Introducing Open Water - the Data Runs Deep Digital Analytics bootcamp to build the next generation of digital analytics superstars (or something close to that.)
We're excited to announce our brand new, fresh-off-the-line Data Runs Deep Digital Analytics Bootcamp, a first-of-its-kind analytics training academy designed to nurture the skills of the future field-leaders of digital analytics.
Set over twenty-three sessions, the twice-weekly training courses are limited to eight participants who are all in it for the long haul. Three of these spots will be fully-paid scholarships with all costs covered by Data Runs Deep, and there will be unique opportunities to learn from current top practitioners, ex-Googlers, and client-side analytics managers.
We believe this is the first training course of its kind in the world. Intake will be confirmed in April, with classes starting in May.
Admission is on an invitation-only basis. If you're keen to be notified when our intake opens, please send an email to email@example.com with either "Bootcamp" or "Pick me!" in the subject line.
Why "Open Water"?
Open Water is the name of PADI's advanced diving instruction. You learn Open Water diving after mastering the basic and intermediate stuff.
We figured that this is kind of what's missing from Google Analytics training. We're top dogs at training courses, but how do we go about taking people to the next level?
Each week covers a different topic, with required reading and prep-work, and assignments.
Students receive regular check-ins between courses, with support from Data Runs Deep digital analytics consultants via email, Slack and web call.
Items subject to change, reshuffling, and revision
1. Google Analytics Recap
Metric scopes, custom reports, troubleshooting. There will be a test!
2. Marketing performance analysis in Google Analytics
Acquisition, attribution, and common pain points.
3. Content Analysis in Google Analytics
Effective measurement for sites that aren't selling.
4. Audience Segmentation in Google Analytics
Audiences and data sharing with the rest of Google Marketing Platform.
5. Measurement Strategy
How to run a stakeholder workshop that sets out how to configure tracking to answer the questions that matter.
6. Tracking Implementation in Google Tag Manager
An intro to GTM implementation. Container setup, architecture, and tinkering under the hood.
7. Data Design
Event and Custom Dimension tracking configuration and taxonomy best practices.
8. Custom tracking through GTM
Implementing Events and Custom Dimensions. Tracking navigation and website assets.
9. The dataLayer
Why and when to use the dataLayer, common functions, and more.
10. The dataLayer part 2
Going advanced; tracking Enhanced Ecommerce with dataLayer, common troubleshooting, and getting hands increasingly dirty.
11. App+Web Google Analytics
Data design and implementation for the new version of Google Analytics, App+Web.
12. Site auditing and troubleshooting
Problems with the payload, Enhanced Ecommerce restrictions, extracting info from cookies, and more.
13. Digital Marketing 101
Analytics is fine, but what about the bigger picture? An industry guest joins us for a group discussion to place analytics in a broader context.
14. Data Visualisation in Google Data Studio
Best practice design guidelines. Tinkering with data source import.
15. Intro to statistical programming - R
Importing Google Analytics data into R, running box plots, and forecasting with a predictive model.
16. Intro to statistical programming - BigQuery and SQL 1 of 2
Aggregate queries, unnesting tables, and investigating possibilities with Google BigQuery.
17. Intro to statistical programming - BigQuery and SQL 2 of 2
Running more complex queries like determining the time between two events, and joining tables.
18. Modelling in BQ
Introducing regression models to predict sales, and playing around with BQML.
Getting your head around Python to carry out common digital analytics tasks.
20. Communicating Technical Topics
In this guest session, you'll learn from a professional public speaking coach about how to translate technical stuff into accessible presentations.
21. Presentation Prep
Preparing your presentation to the rest of the class.
22. Presentation Delivery
Presentation time! We want to see what you've done to put all this together on your own website's analytics, our own site, or one of one our participating client data sets.
23. Learning from client-side
We live in agency land, but what's it like in client land? This session features an informal meet 'n' greet with some of Data Runs Deep's clients.
At the end of Session 23, we'll have a silly sort of graduation thing, with drinks, canapes, and a chance to network with some of the country's leading web analytics practitioners and companies. A great opportunity to meet people who are recruiting for people just like you.
Does this sound good?
Of course it does. Admission is by invitation only. If you'd like to hear from us when we're ready to issue invites, email firstname.lastname@example.org with either "Bootcamp" or "Pick me!" in the subject line.
Wait - Does It Cost Money?
Yes. Course fees for the full 23 sessions are $5,000 ex GST.
A scholarship place costs precisely $0. To be eligible for a scholarship, you need to be a recent (last 2 years) graduate with a passion for and an interest in digital analytics. You'll be required to record a short video introducing yourself and explaining why you're a great candidate for a scholarship.