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Carma Baughman

In this project, you will learn how to connect your website to Google Analytics. You will be able to use Google Analytics to understand how your website is performing. You will become familiar with the Google Analytics interface and the standard reports to better understand your website audience. You will learn how to interpret this data to improve your website performance and effectiveness.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Getting Started in Google Analytics
In this project, you will learn how to connect your website to Google Analytics. You will be able to use Google Analytics to understand how your website is performing. You will become familiar with the Google Analytics interface and the standard reports to better understand your website audience. You will learn how to interpret this data to improve your website performance and effectiveness.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches Google Analytics, which is a useful tool
Introduces standard reports, which are a key aspect of understanding website performance
Examines website key metrics, which are essential for improving website effectiveness
Designed for learners residing in North America, which limits accessibility
Requires familiarity with Google Analytics to fully benefit, which may not be suitable for complete beginners

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Reviews summary

Productive analytics

learners say this course is largely positive, provides a strong foundation, and has engaging assignments. It teaches hands-on skills in Google Analytics, starting with a guided project and a demo account. Students can learn about website traffic, analytics reports, conversions, and e-commerce tracking. Rhyme, the guided project platform, receives mixed feedback. Some find it helpful, while others experience technical issues or an outdated interface. The course is recommended for beginners and those looking to enhance their digital marketing skills.
The course includes practical exercises and assignments to reinforce the concepts and help learners apply their knowledge.
"very easy for understand, because my english so weak but I can understand all the information, thank you!!"
"This course helps me to deep understanding what data are talking about."
"I learned some good stuff to help me either help others, or to develop my own website."
"The information and content was well presented and the course was interactive to help the user review the theory while also practicing with a demo account."
The course is a good starting point for those who are new to Google Analytics. It provides a solid foundation in the basics.
"Excellent for beginners!"
"The perfect guided project to begin learning Google Analytics!"
"This is a great course for a beginner."
"Just Nice for beginer. Need to review and do more practice"
The guided project, despite some issues, allows learners to practice their skills and follow along with the instructor.
"The perfect guided project to begin learning Google Analytics!"
"It was a great experience to learn Google Analytics with Coursera guided project."
"This course is so detailed and easy to understand. Speaking of mentor, Ms. Carma was so amazing!"
The course content and videos are outdated. This can make it difficult to follow along and apply the lessons to a current version of Google Analytics.
"Videos and instructions need updating to GA4. Still teaching the old way."
"The website and menus have changed since the videos were made, but otherwise, it's a good guided project."
"Google updated their analytics page so its hard to follow what the instructor was doing. not recommended"
"The first step of the course is already confusing since the guided project does not share a similar screen or workspace as displayed in the cloud workspace itself."
Rhyme, the guided project platform, is unreliable for some and difficult to navigate. The outdated interface can be frustrating.
"I​ wanted to unenroll but don't know how"
"what the instructor display video instructs does not match my screen at all. "
"couldn't access the rhyme guided project interphase after only 10 secs. it kept saying session ended."
"So I have to put trash test project into my real account, just to set it up for nothing, since all is then covered on demo account."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started in Google Analytics with these activities:
Connect with Google Analytics experts
Enhance your learning by seeking mentorship from experienced Google Analytics professionals.
Show steps
  • Identify potential mentors in the field
  • Reach out to mentors and express interest in their guidance
  • Schedule regular meetings to ask questions and receive feedback
  • Apply mentor feedback to improve your website data measurement
Present your Google Analytics insights to a mock audience
Solidify your knowledge by presenting your Google Analytics findings to a mock audience.
Show steps
  • Determine a specific business scenario
  • Analyze relevant Google Analytics data
  • Develop insights and recommendations based on your analysis
  • Create a presentation to convey your findings
  • Present your findings to a group and address their questions
Analyze Google Analytics reports
Work through practice problems to test your ability to analyze website traffic and interpret your findings.
Browse courses on Website Traffic Analysis
Show steps
  • Identify the key metrics on the Audience Overview report
  • Summarize the traffic acquisition channels for a given period
  • Analyze the user flow to identify potential areas for improvement
  • Identify the top-performing content on your website
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to the Google Analytics open-source community
Deepen your understanding by actively contributing to the Google Analytics open-source community.
Show steps
  • Explore existing open-source projects related to Google Analytics
  • Identify areas where you can make meaningful contributions
  • Submit bug reports or feature requests
  • Collaborate with other developers on code improvements

Career center

Learners who complete Getting Started in Google Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is someone who analyzes data to find trends and patterns. They use this information to help businesses make better decisions. Google Analytics is a powerful tool that can help Data Analysts collect and analyze data from their website. This course can help you learn how to use Google Analytics to improve your website performance and effectiveness.
Web Analyst
A Web Analyst is someone who analyzes data from a website to understand how users interact with it. This information can be used to improve the website's design, content, and marketing strategy. Google Analytics is a valuable tool for Web Analysts, as it can provide them with insights into how users are finding and using their website.
Digital Marketing Manager
A Digital Marketing Manager is someone who plans and executes marketing campaigns across various digital channels. Google Analytics is an important tool for Digital Marketing Managers, as it can help them track the results of their campaigns and make adjustments as needed.
Search Engine Optimization (SEO) Specialist
An SEO Specialist is someone who optimizes websites to improve their visibility in search engine results pages (SERPs). Google Analytics can be a helpful tool for SEO Specialists, as it can provide them with data on how users are finding their website and what keywords they are using.
Content Marketing Manager
A Content Marketing Manager is someone who creates and manages content that is designed to attract and engage customers. Google Analytics can help Content Marketing Managers track the performance of their content and see how it is impacting their website traffic.
Social Media Manager
A Social Media Manager is someone who plans and executes social media campaigns. Google Analytics can help Social Media Managers track the results of their campaigns and see how they are impacting their website traffic.
E-commerce Manager
An E-commerce Manager is someone who manages an online store and is responsible for its growth and profitability. Google Analytics can help E-commerce Managers track the performance of their store and see how customers are interacting with it.
Project Manager
A Project Manager is someone who plans and executes projects. Google Analytics can be a helpful tool for Project Managers, as it can help them track the progress of their projects and identify any potential issues.
Business Analyst
A Business Analyst is someone who analyzes business processes and identifies areas for improvement. Google Analytics can be a helpful tool for Business Analysts, as it can provide them with data on how customers are interacting with their business.
Marketing Research Analyst
A Marketing Research Analyst is someone who conducts research to understand the needs and wants of customers. Google Analytics can be a helpful tool for Marketing Research Analysts, as it can provide them with data on how customers are interacting with their products and services.
Sales Manager
A Sales Manager is someone who manages a sales team and is responsible for achieving sales goals. Google Analytics can be a helpful tool for Sales Managers, as it can provide them with data on how customers are interacting with their products and services.
Customer Success Manager
A Customer Success Manager is someone who helps customers achieve success with a product or service. Google Analytics can be a helpful tool for Customer Success Managers, as it can provide them with data on how customers are using their product or service.
Product Manager
A Product Manager is someone who manages the development and launch of a product. Google Analytics can be a helpful tool for Product Managers, as it can provide them with data on how customers are using their product.
Data Scientist
A Data Scientist is someone who uses data to solve business problems. Google Analytics can be a helpful tool for Data Scientists, as it can provide them with data on how customers are interacting with a business.
Software Engineer
A Software Engineer is someone who designs, develops, and maintains software. Google Analytics may not be directly relevant to the work of a Software Engineer, but it can be a helpful tool for understanding how users interact with a software product.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started in Google Analytics.
A classic text on web analytics, providing a comprehensive overview of the field and its best practices.
Provides a comprehensive overview of Google Analytics, covering the basics of setting up and using the platform to track website traffic and performance.
Provides a detailed overview of web analytics concepts and techniques, and it includes case studies and examples from real-world businesses.
Provides a basic overview of Google Analytics concepts and features, and it good choice for beginners who are new to Google Analytics.
Provides a basic overview of statistics concepts and techniques, and it good choice for beginners who are new to statistics.
Provides a basic overview of machine learning concepts and techniques, and it good choice for beginners who are new to machine learning.
Provides a basic overview of artificial intelligence concepts and techniques, and it good choice for beginners who are new to artificial intelligence.
Provides a basic overview of deep learning concepts and techniques, and it good choice for beginners who are new to deep learning.
Provides a basic overview of natural language processing concepts and techniques, and it good choice for beginners who are new to natural language processing.
Provides a basic overview of computer vision concepts and techniques, and it good choice for beginners who are new to computer vision.

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