Data Analytics Online Workshops

10th Nov 20 12:00 PM to 2:00 PM
12th Nov 20 12:00 PM to 2:00 PM
17th Nov 20 12:00 PM to 2:00 PM
19th Nov 20 12:00 PM to 2:00 PM
24th Nov 20 12:00 PM to 2:00 PM
26th Nov 20 12:00 PM to 2:00 PM
1st Dec 20 12:00 PM to 2:00 PM
3rd Dec 20 12:00 PM to 2:00 PM

Data Analytics Online Workshops

The Research Society presents a new way to learn analytics.

How does it work?

In this new learning format, we’ll focus on one topic each week for 4 weeks.

On Tuesday mornings a 2-hour session will introduce you to the learning content for the topic. A recording of the learning materials for this session will be available - you can attend live or catch up later (or both).

A homework assignment will help you consolidate your learning and on Friday morning we’ll get together to debrief the homework solutions and have time for Q & A.

The topics

Topic 1 – Driver Analysis

  • Stated vs derived vs experimental design methods
  • Overview of specific techniques and when to use
  • Interpretation of statistical output

Topic 2 – Identifying Patterns and Themes

  • Principal components analysis
  • Naming factors
  • Use in driver models and segmentation
  • Item reduction exercises

Topic 3 – Segmentation

  • Demographic vs attitudes vs occasions
  • Introduction to various algorithms
  • Making sense of typical outcomes
  • Developing client-ready slide packs

Topic 4 – Choice Models

  • Choice-based conjoint
  • How to define attributes and levels
  • Creating a design grid
  • Understanding outputs
  • Market forecasts and demand curves (within simulators)

Learning Outcomes

Participants will:

  • Develop an appreciation of the practical use of key analytical techniques
  • Understand where and when to use various techniques
  • Learn how to interpret key outputs from your analytics team
  • Learn how to talk about the results confidently

What don’t we cover?

The topic sessions are not an instructional guide on how to run the analyses yourself nor a mathematical description of methods.

Who should take part?

Quantitative researchers

  • With around two to eight years experience
  • Experienced in survey design and running basic analyses
  • Who are now looking to develop their understanding of advanced analytical techniques

The details

Topic 1 – Driver Analysis

Commencing 10 November

  • 10 November - 12:00 – 2:00 pm Topic Learning Session (Webinar)
  • 10 -12 November Homework exercise in your own time
  • 13 November – 12:00 – 1:00 pm Homework Debrief Session (Webinar)

Topic 2 – Identifying Patterns and Themes

Commencing 17 November

  • 17 November - 12:00 – 2:00 pm Topic Learning Session (Webinar)
  • 17 -19 November Homework exercise in your own time
  • 20 November – 12:00 – 1:00 pm Homework Debrief Session (Webinar)

Topic 3 – Segmentation

Commencing 24 November

  • 24 November - 12:00 – 2:00 pm Topic Learning Session (Webinar)
  • 24 -26 November Homework exercise in your own time
  • 27 November – 12:00 – 1:00 pm Homework Debrief Session (Webinar)

Topic 4 – Choice Models

Commencing 1 December

  • 1 December - 12:00 – 2:00 pm Topic Learning Session (Webinar)
  • 1 -3 December Homework exercise in your own time
  • 4 December – 12:00 – 1:00 pm Homework Debrief Session (Webinar)

Presenters:

Scott Watson

Associate Director, Nature

With around 15 years of experience both in academia and commercial marketing sciences, Scott marries a strong technical background (multivariate statistics, choice models, segmentation) with a wider commercial acumen, and the understanding that research needs to be insightful rather than just informational.

Scott has worked across a wide range of categories and global brands including adidas, British Airways, Barclays Bank

With a BSc in Psychology, a MSc in Research Methods, and five years as a lecturer under his belt, Scott is committed to life-long learning and development (for himself and others) and has run a number of MRS workshops in the UK before coming to Australia.

Peter Stuchbery

Senior Partner, Nature

Peter has been working in research and finance roles for over 15 years and has the rare trait of possessing a strong understanding of business issues coupled with outstanding conceptual and technical analytic skills.

He has had exposure to business, marketing and communications matters across most industries, in particular finance, telecommunications, FMCG, public transport, insurance and energy.

A graduate of Melbourne University with Honours in Commerce specialising in Actuarial Studies and Finance, Peter is a regular speaker at Research Society Professional Development Programs, and regularly publishes articles for research and marketing publications.

Emma Tommasini

Senior Associate Director, Nature

Emma is an experienced quantitative researcher, with a passion for integrating data from different sources to provide holistic and rich insights for clients. She is also passionate about communicating insights through storytelling and representing data in visually compelling ways, and sees both as an essential part of translating complex research data into easy to understand outcomes.

Her background spans a broad range of methodologies including brand & acquisition, communications testing, segmentation, U&A, with a particular focus on FMCG programs.

Emma is a graduate of Monash University and holds a Bachelor of Commerce, majoring in Marketing and Human Resource Management

Event information

Dates:
10th Nov 20 12:00 PM to 2:00 PM
12th Nov 20 12:00 PM to 2:00 PM
17th Nov 20 12:00 PM to 2:00 PM
19th Nov 20 12:00 PM to 2:00 PM
24th Nov 20 12:00 PM to 2:00 PM
26th Nov 20 12:00 PM to 2:00 PM
1st Dec 20 12:00 PM to 2:00 PM
3rd Dec 20 12:00 PM to 2:00 PM

Start Time:
NSW | ACT | VIC | TAS: 12:00 pm -  2:00 pm
QLD: 11:00 am - 1:00 pm
SA: 11:30 am - 1:30 pm
NT: 11:30 am - 1:30 pm
WA: 9:00 am - 11:00 am

Arrival Time:
5 mins before start time - please make sure you have downloaded the program and be ready to start.

Location:
your PC

QPR Points: 50

Member Price: $550.00

Non-member Price: AU $ 880

Your Price: AU $ 880.00

Registration






Registrations Open: 10th Sep 20 5:00 PM

Registrations Close: 10th Dec 20 10:00 AM

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