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Data Science Remote Part Time

In 24 weeks, learn python, data analysis, machine learning and NLP.

Overview

Curious about the field of Data Science?

Data is everywhere, and we are part of the digital transformation of it. But this digital transformation can only deliver its full potential when we harness the power of the data that these innovations release.

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

Course Computer Icon

300 hours course

Course Calendar

24 weeks part-time

Course Books

100% hands-on experience

Course Pencil

Flexible Learning Environment

Course Graphics

Career Development

Course Hands

Women-only environment

Course Computer Icon

300 hours course

Course Calendar

24 weeks part-time

Course Books

100% hands-on experience

Course Pencil

Flexible Learning Environment

Course Graphics

Career Development

Course Hands

Women-only environment

Flexible Learning Environment

We offer a Flexible Learning Environment

Our Flexible Learning Environment is adaptable to your best way of working, giving you the opportunity to choose to be on campus or learn remotely based on your schedule and location.

Remote Learning makes more sense than ever with the number of global tech companies that very often work with delocalized teams in order to access the best talent. Learning remotely is a very valuable experience and good practice for the new remote status quo, which is why we give you the option to study with us this way.

We use a mix of agile methodologies and remote tools. Download the syllabus to learn more about our approach.

Who is this for

Looking to shift or boost your career?

This course is suitable for you if you are a:

Career shifter: Women without a STEM background who are driven and passionate about the tech industry and want to take a step into the Data Science sector.

Career Booster: Women who are established in their professional career and want to take it to the next level by adding Data Science understanding and Data design to their resume

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

PHD profiles: Women who work or have worked in academia and wish to jump to the corporate sector by 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 Data Science.

Skill Building

Hard and Soft Skills of a Data Scientist that you will develop in this course:

Hard Skills you will develop:

  • Statistics and programing in Python
  • Usage of the scientific method
  • Data science foundation
  • Data Preparation
  • Model building
  • Model deployment
  • Big Data foundation
  • The key steps in transforming data into answers

Soft Skills you will develop:

Creativity

Skepticism

05 Teamwork

Collaboration

04 Public Speaking

Public Speaking

Course Structure

Learn Data Science in record time

Pre-work - 30 hours:

Learn the basics
of Python

Descriptive
statistics

Development of an
independent analysis

Remote Learning Course - 300 hours:

Units 1 – 3Programing with Python I, Exploratory Data Analysis
Units 4 – 6Programing with Python II,  Statistics & Probability
Units 7 – 9Supervised Machine Learning algorithms I
Units 10 – 12Supervised Machine Learning algorithms II
Units 13 – 15Unsupervised Machine Learning algorithms
Units 16 – 18Natural Language Processing
Units 19 – 24Build your final personal project

Download the syllabus for a comprehensive overview of our curriculum.

Lead Instructor

Learn from female industry experts

0 (14)

Idoia Martí Aluja
Lead Instructor
Data Scientist and Machine Learning Expert

Each course has 5 different instructors on average. They all have senior experience in different industry sectors and work at companies like Typeform, Everis, & Adevinta, among others. Our goal is that you benefit from their diverse experience.

A Typical Week

We’re about learning by doing

70% practical, 30% theory. Each module covers a different aspect of Data Science, concluding in a project presentation of the learnings at the end of the course.

This is what a typical week looks like:

Tue & Thu* from 6:30pm to 9:30pm

6:30pm - 6:45pm

Review previous class concepts

6:45pm - 7:45pm

Lecture

7:45pm - 8pm

Break

8pm - 9:30pm

Hands-on practice! Now, it’s your turn!

Saturdays from 9am to 3pm

9am - 11:00am

Labs (every 3 Saturdays)

11am - 11:30am

Break

11:30am - 2:30pm

Project Work + Individual Mentoring

2:30pm - 3pm

Module Restrospective

* We also run a second schedule on Monday, Wednesday and Saturday.

Career Development

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

Our goal is to bring more women into the tech field; that’s why we are committed to the careers of our graduates.

During the course, you will attend a workshop dedicated to career opportunities within the Data Science field and, at the end of your journey, you will have an individual mentorship session with our Data Science oriented career expert.

You will also present your final project at a Demo Day and will have access to the Hiring Day organized every quarter.

Demo & Hiring Day

Career Assessment
in a group and individually

Networking
Opportunities

See our Career Development plan here.

Dates & Schedule

Adaptive scheduling to fit your needs

Part-time courses that enable students to balance other responsibilities such as full-time jobs and families alongside class.

Study Data Science with us!

Sept 29 (2020) - Mar 30 (2021)

Tuesday & Thursday from 6:30pm to 9:30pm
Saturdays from 9am to 3pm CET

Jan 18 - Jun 2 (2021)

Monday & Wednesday from 6:30pm to 9:30pm
Saturdays from 9am to 3pm CET

Sept 27 (2021) - Apr 1 (2022)

Tuesday & Thursday from 6:30pm to 9:30pm
Saturdays from 9am to 3pm CET

Tuition & Financing

Full Tuition

7.450€

*Paid in installments
(see below)

Payment upfront

6.850€

*Paid upfront

Early inscription

-400€

*Paid upfront or in installments

Installment Plans & Sponsorships

Pay the full tuition in
3 installments

2.484€

per installment

* 0% interest, 0% commission

Pay the full tuition in
10 installments

685€

per installment

* 0% interest, 3.5% commission fee

Employer
Sponsorship

We can help you get financial support from your company with the help of our financial consultant. Ask us for more information!

Admission Process

Take the next step

Here are the steps for completing our admissions process:

1 - Submit the application form.

2 - You will receive an email from us to book a call with our admissions team.

3 - From there, we schedule a personal interview with you so that we can understand your background and expectations.

4 - Do the technical assessment.

5 - We will review your application.

6 - Congratulations! You’ve been accepted! Next comes the student onboarding process.

7 - Pay the tuition fee and enroll. Financial options are available, ask us for more information.

8 - Access the pre-work and prepare yourself for the course. Submit it before the start date of the course.

9 - Welcome to the first day of changing your life and to our campus!