Data Science Short Course

Build on your foundational skills

In this short course, running 2 nights a week for 4 weeks at Collective Campus, you will build upon your foundational skills in Data Science with advanced functions and work through an industrial approach that you can use for your own portfolio to demonstrate your expertise to employers. The course will give you a deep understanding of the fundamental issues in data science and focus on refining your current skills. This will make learning new techniques on your own time much easier, long after you have finished the course.

The course is highly practical. You will work through real live examples using a variety of fun data sources, including nearly 100 million domestic flights, a quarter of a million tax returns, and raw images. If you have access to a dataset that you would like to use for your homework, bring it along!

A big part of learning data science is getting plugged into the community. To this end, you'll get continual feedback on your work from your course instructor, connect and discuss your work with other students and build a network you can rely on even after you've finished the course. 

Who should take this workshop?

The course is suitable for those who are an analyst, banker or consultants who perform quantitative analysis at work, but mainly do so using Excel. This is also applicable to those who want to broaden their skillset such as software developers who are not afraid to code, but won't have a strong quantitive background either. Those who have recently finished the Data Science Fundamentals course can continue their Data Science journey by taking this short course. The 4-week course will contain syllabus suitable for students who have had some experience with R. If you aren't sure whether you'll be eligible to the course, we strongly recommend you to enroll to Data Science Fundamentals: Intro to R. 

What to bring


WHat to expect

Week One

Week two


  • Introduction to predictive modelling
  • Structural modelling vs machine learning 
  • Predicting different data types
  • Building a predictive model using linear regression 
  • A brief introduction to Bayesian modelling
  • Classification and regression trees

Week three


  • Overfitting
  • Training vs test error
  • Cross-validation

Week Four

More Advanced Predictions

  • ‍Shrinkage methods, ridge regression, the lasso
  • Smoothing splines
  • ‍Random forests and boosting
  • ‍Variable importance

Everything  you need to know

November 1 - November 24

Tuesdays, 6:00 PM - 8:30 PM Thursdays, 6:00 PM - 8:30 PM

Super Early Bird: $895

Early Bird: $945

Regular: $995

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Why pay for instructor-led tuition?

Though there are many fantastic online learning options available, more often than not we don't end up completing the course - either because it gets too difficult or we simply lack the discipline to persevere.  Our program is for those who want to ensure they can learn what they need to within a certain timeframe. By having an instructor and peers, you are held accountable, and will have the support you need to push through.

Where does your course material come from?

We've partnered with one of the premier coding bootcamps in Silicon Valley to bring you this course. The curriculum is constantly updated and their full time graduates have been placed in more jobs than all the Bay Area universities combined. It's good stuff.

Are there discounts for teams?

Yes, we do offer group discounts. Please email with your requirements or call us on (03) 9996 1257.

Who should apply? what do you look for in applicants?

This course is aimed at people with absolutely no data knowledge, but who would love to learn how to, for a career change, or just increase their skillsets.

Above all else, we look for those with perseverance and a drive to grapple with new challenges. We can teach you all the technical stuff.