Gitgirl School of Data

We offer three unique tracks to support your career goals in the data field, with preliminary courses that lay a foundation for you before you start the tracks. Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in our school of data, you can launch or advance a successful data career. Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts in the field.

Advanced courses

Sept 2nd, 2019

Data Analysis & Visualization (advances into Predictive Analytics)

Sept 2nd, 2019

Data Science (advances into Artificial Intelligence)

Sept 2nd, 2019

Data Tracking for Project Managers

Preliminary courses

Immersive Curriculums

Gitgirl curriculums are immersive in core data fields. They are designed to be interactive and will encourage you to embrace active learning. Our world-class content is developed both in-house by local experts and by international partners like DataCamp.

Learning Community

Our learning community of women and instructors provide accountability and a support group to help you through the program.

Career Services

Our career services involve preparing you for a career in data. We stage prep-interviews, CV reviews, and portfolio evaluations to ensure career readiness and your ability to land your dream job. It is important to note that career services are only available to Data Analytics, Data Science, and Data Engineering courses.

Learning Support

Our on-demand support ensures a member of our team is always available to help you through the journey.

Payment Options

We don’t make financing a hinderance to your investment. Even if you can’t pay upfront, we offer competitive financing options through reputable financing partnersTM.

Scholarship for Recent Graduates

Are you fresh out of school, not sure how to launch a career in tech? Apply for our new graduate scholarships to study at the academy with almost no financial implications.