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 ✊
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
ABOUT US
© 2020 allWomen.tech. All rights reserved.
LOCATION
Doctor Trueta, 114
08005. Barcelona. SPAIN.
SUBSCRIBE
Sign up to our newsletter 💌
Emails that you'll want to receive!
Start your application today!
Inés Cordón, Testimonial Data Science Immersive Course
Diploma
In Data Science with expertise in Data Analysis, Machine Learning and NLP.
Professional Industry Portfolio.
Career Development
1:1 Mentoring.
Job Strategy.
Hiring Fair.
Duration
10 weeks full time.
Schedule
Monday to Friday.
9.00 to 18.00 CET.
Format
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
6950€
One-time payment
6450€
*Save 500€ when paid in full
Early Registration
5950€
*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
Agreement
Pay once you land a job.
Ask us for more information.
Download the syllabus to learn more about the skills you will acquire
studying Data Science with us.
Want to take a deeper dive?
Next edition starts:
Oct 4th 2021
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.”
Pre-work
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.
Flexibility
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.
Inclusivity
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.