Advanced Google Analytics Course + 77 Practical Questions

What you'll learn
A bit advanced Google Analytics concepts such as assisted conversions and calculated metrics
How attribution works in general and that it's not only about traffic sources
What are scopes and why their knowledge is fundamental
How events work and which ones makes sense to use
Many custom things like reports, dimensions, metrics, channel grouping and alerts
How regular expressions can save time and how to easily automate reports outside GA
Sessions and clicks are completely different metrics
Requirements
The will to learn :)
Knowledge who "User" is in Google Analytics terminology, how session is defined and ideally experience with basic analysis inside Google Analytics
In ideal way completed my course "Ultimate Google Analytics course + 50 practical examples"
Description
The course follows the previous one "Ultimate Google Analytics course + 50 practical examples" and is designed for all of you who already spent some time in Google Analytics and want to enrich your current knowledge. I assume you know how the session is defined and who/what user is :). The course will cover topics such as Attribution, Assisted conversions, Top conversion paths, Scopes or a couple of custom things like dimensions and metrics, alerts or reports. We'll explain how and why the volume of sessions and clicks differs and if you evaluate paid campaigns from tools like Google Ads or Facebook Ads you will be surprised how misleading data you're driven by.
Overview
Section 1: Attribution
Lecture 1 Attribution INTRO
Lecture 2 Parallel between attribution and soccer
Lecture 3 Attribution - traffic sources example
Lecture 4 Attribution and Model comparison tool setup
Lecture 5 Available attribution models
Lecture 6 How to use attribution models
Lecture 7 Attribution and landing pages
Lecture 8 Attribution and page value
Lecture 9 Attribution and device categories
Section 2: Platforms discrepancies
Lecture 10 Platforms discrepancies - INTRO
Lecture 11 Sessions discrepancies
Lecture 12 Conversions discrepancies
Section 3: Scopes
Lecture 13 Scopes - INTRO
Lecture 14 Theory - What scopes are?
Lecture 15 How data is processed
Lecture 16 Scopes application
Section 4: Custom dimensions and metrics
Lecture 17 Custom dimensions and metrics - INTRO
Lecture 18 Theory - what are custom dimensions and metrics?
Lecture 19 Practical examples
Lecture 20 How to set it up in Google Analytics interface
Section 5: Custom reports
Lecture 21 Custom reports - INTRO
Lecture 22 Explorer
Lecture 23 Flat table
Lecture 24 Map overlay
Section 6: Assisted conversions
Lecture 25 Assisted conversions - INTRO
Lecture 26 Theory - how do assisted conversions work?
Lecture 27 Practical examples from Google Analytics interface
Section 7: Events
Lecture 28 Events - INTRO
Lecture 29 Theory - What events are?
Lecture 30 Practical examples
Section 8: Regular expressions
Lecture 31 Regular expressions - INTRO
Lecture 32 What are regular expressions?
Lecture 33 Examples from the interface
Section 9: Top conversion paths
Lecture 34 Top conversion paths - INTRO
Lecture 35 Practical usage
Section 10: Filters
Lecture 36 Filters - INTRO
Lecture 37 How to use filters
Section 11: Calculated metrics
Lecture 38 Calculated metrics - INTRO
Lecture 39 Setup and practical usage of calculated metrics
Section 12: Custom channel grouping
Lecture 40 Custom channel grouping - INTRO
Lecture 41 How to create custom channel grouping
Section 13: Custom alerts
Lecture 42 Custom alerts - INTRO
Lecture 43 How to use them
Section 14: Automation in Google spreadsheets
Lecture 44 Automation in Google spreadsheets - INTRO
Lecture 45 How to create automated spreadsheet report
Section 15: What's next?
Lecture 46 NEW course - Google Analytics reports in Google spreadsheets
Google Analytics users who already know a bit more than how interface looks like :).


Homepage

https://www.udemy.com/course/advanced-google-analytics-course-77-practical-questions/

What you'll learn
A bit advanced Google Analytics concepts such as assisted conversions and calculated metrics
How attribution works in general and that it's not only about traffic sources
What are scopes and why their knowledge is fundamental
How events work and which ones makes sense to use
Many custom things like reports, dimensions, metrics, channel grouping and alerts
How regular expressions can save time and how to easily automate reports outside GA
Sessions and clicks are completely different metrics
Requirements
The will to learn :)
Knowledge who "User" is in Google Analytics terminology, how session is defined and ideally experience with basic analysis inside Google Analytics
In ideal way completed my course "Ultimate Google Analytics course + 50 practical examples"
Description
The course follows the previous one "Ultimate Google Analytics course + 50 practical examples" and is designed for all of you who already spent some time in Google Analytics and want to enrich your current knowledge. I assume you know how the session is defined and who/what user is :). The course will cover topics such as Attribution, Assisted conversions, Top conversion paths, Scopes or a couple of custom things like dimensions and metrics, alerts or reports. We'll explain how and why the volume of sessions and clicks differs and if you evaluate paid campaigns from tools like Google Ads or Facebook Ads you will be surprised how misleading data you're driven by.
Overview
Section 1: Attribution
Lecture 1 Attribution INTRO
Lecture 2 Parallel between attribution and soccer
Lecture 3 Attribution - traffic sources example
Lecture 4 Attribution and Model comparison tool setup
Lecture 5 Available attribution models
Lecture 6 How to use attribution models
Lecture 7 Attribution and landing pages
Lecture 8 Attribution and page value
Lecture 9 Attribution and device categories
Section 2: Platforms discrepancies
Lecture 10 Platforms discrepancies - INTRO
Lecture 11 Sessions discrepancies
Lecture 12 Conversions discrepancies
Section 3: Scopes
Lecture 13 Scopes - INTRO
Lecture 14 Theory - What scopes are?
Lecture 15 How data is processed
Lecture 16 Scopes application
Section 4: Custom dimensions and metrics
Lecture 17 Custom dimensions and metrics - INTRO
Lecture 18 Theory - what are custom dimensions and metrics?
Lecture 19 Practical examples
Lecture 20 How to set it up in Google Analytics interface
Section 5: Custom reports
Lecture 21 Custom reports - INTRO
Lecture 22 Explorer
Lecture 23 Flat table
Lecture 24 Map overlay
Section 6: Assisted conversions
Lecture 25 Assisted conversions - INTRO
Lecture 26 Theory - how do assisted conversions work?
Lecture 27 Practical examples from Google Analytics interface
Section 7: Events
Lecture 28 Events - INTRO
Lecture 29 Theory - What events are?
Lecture 30 Practical examples
Section 8: Regular expressions
Lecture 31 Regular expressions - INTRO
Lecture 32 What are regular expressions?
Lecture 33 Examples from the interface
Section 9: Top conversion paths
Lecture 34 Top conversion paths - INTRO
Lecture 35 Practical usage
Section 10: Filters
Lecture 36 Filters - INTRO
Lecture 37 How to use filters
Section 11: Calculated metrics
Lecture 38 Calculated metrics - INTRO
Lecture 39 Setup and practical usage of calculated metrics
Section 12: Custom channel grouping
Lecture 40 Custom channel grouping - INTRO
Lecture 41 How to create custom channel grouping
Section 13: Custom alerts
Lecture 42 Custom alerts - INTRO
Lecture 43 How to use them
Section 14: Automation in Google spreadsheets
Lecture 44 Automation in Google spreadsheets - INTRO
Lecture 45 How to create automated spreadsheet report
Section 15: What's next?
Lecture 46 NEW course - Google Analytics reports in Google spreadsheets
Google Analytics users who already know a bit more than how interface looks like :).


Homepage

https://www.udemy.com/course/advanced-google-analytics-course-77-practical-questions/