AllWomen

Data Science
Immersive

Learn python, data analysis, machine learning, NLP and AI in 10 weeks.
Next edition: Sept 28th - Dec 2nd 2020

Data Science immersive course. What are you getting into? 

This course is for women who want to have a greater impact on the career they wish to undertake. We will provide you with the basic skills you need to master in order to work in a data science and AI project. And you will put these concepts into practice by conducting an analysis that is 100% driven by your own interest. With this, we allow you to build a portfolio that best matches your ambitions & needs.

  • 10 weeks full-time I Monday to Friday
  • 400h in total 
  • 100% hands-on
  • Women-only environment
  • Career Development

This course trains you to apply for any of the following job tittles: 

  • Data Analyst
  • Data Scientist
  • Data Driven Product Manager
  • Business Intelligence Analyst

Suitable for you if you are a:

Career changer: For women without a STEM background who are driven and passionate about the tech industry and want to take a step into the artificial intelligence sector.

Career Booster: Women who are established in their professional career and want to jump to the next level by adding AI understanding and AI design to their resume.

Entrepreneur: Women who run their own venture or have an entrepreneurial mindset and want to develop an AI-based product or service.

PHD profiles: Women who work or have worked in academia and wish to jump to the corporate sector as well as acquiring the most updated technical skills.

Recent STEM graduate: Women who have studied STEM disciplines and want to take a deep dive into the world of artificial intelligence.

 

What skills does a data scientist need to be successful ?

In this course you will develop a set of technical and soft skills in order to succeed in your new career path. 

Technical skills you will develop:

  • Statistics and programming foundation
  • Scientific Methodology
  • Data science foundation
  • Data preparation
  • Model building
  • Model deployment
  • Big data foundation

Soft Skills you will develop: 

  • Leadership and professional development
  • Teamwork
  • Oral Communication
  • Time management
  • Skepticism
  • Creativity

 

Building knowledge Blocks


Remote / 50 Hours
 

We want you all to be on the same page from the first day of the program. To do this, we will give you access to a python and statistics courses, together with a dataset to work on your first Data Analytics project.

On Campus / 10 Weeks Full Time

Week 1
Programing with Python
Exploratory analysis: univariate & bivariate
Feature engineering

  • Week 2
    Project Design & the role of statistics.
  • Hypothesis testing
  • Credible intervals
    Telling a story with your KPIs in a dashboard.

Week 3
Machine Learning: regression methods
Optimization algorithms
Regularization

Week 4
Design Thinking – Use cases
Data Mining
Model fine-tuning
Machine Learning: classifiers

Week 5
Unsupervised learning: Use cases
Clustering & clustering optimization

Week 6
Natural Language Processing: Use cases
Traditional NLP vs Deep Learning NLP
Topic Modelling

Weeks 7 – 10
Project Design & Management tools
Scientific Methods
Delivery Results
How to deliver powerful presentations

Final Presentation at Demo Day
Career Assessment and Hiring Day

A day at AllWomen

Typical daily schedule:

9:00 – 9:30: Coffee & Review
9:30 – 10:30: Lecture 1
10:30 – 11:30: Pair Practicing
11:30 – 12:00: Break
12:00 – 13:00: Pair Practicing
13:00 – 14:00: Lunch
14:00 – 15:00: Lecture 2
15:00 – 16:00 Pair Practicing
16:00 – 16:30: Break
16:30 – 18:00: Pair Practicing

On Wednesdays
From 16:00 to 18:00: Labs with tech female experts 

On Fridays
 From 19:00 to 21:00: Open talks and events 

 

What is the admission process? 

1. Submit the application form
2. Let’s have a first intro call, will send you a link to schedule it once you have applied.
3. Send us your your CV.
4. Let’s have an interview in person.
5. Do a technical assessment and then will review it together.
6. Sign the contract and make the first payment to access the pre-work. 

You are all set, come learn, enjoy and succeed!

 

Meet your lead instructor and some of the Labs experts.

 



Idoia Martí Aluja

Data Science Lead Instructor
Scientist and Machine Learning Expert
Linkedin

 

Develop your career in Europe’s leading academy for women in tech

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.

To help make this leap, we mount a series of initiatives that will provide you with the necessary support to boldly enter the industry with confidence:

  • Demo Day & Hiring Day
  • Career Assessment
  • Female Industry Network
  • Hiring Fairs

Learn everything about the Career Development Plan in our specific section.

Find the best dates and financial plan for you


DATES
We run  3 editions per year:

  • February – April
  • April –  July 
  • September – November  

* Ask us for the exacts dates.

SCHEDULE
Monday to Friday from 9 am to 18 pm.

TUITION

  • Pay up to 5 installments: 6950€ (VAT included)
  • Pay upfront: 5950€ (VAT included)

FINANCIAL OPTIONS

We believe that finances should not be an obstacle to follow your dreams and study something that will change your career! 

That’s why we have partner with Banc Sabadell to whom we agreed great conditions for your split payments! Contact us for more info. >

All you need to know about our Data Science Course


Do I need a tech background to join the program?
 

No, in fact diverse backgrounds are an asset to the course. We all are experts in something!

Which jobs can I apply/get after the course? 

There will be many opportunities to get tech jobs such as Data Analyst, Business Intelligence, Data Scientist, AI & Data Consultant, Data Product Manager.

How does the admission process for AllWomen work?

– Submit the application form.
– Let’s have a five-minute chat on the phone.
– Let’s meet in person and have a personal interview.
– Send us your CV.
– Do a technical assignment.
– You’re in!
– Sign contract.
– Make first payment.
– Access the pre-work. 

How long is the pre-work and how do i do it? 

You need an average of 60 hours to complete the pre-work. 
This is an independent work you will do on your own and in remote. 
You will have access to our learning platform and will assist you all the way. 

Do I need to know how to code?

No!
Prior to the start of the course, you will be given a pre-work to start getting acquaintance with the basic python skills, statistics and its environment. And it will give the basic level for you to start and follow from the first day of the program.

Is it possible to learn Data & AI in this short period of time?

We have tailored a 10-week program that makes it possible for you to go from 0 to 100 on what is needed to start designing and developing new AI technologies. Of course, that will depend on how much energy and dedication you put into it. Throughout your whole learning experience we will offer all the guidance, support, materials and mentorship you might need to finish allWomen bootcamp successfully – the rest depends on you. By the end of bootcamp you’ll be ready to find a job in one of the most emerging branches of tech.

How many hours per week will I be working?

During the bootcamp you will be working from 9am to 6pm, minimum. The format and content of the bootcamp is structured in a way for the students to learn the most they can, so the more time you dedicate during your learning experience, the more you’ll be able to get out of it. Apart from that, some students invest time out of the classroom to go more in depth on what has been taught during the classes. We don’t recommend for the participants to keep side projects throughout the duration of the bootcamp.

Do you help me to find a job?

Yes, thats why we have our hiring partners. We also organize demo day and hiring day. We have careers assessment sessions and mentorship. 

For more information go to our FAQ section for more extended information, and if you don’t find your answer please get in touch with us at hello@allwomen.tech.