/or technical backgrounds with a solid understanding of mathematics, statistics, probability and programing. 

Program

in Python from a Data Scientist point of view.

Usage

of the scientific method applied to Machine learning.

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.

SUBSCRIBE

Sign up to our newsletter 💌
Emails that you'll want to receive!

Apply Now

Hands-on

Machine Learning. 

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

Machine Learning is just the intelligence to find improvement data and automatic learning. In this course, the fundamentals of machine learning together with the key steps in transforming data into answers by means of predictive modeling will be addressed. 

You will also learn how to create machine learning pipelines to continuously improve the efficiency of a machine learning project. 

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 by means of machine learning modeling. Learning data analysis, machine learning tasks and pipelines. Create a human-centric Data solution as your personal project. 

Sept 21st to Nov 25th
100 hours over 10 weeks

-
Flexible Learning
Environment

Monday & Wednesday 
from 18:30 to 21:30
Saturday 

from 10.00 to 14.00

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 and Everis. 

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.