Data Analytics Remote

Take the summer to invest in your career and learn about Data Analytics

From June 29th to July 31st 2020

About this Data Analytics 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 this Data Analysis course, we will address the fundamentals of data analysis together with the key steps in transforming data into answers.

In just 5 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, and powerful visualization of data and create a human-centric Data solution as your personal project.

< 100 hours in Remote >

< 5 weeks part-time >

< Intensive schedule >

< 100% hands-on >

< Women-only-environment >

< Suitable for professional upskilling >

How do we approach Remote Learning?

Remote Learning makes more sense than ever as tech companies are global and very often teams are delocalized in order to have access to the best talent. Learning remotely is a very valuable experience and good practice for the new remote status quo.

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

Looking to boost your career in one of the most promising branches of tech?

This course is suitable for you if you are a:

Career Booster: Women who are established in their professional career and want add-on skills to bump-up to the next level by adding Data understanding and Data design to their resume in a more efficient way.

Suitable for: any women with a professional profile that deals with data, such as: business, marketing, logistics… This course will be an ideal complement to your work if you manage data and want to add a tech layer to your current job by being more efficient and robust.


Technical and Soft Skills of a Data Analytics savvy that you will develop in this course

Technical Skills:

  • Program in Python
  • Usage of the scientific method
  • Data Mining
  • The key steps in transforming data into answers
  • Think critically about data and draw conclusions based on your analysis

Soft Skills:

  • Leadership and Professional development
  • Teamwork and collaboration
  • Public Speaking and Oral Communication
  • Time Management
  • Skepticism
  • Creativity

Learn the fundamentals of Machine Learning

Pre-work. 10 hours of work preparation

  • Python basics,
  • Python data types,
  • Basic data visualization with Python

Remote Learning Course – 100 hours


Unit 1 – Program in Python
Unit 2 – Learn statistics and probability + Project
Unit 3 & 4 – Meet, analyse and explore the data + Project
Unit 5 – Find patterns in your data by using Machine Learning + Project
Unit 6 – Career Assessment + Final Presentation (Demo Day)

Our students develop a project during the course, as a part of their portfolio. Please, download the syllabus for full understanding of the course content.

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

Our mission 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 field and, at the end, you will have an individual mentorship session with our Data oriented career expert.

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

  • Hiring & Demo Day
  • Career Assessment – In group and individual. 
  • Networking Opportunities

See Career Development plan in our specific web section.

Learn from female industry experts

Idioia Martí i Aluja
Lead instructor
Machine Learning Expert

Each course has 3 different 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, Everis, Adevinta, etc.

We are all about learning by doing

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

This is what a typical week looks like: 

Monday – Thursday  (16:00 – 20:00)*

  • 16.00 – 16.30 Refresh of the concepts from the previous class
  • 16.30 – 17.30 Lecture 
  • 17.30 – 17.45 Break
  • 17:45 – 20:00 Hands-on practice! Your turn

Friday (16:00 – 20:00)

  • 16.00 – 16.30 Stand-up meeting
  • 16.30 – 20.00 Project Work + Individual Mentoring

*Please note we also have a Morning Schedule available from 10.00 to 14.00. Get all the details in the section “dates & tuition fee”. 

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 manager. 
  3. Attend a personal interview with us. 
  4. Pay the tuition fee and sign the contract. Financial options are available, ask us for more information.
  5. Access the pre-work and prepare yourself for the course. Submit it before the starting date of class. 
  6. If you are still not sure, come to one of our on campus or online informative sessions. You can access the calendar here

We are all ears, let us know about your needs.

Dates & Schedule

From June 29th to July 31st

  • From Monday to Friday
  • AM Schedule: from 10.00 to 14.00 CET
  • PM Schedule: from 16.00 to 20.00 CET

If you would prefer a different schedule, please let us know, since we try to accommodate different schedule preferences. 

Tuition Fee and Payment Conditions

  • Full price: 2950€ (VAT included) – Pay in 3 installments
  • Payment upfront: 2450€ (VAT included)
  • Early Inscription: 2250€ (VAT included)

Financial options

We have an agreement with an Spanish bank (Banc Sabadell) for financial plans, please ask us for more information.