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 >
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.
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.
Pre-work. 10 hours of work preparation
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.
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.
See Career Development plan in our specific web section.
Idioia Martí i Aluja
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.
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)*
Friday (16:00 – 20:00)
*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”.
Here are the steps for completing our admissions process:
Dates & Schedule
From June 29th to July 31st
If you would prefer a different schedule, please let us know, since we try to accommodate different schedule preferences.
Tuition Fee and Payment Conditions