Advanced Data Strategy For Engineers and Data Scientists

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This expert is available for private and team coaching and in-company presentations.

Tim Garnsey

Former Data Science and Behavioural Modelling Leader, Atlassian

Workshop overview

Support the growth of your business and supercharge your value proposition as a software engineer by developing advanced data skills with Australia’s best known data, machine learning and automation strategist. This one-day intensive is designed for data analysts and high-achieving software engineers. You’ll learn new techniques in machine learning, automation and decision science and workshop your business and career objectives with Tim Garnsey who has led data and analytics strategy at Atlassian, Airtasker, Spaceship and more.

Workshop outcomes

Understand the benefits and limitations of key modelling and automation tools beyond Google analytics including Segment.io, Amazon EMR and Mode
Learn strategies to join together data and achieve single customer view to better understand the drivers of your business
Develop and deploy a live automation system in AWS and work with Tim to identify automation opportunities in your business context.
Learn to build machine learning models including decision trees, support vector machines and random forests to automate business decisions. You’ll create a machine learning model on the day and combine it with the AWS example.
Learn to explain the story behind numbers and the implication of your model. Present a business case and articulate the value of your strategy.

This workshop is suitable for:

Software engineers and engineering team leaders who want to learn the latest techniques in data, analytics, automation and machine learning
Data and analytic engineers who want to develop an advanced data and automation strategy for their business
Data consultants looking to understand how the fastest growing technology companies are using these techniques to develop strategy.

Prerequisite:

The ability to read short code blocks written in Python. Ability to code in Python not necessary, though there will be opportunity do extension exercises if you can
Some familiarity with SQL
Will require laptop and web browser during the workshop

Workshop curriculum

Module 1: Skills and roles

The roles that exist inside a data team (there’s no such thing as a “data scientist”!)
The two types of data team: product team and service team
The data workflow

Module 2: DataOps and engineering

The modern data technology stack
Business logic and infrastructure as code
Building trust in the engineering process
The trade-off between moving “fast” and being “deliberate”

Module 3: North star metrics and steering the business

Actionable (versus vanity) metrics
Building a single view of customer, and identity mappings
How to model business activity
Data driven decisions, including modelling and A/B testing

Module 4: Communicating with the business

Creating a self-service culture to scale the use of data
Frameworks for opportunity cost discussions
Reducing the hype while explaining the potential of machine learning

Workshop logistics

This workshop is one day and is limited to twelve participants, enabling Tim to focus on your business and career objectives. Tim delivers the course in person, weaving in real-life examples from his experience working with a range of large and small Australian companies including Atlassian and Airtasker. Participants will have the opportunity to ask questions particular to their business objective by email in the week leading up to the workshop and Tim will personalize the content and exercises to address everyone’s goals. At the end of the course you will walk away with a clear plan that you will be able to implement immediately. This workshop is held in an awesome boardroom, in the Sydney CBD and runs from 9am– 5pm with short breaks. Lunch, morning and afternoon tea is provided.