We offer training across a wide range of course formats and disciplines. Speak to our team today to get you, your team, or your organisation digital ready!
Speak to us today!
We offer training across a wide range of course formats and disciplines. Speak to our team today to get you, your team, or your organisation digital ready!
Speak to us today!
Sharpen your decision-making by representing data in a way that your whole organisation can understand.
A pronounced skills gap is just around the corner – and organisations need to act quickly or risk falling behind.
A strategic visualisation makes the light bulb go off. You just don’t get that with a spreadsheet.
Data visualisation is the process of turning data into graphics, which simplifies information and sophisticated ideas. It is both a science and an art form. It requires not just technical skill – but also craft of storytelling to ensure your audience are taken on the journey.
Visualisations showcase and communicate trends that would otherwise be the exclusive domain of data teams. Converting data into a visual form enables people to present their research and leverage a new, well-informed course of action. This process helps democratise data and allows businesses to make better strategic decisions.
Empowering employees by raising data skills is crucial in order for businesses to transform. To harness data, companies must scale organisation-wide upskilling solutions to instill a true data culture.
Produce actionable insights to innovate and improve every corner of your organisation.
Apply data-driven decision making to improve job performance throughout your workforce.
Improve your service and solve the right problems for your customers by using data to work on the most impactful initiatives.
Give your teams the skills they need to deliver digital transformation.
Identify key insights and create meaningful visualisations.
Feel equipped with the likes of SQL, Excel, Python, Tableau and more.
Communicate and influence stakeholders with clear data narratives and supporting visualisations.
The choice to use an organisational project. Build the commercial model and outline product recommendations for future implementation.
Embed modern product skills into your workforce that truly translate to digital transformation and broader business success.
Bring a project drawn directly from your business into our programs so that your people push priority projects forward within the context of learning.
Fortify your product talent pipelines with uplift programs to ensure deep talent pools and that your digital transformation projects remain on track.
We create a vibrant learning culture including access to an ecosystem of industry expert facilitators and learning designers.
Bring about real behaviour change with hands-on learning that goes beyond standard content libraries.
Every learner receives an industry-recognised certification and digital badge to showcase their new capabilities.
Fill the form below to receive your copy of our Product Management training guide.
We work closely with our clients as collaborative partners to build the best data analytics courses to help them accelerate decision making and actions from data insights.
We work with you to understand where your capability gaps are, design a data and analytics learning program that hones in on and addresses these gaps and continuously measure for impact, not just learner engagement.
On successful completion of our Data and Analytics training, every learner will be issued an industry-recognised certificate in Data Analysis. We encourage learners to share their verified credential on LinkedIn to promote their data analytics certificate and to support their organisation’s commitment to upskilling.
In order to deliver the training for your team, we can provide content to support the development of a business case to match your learning strategy.
The skills needed to work with data closely mirror many of the abilities the World Economic Forum outlines in their Top Ten Work Skills for 2025 list. This list maps the jobs and skills of the future.
These include: Analytical thinking & innovation (#1); Complex problem-solving (#3); Critical thinking and analysis; Reasoning, problem-solving and ideation (#10).
While data analysis and data science both involve working with data, the main difference is what each discipline does with that data.
Where data science is more technical (data modelling, algorithms, predictive models etc.), data analysis involves identifying trends, developing charts, and creating visual presentations to help businesses make more strategic decisions.
Keep up with the latest in workforce planning with our webinars, case studies and thought leadership pieces.
Our panel of leading product managers where we will discuss why Product Management is having a moment right now and what lies ahead.
The challenge: Train a team of health policy professionals within the Australian Department of Health in digital and design disciplines, preparing them to launch and lead a new digital hub.
Woolworths CEO Brad Banducci recently spoke of a mixed strategy of build, buy and partner for developing capability. What does ‘build, buy and partner’ mean?
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