Data Science Springboard for Professionals

Transformational thinking for productivity, innovation and technology.

REDEFINING Professional EDUCATION FOR RESOURCES

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.

 

Embed Internal Capability

Solve Business Challenges

Partner with leading educators

Advanced Standing Credit

 

Program Overview

 

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.

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.

What you will learn

 

1

Transform data into actionable outcomes to generate actionable change.

 

2

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

3

Appreciate good practice in data science; determine if data was collected and analysed correctly and efficiently.

 

4

Make wise decisions and recommendations in the face of uncertainty.

5

Converse and work more effectively with data scientists.

6

Articulate the important outcomes to a non-technical audience.

 

What you will deliver


Data solutions into the business. A Capstone Project, which applies your skills week on week to a priority business challenge with defined scope and data to apply skills to deliver a business outcome.

 
 

FIND OUT MORE

Course Overview

 

Leading data science to Solutions: PRE-PROGRAM Leader DAy

Setting up for success: project and data scoping

 
Picture1.png

Data science springboard technical preparatory

DAY 1 & DAY 2: Introduction to program tools and set up

 
Picture2.png

Introduction to Data Projects

DAY 3: Zero to Data Science in a Day

 
Picture3.png

Data Analysis

DAY 4: Getting to Know the Program Tools - data munging and exploratory data analysis

DAY 5: Simple Predictions - regression and statistical model building

DAY 6: Multivariate analysis and model building

 
Picture4.png

Data & Communication Sandbox

DAY 7: Effective Data Storytelling - communicating results to non-technical audiences

 
Picture5.png

DATA Fusion & Machine LEARNING

DAY 8: Pros & Cons of Commonly Used Statistical & Machine Learning Techniques I

DAY 9: Pros & Cons of Commonly Used Statistical & Machine Learning Techniques II

 
Picture6.png

DATA Fusion Sandbox

DAY 10: Sandbox Consulate - consolidate approaches covered and test on datasets

 
Picture7.png

Special data types - time-series data

DAY 11: The 4th Dimension & Predictions

 
Picture8.png

Special data types - Natural Language Processing & Text MIning

DAY 12: Finding Needles in Wordstacks

 
Picture9.png

Special data types - SPATIAL DATA

DAY 13: Spatial Analytics & Predictions

 
Picture10.png

Capstone Project development & Presentation

DAY 14: Pitching Capstone Projects

 
Picture11.png

CAPSTONE PROPELLER

DAY 15: Project Review Day - 3-months post program

 

Who should attend?

 

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.