Dive deep into data visualisation, Python coding, and machine learning. Our Data Science course will guide you every step of the way, making complex topics understandable and engaging.
*Includes a 4-month internship (excl. self-funded)
Applications are closed.
Register to be notified for July 2024 intake reopening.
No internship
Applications are closed.
Register to be notified for July 2024 intake reopening.
You delve deep into data to spot trends, anomalies, and correlations, guiding informed predictions.
You turn complex data findings into compelling visuals and narratives, making data easily understood.
By training models, you teach machines to learn from data and predict future scenarios.
Data guides you in crafting and testing new solutions, leading to innovation and progress.
Working with different departments, you share insights that shape strategies and drive impact.
Our course is designed to give you the skills you need to excel in data science.
Carmen is the head of curriculum at ExploreAI Academy. She brings a blend of technical rigour and interactive learning, rooted in her research in pedagogy and passion for data analytics.
Lista, an instructional designer and a former student at ExploreAI Academy, brings analytical and innovative thinking from her background in web development.
Sarah's research in machine learning for student engagement enables her to design highly effective and engaging learning content at ExploreAI Academy.
Stefan combines his expertise in Python, machine learning, and analytics with a passion for deep foundational understanding in curriculum development.
Joining ExploreAI first as a student, Maureen later became a content developer. She blends technical, research, and writing skills to create instructional content that is effective and easily digestible.
Didi’s journey from Fine Arts to motion graphic design empowers ExploreAI courses with beautiful and compelling animated content.
Pay in a way that matches your budget. Pay up front, monthly or with a loan.
Get paid to study, by applying for a scholarship or having your employer fund your qualification.
