Data Science Springboard for Professionals



March-May, May-July, July-Sept, Sept-Dec 2019 in Perth and from mid-2019 in Brisbane.


The Data Science Springboard Program is a 15-day education program for technical resources professionals, facilitated by research specialists and leading academic educators. It is delivered one day per week over 12 weeks (plus a 2-day Prerequisite Course and a 1-day Capstone Project Summit).

Step back from your day-to-day responsibilities for one day a week to learn from experts how to bring new tools and types of analysis back to your day job and team, maintaining that connection directly to your role.


Upon completing the course, participants will be able to:

  • Transform data into actionable outcomes.

  • Select the right tool for the problem; evaluate which tool to use, why and when.

  • Appreciate good practice in data science; determine whether data were collected and analysed correctly and efficiently.

  • Make wise decisions and recommendations in the face of uncertainty.

  • Converse and work more effectively with data scientists.

  • Articulate the important outcomes to a non-technical audience.

Immerse yourself in this breakthrough learning experience and develop a sharper perspective on the challenges facing your organisation and how to leverage your technical and company background into the digital age.

We are building peer groups of technical project roles in resources companies, to act as a community – together we are building a talent pool with greater data science literacy. If participants think they grasped the opportunities of applying the tools the first time within the program, it is going to be an order of magnitude more powerful applying the learning in follow on projects back in your organisation.


The 15-Day program is designed for professionals in a range of technical positions and disciplines who use data to make decisions in the mining and energy sector. You will typically be responsible for delivering technical projects and providing regular recommendations to your leaders, including:

  • Geoscientists across geology, geophysics, geochemistry

  • Scientists such as Chemists

  • GIS professionals

  • Engineers

  • Metallurgists

  • Process specialists

  • Technologists, innovation, R&D

  • Customer facing teams

  • Any technical role making substantial use of data analysis

We anticipate most applicants are likely to be tertiary-educated and with substantial industry experience i.e. 5-30 years. We will work with you to ensure that this is the right course for you.


It is also anticipated that highly experienced data scientists are probably not likely to attend this course.

The course is intended to deliver an introduction to data science with strong contextual framing to its applications in industry connecting mining, energy and technology opportunities. Therefore, it is not anticipated that this course will be suitable for personnel without strong numeracy skills, or for personnel whose roles would not gain from data-based opportunities to integrate across functions and along the value chain. If you are unsure, please contact us to discuss your suitability.

CORE Skills uses a self-assessment survey as part of the registration process to confirm your fit for the program.


Digital technologies and the resulting flood of data promise to re-order the resources sector as we know it.

Learn what it takes to harness opportunities to overcome known resource sector challenges in the Data Science era, and embrace the disruptive context we are in.

We know that there is a real gap between the data science skills of professionals in the workforce today, and the skills that will be in high demand in the next few years. Complacency in today’s paradigm is a career- and company-limiting move. Take the next step of your journey with CORE Skills to develop better approaches and new ideas of how to identify, test, and interpret potential data science and statistical solutions.

This program will improve the clarity of your personal role through the transition, and the needs of your organisation. Your active engagement through the program will be of direct benefit not only to you, but also to your team and ultimately your organisation. We look forward to supporting your growth in a Chatham House Rule environment with a focused cohort of peers from across mining and energy.


This program is a hands-on, practical exploration of the key themes of good statistical practice and on the job experimental design to create, reveal, and capture value by delivering technical analysis in resources projects. We contend that the best data scientists test assumptions underpinning their plans daily not annually.

While participants will likely have deep technical domain knowledge stemming from their tertiary education and career experience, this program will deliver a toolkit with you and for you.

In the transition of organisations to unlock the full potential created by becoming data-driven, professionals who continue to rely on existing ways to deliver their personal productivity through analytical rather than data science projects risk missing the opportunity to harness new and powerful key drivers of performance. Release huge value for yourself by getting out of the day-to-day and business-as-usual mindsets. Step outside your business to actively develop a new toolkit and challenge yourself to think like an intrapreneur.

Professionals in the resources business today need to be able to support their leaders and the decision making in their organisations by being able to transform data into actionable outcomes and to identify opportunities to link as-yet not routinely connected data types to answer questions of value.

Explore and analyse problems to increase your mastery of the tools and to develop appreciation for which tool to use, why and when. In the age of disruption, we seek to build the capability of technical professionals with amplified data science skills who are excited to provide to your organisation:

  • Well-conceived pilot project proposals you wish to undertake

  • Insight to link activities beyond your immediate team/routine processes such as upstream and downstream activities

  • The ability to use good practice when applying tools to data, and

  • The confidence and creativity to experiment with approaches to address defined actionable outcomes

Through these actions you will create and deliver greater opportunities back on the job in your organisation.


  • 2-Day Prerequisite - Introduction to Data Science & the Tools

  • Week 1 - Introduction to Data Science: Zero to Data Science in a day

  • Week 2 - Data Analysis: Getting to know the tools - Data Munging & Exploratory Data Analysis

  • Week 3 - Data Analysis: Simple predictions - Regression & Statistical Model Building

  • Week 4 - Data Analysis: Multivariate Analysis & Building Models

  • Week 5 - Data & Communication Sandbox: Effective Data Storytelling

  • Week 6 - Pros & Cons of Common Statistical Methods & Machine Learning I

  • Week 7 - Pros & Cons of Common Statistical Methods & Machine Learning II

  • Week 8 - Machine Learning Sandbox

  • Week 9 - Special Data Types - Time Series Data: The 4th Dimension & Predictions Special Data Types - Natural Language

  • Week 10 - Special Data Types - Processing & Text Mining: Finding needles in wordstacks

  • Week 11 - Special Data Types – Spatial Data: Spatial Analytics & Predictions

  • Week 12 - Capstone Project Pitches & Celebration

  • 1-Day Capstone Project Summit - Post-project report back & Data Science “speed dating” accelerator

Contact CORE Skills Lead Brodie McCulloch for more information at