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In this GA4 training course, learn how to setup Google Analytics 4 (GA4) and get the most out of it right away. Google Analytics has been around since the introduction in 2005, and in that time it’s helped small businesses and enterprises alike derive value from data that’s generated with web traffic. But with the release of Google Analytics 4 (GA4), the way of analyzing your data has changed significantly, with updates to everything from the user interface, reports, data models, custom metrics, custom events, to capabilities and implementation.
Included In This Course
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Certificate of Completion
Course Description
In this GA4 training, you will learn how to setup Google Analytics 4 (GA4) and get the most out of it right away. Google Analytics is key to achieving maximum benefit from your marketing efforts. Google Analytics has been around since the introduction in 2005, and in that time it’s helped small businesses and enterprises alike derive value from data that’s generated with web traffic. On July 1, 2023, Google will retire Universal Analytics and replace it with the newest GA4 version. With the release of Google Analytics 4 (GA4), the way of analyzing your data has changed significantly, with updates to everything from the user interface, reports, data models, custom metrics, custom events, to capabilities and implementation.
Within this GA4 training, you’ll learn how to set up GA4 to provide comprehensive and actionable insights—and discover tips and tricks that will help you and your team articulate your goals, increase conversions, track your goals (via tracking), and use custom reports improve your business. Focusing on the measurement reporting sections that have the greatest impact on digital products, you’ll find out how to get to the relevant data, create custom reports, use dimensions, understand your audiences, analyze it, and even export it outside Google Analytics (like Google Data Studio) or investigate further with BigQuery. And users can now leverage enterprise features that were previously only available in Google Analytics 360: for example, BigQuery integration, funnels, and upsampled data are now available to everyone at no cost.
Are you looking to take the Google Analytics 4 exam to gain a google analytics 4 certification? To ensure success on the Google Analytics exam, ITU provides comprehensive review materials and practice questions in our GA4 training to help you excel and become a specialist in your organization. With ITU’s materials in hand, don’t be surprised when your knowledge of Google Analytics 4 exceeds all expectations. ITU’s self-paced IT GA4 Training makes it easy to prepare for success – no matter your current level of experience, we are here to prepare you for your google analytics 4 certification . Get ready to take your knowledge of Google Analytics 4 to the next level.
And if you’re interested in taking the Google Analytics exam, in our GA4 training you’ll also get a concise reference guide and practice questions to help you prepare.
The GA4 Training course provided by ITU Online focuses on mastering Google Analytics 4. Below is a list of key terms relevant to this training:
Term | Definition |
---|---|
Google Analytics 4 (GA4) | The latest version of Google’s web analytics service, offering advanced features for tracking and analyzing website and app data. |
Universal Analytics | The previous version of Google Analytics, which GA4 replaces. |
Event-Based Data Model | A data structure in GA4 where interactions are tracked as events. |
Cross-Device Tracking | The ability to track user interactions across different devices. |
Custom Metrics | User-defined measurements to track specific user interactions in GA4. |
Custom Events | User-defined events to track specific actions or behaviors in GA4. |
Machine Learning | Technology used in GA4 for advanced data analysis and prediction. |
BigQuery Integration | A feature in GA4 allowing data export to Google’s BigQuery for advanced analysis. |
Data Privacy | Features and considerations in GA4 designed to enhance user data protection. |
Tag Manager | A tool for managing and deploying marketing tags on a website without modifying the code. |
Conversion Tracking | The process of tracking user actions that are valuable to a business. |
Data Studio Integration | The ability to use GA4 data in Google Data Studio for custom reporting and visualization. |
Attribution Modeling | The practice of determining the role of different marketing channels in conversions. |
Session-Based Data Model | The data structure used in Universal Analytics to group user interactions. |
Reporting Interface | The part of GA4 where data is visualized and reports are generated. |
Audience Creation | The process of defining groups of users based on behavior for targeted analysis or marketing. |
Google Ads Integration | The ability to use GA4 data for audience targeting in Google Ads. |
User Interface | The design and layout of GA4’s platform for user interaction. |
Digital Analytics | The analysis of quantitative and qualitative data from business websites and apps. |
Predictive Audiences | GA4 feature that uses machine learning to predict future user behaviors. |
This list covers essential aspects of GA4, providing a foundational understanding for professionals engaging in digital analytics and marketing.
Google Universal Analytics (UA) and Google Analytics 4 (GA4) are two different versions of Google Analytics. The main differences between them are:
Data Collection: GA4 uses an event-based data model, which means that all user interactions on a website or app are tracked as events. UA, on the other hand, uses a session-based data model, which groups user interactions into sessions.
Cross-Device Tracking: GA4 has better cross-device tracking capabilities than UA. It uses machine learning to analyze user data and identify patterns that can help track users across multiple devices.
Reporting: GA4 has a new reporting interface that is more user-friendly and customizable than UA’s reporting interface. It also includes new reports that provide more detailed insights into user behavior.
Integration with Google Ads: GA4 has better integration with Google Ads than UA. It allows users to create audiences based on user behavior and target them with ads on Google Ads.
User Privacy: GA4 is designed to be more privacy-friendly than UA. It includes features like data deletion on request and an option to disable data sharing with Google.
Overall, GA4 is a more advanced and modern version of Google Analytics that provides better insights into user behavior and has more advanced features than UA.
Google will stop collecting data for use in Univeral Analytics on July 1, 2023. All sites using Google Analytics will be migrated to the new GA4 platform.
Google is phasing out the old Universal Analytics platform in favor of GA4, which has more advanced features and better integration with other Google products.
Anyone who uses Google Analytics to monitor and make critical business decision based on analytics will greatly benefit from the training. Business owners, marketers and data analysts will have a more compehensive understanding to unleash the power of information provided by GA4.
Course Outline
Joe Holbrook has been in the IT field since 1993 when he was exposed to several HPUX systems on board a U.S. Navy flagship. He has migrated from UNIX world to Storage Area Networking(SAN), Enterprise Virtualization, Cloud Architectures, and now specializing in Blockchain and Cryptocurrency. He previously worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis.net, Chematch.com, SAIC and Siemens Nixdorf.
Currently he works as a Subject Matter Expert specializing in Enterprise Cloud and Blockchain Technologies. He is the CLO of Techcommanders.com Elearning and consulting, He holds numerous IT certifications from AWS, GCP, HDS and other organizations.
He is an avid speaker and well-known course author residing in Jacksonville, Florida.
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The Google Cloud Digital Leader Certification is one of Google’s newest certifications. I am really excited by this certification since the certification brings Google to the same table as AWS/Azure when it comes to entry level certifications.
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With this course, you will be able to become an expert in employing both engines within a company’s infrastructure. Analysis Services is composed of two powerful applications – VertiPaq and Data Mining for multidimensional cubes, as well as xVelocity for Tabular Data Models. It provides enterprise-level semantic data modeling abilities to construct business intelligence systems such as Power BI, Excel Reporting Services and other information visualization tools that can make your organization even more successful!
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This Course will teach students how to master Google Analytics; from the basics all the way through the most advanced features. Once complete, students will be masters at reporting, behavioral data, audience conversion and will have an extremely well-rounded knowledge base with this software.
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