Study our full data science course, with lite and pro versions to suit every budget

Datalyst Academy Courses

Lite Version

Online content access only


Access all Datalyst Academy content for only $99. This package includes all the content of the full course minus the following perks:

  1. Mentoring
  2. Career support
  3. Project work (consisting of 100-150 hours worth of practice)
  4. No certificate

This course is ideal for:

  • Business Analysts looking to upskill and implement some data science techniques
  • Those with a STEM background who want to improve their skills
  • Curious software developers
  • Those not looking to change careers to become a data scientist

Pro Version

Full Data Science Certification


Future proof your career and become a data scientist

This is the ideal certification for those who start from zero experience in coding or data science and want to start a career in data science.

Our expert data science mentors take you by hand, and teach you all you need to know including starting from the basics, all the way to advanced machine learning and statistics.


The course includes:

  • 24/7 mentoring support
  • 12 months of career coaching during and after the course.
  • More than 100 hours worth of work on real world problems
  • Signed certificate of completion.


Duration: 3-6 months (20-40 hours/week) depending on commitment and prior experience

This course is ideal for anyone who wants to start a career in data science. Prior background in coding/maths can be helpful, but is not needed.

We guide you through the process step-by-step, from learning the fundamentals to getting a job.

Looking for a specific data science topic?


Check out our bootcamps which delve into the key themes including NLP, Recommender systems and deep learning. 


What you get:

  • Access to premium content
  • 1:1 mentoring with one of our industry expert mentors
  • Complete projects during the specific bootcamps. Students can use their own professional projects and we’ll support them to help implement what they’ve learnt.