Google Analytics 4 tutorial 2021 (1 hour GA4 course)
This 1 hour course provides an introduction to Google Analytics 4, including how to create a property, an overview of the Admin panel, a demo account, and reports such as Home + Insights, Realtime, and Acquisition. It also covers how to use the data to make informed decisions. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
- Intro
- Create Google Analytics 4 property
- Overview of the Admin panel in Google Analytics 4
- Google Analytics demo account
- Google Analytics 4 reports - Home + insights
- Google Analytics 4 realtime reports
- Acquisition reports
- Engagement reports
- Monetization reports
- Demographics and tech reports
- Conversions and events
- Analysis Hub
- Audiences in GA4
- DebugView
- Install Google Analytics 4 with GTM
- Running Google Analytics 4 and Universal Analytics in Parallel
- Enhanced Measurement + Register Custom Dimension
- Track custom events with GA4
- Configure conversions in GA4
- Additional tagging options in Google Analytics 4
- Final words + next steps
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This one-hour Google Analytics 4 tutorial course provides an overview of the new Google Analytics 4 platform. Participants will learn how to create a Google Analytics 4 property, navigate the Admin panel, and explore the various reports available. They will also learn how to install Google Analytics 4 with Google Tag Manager, run Google Analytics 4 and Universal Analytics in parallel, and track custom events with GA4. Finally, participants will learn how to configure conversions in GA4 and explore additional tagging options. By the end of the course, participants will have a better understanding of the new Google Analytics 4 platform and how to use it to track and analyze website data.
[Applications]
After completing this Google Analytics 4 tutorial, users can apply their knowledge to their own websites and digital properties. They can use the Google Analytics 4 Admin panel to set up their own Google Analytics 4 property, create custom events and dimensions, and track conversions. They can also use the Analysis Hub to gain insights into their website performance and use the Audiences feature to better understand their user base. Additionally, users can use the DebugView to troubleshoot any issues they may encounter.
[Career Paths]
1. Digital Marketing Analyst: Digital marketing analysts are responsible for analyzing data from digital marketing campaigns and providing insights to help improve the effectiveness of campaigns. They use data from Google Analytics 4 to track website performance, user engagement, and conversions. They also use this data to identify trends and develop strategies to optimize campaigns.
2. Data Scientist: Data scientists use data from Google Analytics 4 to develop predictive models and uncover insights that can be used to improve business decisions. They use machine learning algorithms to analyze data and develop insights that can be used to optimize campaigns and improve customer experience.
3. UX/UI Designer: UX/UI designers use data from Google Analytics 4 to understand user behavior and develop user interfaces that are optimized for user engagement. They use data to identify user needs and develop designs that are tailored to meet those needs.
4. Digital Advertising Specialist: Digital advertising specialists use data from Google Analytics 4 to optimize campaigns and improve the effectiveness of digital advertising. They use data to identify trends and develop strategies to maximize the return on investment for digital advertising campaigns.
[Education Paths]
1. Bachelor of Science in Data Science: Data Science is a rapidly growing field that combines mathematics, statistics, computer science, and other disciplines to analyze and interpret large datasets. This degree path provides students with the skills and knowledge to develop and apply data-driven solutions to real-world problems. Developing trends in this field include the use of machine learning and artificial intelligence to automate data analysis and the use of big data to gain insights into customer behavior.
2. Master of Science in Business Analytics: Business Analytics is a field that focuses on the use of data and analytics to improve business performance. This degree path provides students with the skills and knowledge to develop and apply data-driven solutions to business problems. Developing trends in this field include the use of predictive analytics to anticipate customer needs and the use of data visualization to communicate insights.
3. Master of Science in Artificial Intelligence: Artificial Intelligence is a rapidly growing field that focuses on the development of computer systems that can think and act like humans. This degree path provides students with the skills and knowledge to develop and apply AI-driven solutions to real-world problems. Developing trends in this field include the use of deep learning to automate decision-making and the use of natural language processing to understand customer conversations.
4. Master of Science in Data Science and Machine Learning: Data Science and Machine Learning is a field that combines data science and machine learning to develop and apply predictive models to real-world problems. This degree path provides students with the skills and knowledge to develop and apply data-driven solutions to real-world problems. Developing trends in this field include the use of deep learning to automate decision-making and the use of natural language processing to understand customer conversations.
Course Provider
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