Transform Your Career's Potential

Become a sought-after data specialist in your team and organisation

  • Discover

    How to structure your datasets in order to build advanced analytics solutions and start your machine learning journey!

  • Explore

    The latest use cases and applications of data science in business and society and how experts develop their analytics solutions!

  • Learn & Apply

    Develop basic yet powerful and applicable predictive analytics and machine learning models using R and Cloud solutions.

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For Everyone

Technical and Non-Technical

The intro to data science and analytics training program is delivered through an interactive, team oriented approach in a live, face-to-face setting utilising the latest tools and techniques geared towards the beginner.
team work online

Engaging and Interactive

Driven by Examples and Use-Cases

Participants are exposed to examples and techniques and work on practical use cases building simple yet robust analytics solutions using powerful software tools and a cloud-based solution.

Welcoming and Inclusive

Group sessions where no one is left behind

The delivery rhythm throughout the session is highly approachable, encouraging of participation and inviting to all backgrounds. It’s purposely built for an active and relevant learning experience where no one is left behind.

Practical and Useful

Learn to plan and build your analytics solutions

Using a popular commercial tool and an open-source statistical programming language, participants learn actual solutions to tackle their organisations problems with data through hands-on exercises.

Instructor

Learn from an experienced professional who is also passionate about teaching

Data Science & Analytics Partner

Felipe Rego

Felipe is a leading advanced analytics and data science consultant and partner helping teams build, manage and enhance their data science, analytics and data visualisation solutions. After years in the corporate world, he now leads his own data consultancy. He is an experienced instructor in data science, analytics, machine learning and visualisation delivering both online and face-to-face training. He’s received an M.Phil. in Electrical and Information Engineering with specialization in Learning Analytics from The University of Sydney and he served as the data visualisation and storytelling advisor for the South Australian Health Department’s Commission on Excellence and Innovation in Health Clinical Informatics Group. Felipe is also a blogger, recognised internationally for his thought leadership, having articles ranked #1 in Google search and referenced by many sources and students from leading educational institutions. For more, visit: feliperego.com.au

Program Structure

Provides You With an Engaging Experience

The intro to data science and analytics program is delivered over two consecutive days, with each day, generally, starting at 9am and finishing at 4pm AEST. Each day is made up of 4 sessions with pre-arranged morning, midday and afternoon breaks. Prior to sessions commencing, participants are asked to fill out a ‘pre-course’ survey that gauges their aptitude and skills in a variety of domains relating to data analytics. This allows for a baseline benchmark to quantify the impact of the learning at the end of the sessions. Participants are then immersed in the content.

Program Agenda

Gain practical skills in data science and analytics

  • 1

    Building the Foundations to Create and Deliver Value

    • 1.1 Welcome Message & What To Expect

    • 1.2 How This Program Works
  • 2

    Session 1 Day 1: Data science and machine learning foundations

    • Explore the fundamentals and historical developments of data science and machine learning

    • Showcase and explain in layman’s terms the latest trends and hot topics in analytics

    • Discuss and define a variety of concepts and use cases in data science and machine learning
  • 3

    Session 2 Day 1: Organisational structures, roles and technology considerations in data science

    • Learn about how organisations are structuring themselves for analytics

    • Introduce and clarify roles, tools, techniques and tactics needed in data science

    • Discuss job opportunities and skills needed in the marketplace
  • 4

    Session 3 Day 1: Building and managing a successful data science capability in your organisation

    • Making sense of your organisation’s analytics capability and maturity

    • Plotting a roadmap from business strategy to data science realisation

    • Understanding of what makes organisations do data science and machine learning right
  • 5

    Session 4 Day 1: Data visualisation and action-oriented data storytelling to communicate results

    • Contextualise and define concepts in data visualisation for data science and analytics

    • Showcase and explain in layman’s terms the latest trends and hot topics in data visualisation

    • Learn about the latest tools and techniques to create compelling visual data storytelling
  • 6

    Session 5 Day 2: Fundamentals of applied statistics for data science

    • Explore introductory concepts in statistics and probability

    • Contextualise differences between supervised and unsupervised learning, regression vs classification models, etc

    • Explore sampling, bias, data quality and other issues affecting machine learning models
  • 7

    Session 6 Day 2: Introduction to descriptive and predictive analytics in practice (hands-on software practice)

    • Explore and work through an exploratory data analysis (EDA) exercise

    • Introduce and apply a machine learning model to a basic and simple dataset

    • Utilise a popular business tool to interpret and summarise the results of a predictive model
  • 8

    Session 7 Day 2: Interactive and scalable data science and analytics solutions (hands-on software practice)

    • Introduce and work through a basic supervised learning model using R and Jupyter Notebooks

    • Introduce and work through a basic unsupervised learning model using R and Jupyter Notebooks

    • Introduce and work through a basic supervised learning model using a machine learning solution in the cloud
  • 9

    Session 8 Day 2: Data science and machine learning in action

    • Revisit main themes, tools, techniques and strategies

    • Build a practical action plan to apply learnings to your organisation

    • Group discussion, final reflections and insights
  • 10

    Taking Your Learning Further

    • 4.1 What Have We Learned

    • 4.2 Next Steps

    • 4.3 Other Programs by Felipe

Program Outcomes

Prepares You to Radically Impact Your Business

Participants apply their learnings utilising the resources and references provided with real-life case studies and benchmarks and are also encouraged to think / reference their own specific on-the-job projects (where appropriate and where privacy and confidentiality have been assessed and considered).

The hands-on practice exercises on participants' own computers are an excellent opportunity for participants to gain practical experience in solving analytics problems in almost real-life scenarios, using industry-standard software and tools. Each participant's solution is then shared with everyone in the wider group for additional learning, team building and experience sharing.

At the end of the program, group discussions are encouraged, and some additional time is made available for further questions and/or some more tailored, specific advice on an individual or group level. Before concluding, participants are asked to fill out a ‘post-course’ survey to capture / quantify the learning experience output from the sessions. The ‘post-course’ survey also asks key qualitative questions on actionable takeaways from the lessons that can be shared with participant’s organisation and leaders.

Earn a Digital Badge

Powered by Accredible

At the end of the sessions, participants are issued a Digital Badge confirming their presence and acquired knowledge. Digital open badges are an online standard for recognising and verifying learning. They are a fantastic way to exhibit your achievements and establish credibility. You'll be able to share it with the world!

What Participants Say

Relevant and applicable content that transforms individuals, teams and organisations

BI Team Leader

"I had the pleasure of taking Felipe’s Analytics Workshop. It was a great introduction to Data Analytics and Machine Learning. Felipe customised the content very well to cater to the knowledge level and interests of attendees and made the online delivery arrangement very practical and enjoyable. I would recommend Felipe to anyone interested in learning about Data Analytics."

Change Manager

"Felipe is extraordinary at what he does and always prepared to go above and beyond. Felipe is skilled at breaking down technical concepts into everyday language, making sure that the content connects to individuals. His classes are not only informative but enjoyable. He is a talented leader who is able to motivate and empower others to do their absolute best."

Senior Manager, Data Engineering and Integration

"Felipe is dedicated, passionate and committed to what he does. He can articulate complex concepts in machine learning, data visualisation and analytics with such ease and flair that even a beginner would develop passion for Data at the end of the session."

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Next Sessions
Upcoming Dates Available

Join other savvy professionals looking to expand their skills and gain opportunities to grow in their careers!

Book Now!