Data Science Bootcamp

Breaking into Data Science

This 18 week bootcamp teaches you the skills you need to deliver data science projects effectively. The first 12 weeks cover core skills and concepts in data science whilst advancing to topics like deep learning and natural language processing to enable you to meet modern business needs. Every week, you’ll do two evening sessions that blend lecture and labs to ensure you get practical experience that will help you become a successful data scientist.

The course covers the fundamentals that everyone will need in order to be successful in data science – coding, maths, data analysis, and working practices. These are the foundations that data professionals need to succeed. Once the basics are covered participants will take a deep dive into different techniques for arriving at conclusions and making predictions required to tackle a variety of business challenges. The last few weeks of learning will be spent on getting data science products into production and maintaining them – key skills that are hard to find practical advice on.


Super Early Bird price before July 20th
(Payment plans available)

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Info and costs

  • Dates 26-09-2019 - 14-02-2020
  • Length 18 weeks
  • Timing
    Every Thursday & Friday evening (18:15 - 21:15)
  • What is included in the cost?
    Cost includes materials, snacks and refreshments throughout the course.

    We like giving discounts. Avail of corporate, student and Talent Garden member discounts here.

Meet the faculty teaching this bootcamp

We are educators who are committed to the student learning experience and to taking an ‘action learning’ approach to teaching. We do this through delivering interactive lectures and practical workshops that are grounded in theory but focused on real-world application.
Dr. Finn Macleod
Steph Locke
Mick Cooney
Ruth Kearney

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Find out more about this course

Contact us

Talent Garden Dublin, Claremont Avenue, Glasnevin, Dublin 11.

Contact Ruth Kearney, Innovation School Director for more information.
(01) 5566150