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Data Gathering and Tag Management

Learn the essentials not only in clean & validating data, but why tagging is important & skills to kick start understanding the leading tag mgmt solutions

By Analysts for Analysts, this program brings you the most relevant knowledge to develop and accelerate your skills!

Initially developed as a 4-year program for Google to train graduates to become digital analysts.

Sparkline ran and evolved the program to align to the Digital Analytics Association competency framework, ensuring it covered all the necessary business applicable tools and techniques to kick start an Analytics Career.

This is one module in the entire curriculum for you to 'pick and mix' what tools/techniques are most relevant for you!

Our previous stats speak for themselves, with 100% employment opportunities and offers, entry level salaries at 16% above average, and 100% of participants recommending the course to others.

Google's feedback:

"the Sparkline team have been great partners to Google in delivering the SquaredData program, a flagship example of public-private sector upskilling for Singapore in the areas of data and analytics over the last 4 years "

Joanna Flint, Managing Director, Google

Anywhere, Anytime learning to bring a proven curriculum to ANYONE passionate about being an Analyst. Experience practical active learning, real world examples from businesses, quizzes, cheat sheets and interviews from Analysts and industry professionals on why these roles are so important to today's businesses.

We are not a training company, but rather an analytics company that trains global businesses and people. want to empower anyone passionate about the space to access content that will nurture these crucial skills, in practical, accessible and cost effective ways.

We hope this helps you in the stepping stone to a fabulous Data Driven Career xx


The Curriculum

Data Gathering

1. Evaluate & Clean Data

1.1 Data Gathering

1.2 Gather Your Data

1.3 Evaluate & Clean 1

1.4 Evaluate & Clean 2

2. Joining Data Sets

2.1 Joining Data

2.2 Tools to Help

Tag Management

1.1 Introduction to Tag Management

1.1.a Introduction to Tag Management

1.1.b Account Structure & Definitions

1.2 Google Tag Manager Terminology

1.2.a GTM Triggers

1.2.b GTM Variables

1.2.c GTM Event Tracking

1.3 Google Tag Manager Concepts

1.3.a AdWords Conv & Rematkg Tags

1.3.b Facebook Pixel

1.3.c Testing & Publishing

1.3.d Container Versions

1.4 Demo: Google Tag Manager

1.4.a GTM Demo: Tags and Triggers

1.4.b GTM Demo: Variables

1.4.c GTM Demo: Exercise 1

1.5 Demo: Google Tag Manager

1.5.a GTM Demo: Event Tracking

1.5.b GTM Demo: 3rd Party Tags

1.5.c GTM Demo: Exercise 2

1.5.d GTM Demo: Testing & Publishing

2.1 Demo: Adobe Dynamic Tag Manager

2.1.a Create a Property in DTM

2.1.b DTM Library Files: Code Placement

2.1.c DTM Data Layer

2.2 Demo: Adobe Dynamic Tag Manager

2.2.a DTM Integrations

2.2.b DTM Rules & Conditions

2.2.c DTM Approve & Publish

3.1 Demo: Tealium

3.1.a Tealium Demo: Tags & Load Rules

3.1.b Tealium Demo: Exercise 1

3.1.c Tealium Demo: Event Tracking

3.1.d Tealium Demo: 3rd Party Tags

3.1.e Tealium Demo: Testing & Publishing


Course Curriculum



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