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David LaFontaine
This course will cover how to use Google Analytics, to guide your creative choices. Aimed at creative pros who may be great with design tools, but shy away from spreadsheets, this course cuts through the jargon to deliver lessons that make sense.
Read more
This course will cover how to use Google Analytics, to guide your creative choices. Aimed at creative pros who may be great with design tools, but shy away from spreadsheets, this course cuts through the jargon to deliver lessons that make sense.
Read more
This course will cover how to use Google Analytics, to guide your creative choices. Aimed at creative pros who may be great with design tools, but shy away from spreadsheets, this course cuts through the jargon to deliver lessons that make sense.
Learn how to meld your human intuition and creativity with the latest data-analysis techniques, and transform yourself into a "Creative Data Scientist." This course, Google Analytics for Creative Professionals, will show you how to read and analyze web traffic, explaining things so that even the most "numbers-phobic" creative can grasp the basic concepts. First, you'll learn how to install analytics on your site and configure it so you see only the information that you need, without getting distracted by things like "Ghost Spam" that clutter up your report. Next, you'll learn how to connect the cold, hard numbers to your creative efforts, so that you can grow your audience by giving them more of what they like -- without missing the crucial insights that only a creative professional can have. Finally, you'll learn how to produce and share reports within your organization. By the end of this course, you'll be able to use both data and human creativity to come up with innovative solutions, helping you to become a "Creative Data Scientist."
Register for this course and see more details by visiting:
OpenCourser.com/course/kjhb6h/google
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What's inside
Syllabus
Course Overview
Google Analytics for Creative Professionals
Installing Google Analytics
Learning Google Analytics Dashboard
Read more
Syllabus
Course Overview
Google Analytics for Creative Professionals
Installing Google Analytics
Learning Google Analytics Dashboard
Read more
Analyzing Audience Behavior
Understanding User Acquisition
Generating and Sharing Reports
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides actionable insights to strengthen creative decision-making
Cuts through jargon to make data analysis accessible to non-technical learners
Teaches how to use Google Analytics to track and measure website performance
Empowers learners to identify audience preferences and tailor content accordingly
Develops foundational skills for data-driven decision-making in marketing and communication
Offers practical guidance on using Google Analytics to gain insights into website traffic and user behavior
Save this course
Save Google Analytics for Creative Professionals to your list so you can find it easily later:
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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 Google Analytics for Creative Professionals with these
activities:
Review Spreadsheets and Data Manipulation
Show steps
Refresh your skills in spreadsheets and data manipulation to enhance your ability to analyze data in Google Analytics.
Browse courses on
Spreadsheets
Show steps
-
Review basic spreadsheet functions and formulas.
-
Practice data cleaning and transformation techniques.
-
Explore advanced features such as pivot tables and charts.
Review high school algebra & statistics
Show steps
Review high school algebra & statistics to strengthen your understanding of these fundamental concepts, which underlie much of the learning in this course.
Browse courses on
Algebra
Show steps
-
Review the fundamental concepts of algebra, such as variables, equations, and functions.
-
Practice solving algebra problems, such as solving equations and graphing functions.
-
Review the fundamental concepts of statistics, such as probability, mean, median, and standard deviation.
-
Practice solving statistics problems, such as finding the mean and standard deviation of a data set.
Google Analytics Platform Principles Tutorial
Show steps
Review the basics of the Google Analytics platform to solidify foundational knowledge and prepare for the course.
Show steps
-
Navigate to the Google Analytics Academy platform.
-
Enroll in the Google Analytics Platform Principles course.
-
Complete the interactive tutorials and exercises.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Follow online machine learning tutorials
Show steps
Follow online machine learning tutorials to learn new concepts and techniques.
Browse courses on
Machine Learning
Show steps
-
Find an online machine learning tutorial.
-
Follow the tutorial instructions.
-
Complete the tutorial exercises.
-
Repeat steps 1-3 for other machine learning tutorials.
Connect with Google Analytics Experts
Show steps
Seek out mentors or experts in the field to provide guidance, support, and industry insights.
Show steps
-
Attend industry events or webinars.
-
Join online forums or communities.
-
Reach out to professionals on LinkedIn or other platforms.
-
Request informational interviews.
Attend a machine learning study group
Show steps
Attend a machine learning study group to learn from your peers and discuss machine learning concepts.
Browse courses on
Machine Learning
Show steps
-
Find a machine learning study group to join.
-
Attend the study group regularly.
-
Participate in discussions.
-
Help other members of the group.
Google Analytics Study Group
Show steps
Engage with peers to discuss course concepts, share insights, and collaborate on projects.
Show steps
-
Form a study group with other course participants.
-
Establish a regular meeting schedule.
-
Take turns presenting on different topics or case studies.
-
Provide feedback and support to group members.
Google Analytics Implementation Plan
Show steps
Develop a comprehensive plan for implementing Google Analytics on a website to ensure accurate data collection and analysis.
Show steps
-
Define tracking goals and objectives.
-
Select appropriate metrics and dimensions.
-
Configure tracking code and filters.
-
Establish reporting mechanisms and dashboards.
Read 'The Elements of Statistical Learning'
Show steps
Read 'The Elements of Statistical Learning' to supplement your understanding of machine learning concepts.
View
The Elements of Statistical Learning: Data...
on Amazon
Show steps
-
Read the first chapter of the book.
-
Summarize the main concepts of the chapter.
-
Complete the practice exercises at the end of the chapter.
-
Repeat steps 1-3 for the remaining chapters in the book.
Google Analytics Reporting API Exercises
Show steps
Practice working with the Google Analytics Reporting API to gain hands-on experience in data extraction and analysis.
Browse courses on
API Integration
Show steps
-
Set up a Google Analytics Reporting API project.
-
Create a service account and generate credentials.
-
Use a programming language (e.g., Python, R) to make API calls.
-
Experiment with different API methods to retrieve data.
Practice solving machine learning problems
Show steps
Practice solving machine learning problems to improve your understanding of the concepts and techniques.
Browse courses on
Machine Learning
Show steps
-
Find a set of machine learning problems to solve.
-
Write a program to solve the problems.
-
Test your program on the problems.
-
Repeat steps 1-3 until you can solve the problems efficiently.
Google Analytics Dashboard Design Case Study
Show steps
Create a customized Google Analytics dashboard to demonstrate your understanding of data visualization and reporting.
Show steps
-
Identify a specific business objective or use case.
-
Design a dashboard layout and select relevant metrics.
-
Configure widgets, filters, and segments to create visualizations.
-
Share the dashboard with stakeholders and gather feedback.
Write a blog post about a machine learning concept
Show steps
Write a blog post about a machine learning concept to improve your understanding of the concept and share your knowledge with others.
Browse courses on
Machine Learning
Show steps
-
Choose a machine learning concept to write about.
-
Research the concept.
-
Write a blog post about the concept.
-
Publish your blog post.
Participate in machine learning competitions
Show steps
Participate in machine learning competitions to test your skills and learn from others.
Browse courses on
Machine Learning
Show steps
-
Find a machine learning competition to participate in.
-
Read the competition rules and guidelines.
-
Develop a machine learning model to solve the competition problem.
-
Submit your model to the competition.
-
Track your progress and learn from others.
Compile a portfolio of your machine learning projects
Show steps
Compile a portfolio of your machine learning projects to showcase your skills and knowledge to potential employers or clients.
Browse courses on
Machine Learning
Show steps
-
Gather your machine learning projects.
-
Create a portfolio website or document.
-
Add your projects to your portfolio.
-
Share your portfolio with others.
Review Spreadsheets and Data Manipulation
Show steps
Refresh your skills in spreadsheets and data manipulation to enhance your ability to analyze data in Google Analytics.
Browse courses on
Spreadsheets
Show steps
Show steps
Show steps
- Review basic spreadsheet functions and formulas.
- Practice data cleaning and transformation techniques.
- Explore advanced features such as pivot tables and charts.
Review high school algebra & statistics
Show steps
Review high school algebra & statistics to strengthen your understanding of these fundamental concepts, which underlie much of the learning in this course.
Browse courses on
Algebra
Show steps
Show steps
Show steps
- Review the fundamental concepts of algebra, such as variables, equations, and functions.
- Practice solving algebra problems, such as solving equations and graphing functions.
- Review the fundamental concepts of statistics, such as probability, mean, median, and standard deviation.
- Practice solving statistics problems, such as finding the mean and standard deviation of a data set.
Google Analytics Platform Principles Tutorial
Show steps
Review the basics of the Google Analytics platform to solidify foundational knowledge and prepare for the course.
Show steps
Show steps
Show steps
- Navigate to the Google Analytics Academy platform.
- Enroll in the Google Analytics Platform Principles course.
- Complete the interactive tutorials and exercises.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Follow online machine learning tutorials
Show steps
Follow online machine learning tutorials to learn new concepts and techniques.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find an online machine learning tutorial.
- Follow the tutorial instructions.
- Complete the tutorial exercises.
- Repeat steps 1-3 for other machine learning tutorials.
Connect with Google Analytics Experts
Show steps
Seek out mentors or experts in the field to provide guidance, support, and industry insights.
Show steps
Show steps
Show steps
- Attend industry events or webinars.
- Join online forums or communities.
- Reach out to professionals on LinkedIn or other platforms.
- Request informational interviews.
Attend a machine learning study group
Show steps
Attend a machine learning study group to learn from your peers and discuss machine learning concepts.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a machine learning study group to join.
- Attend the study group regularly.
- Participate in discussions.
- Help other members of the group.
Google Analytics Study Group
Show steps
Engage with peers to discuss course concepts, share insights, and collaborate on projects.
Show steps
Show steps
Show steps
- Form a study group with other course participants.
- Establish a regular meeting schedule.
- Take turns presenting on different topics or case studies.
- Provide feedback and support to group members.
Google Analytics Implementation Plan
Show steps
Develop a comprehensive plan for implementing Google Analytics on a website to ensure accurate data collection and analysis.
Show steps
Show steps
Show steps
- Define tracking goals and objectives.
- Select appropriate metrics and dimensions.
- Configure tracking code and filters.
- Establish reporting mechanisms and dashboards.
Read 'The Elements of Statistical Learning'
Show steps
Read 'The Elements of Statistical Learning' to supplement your understanding of machine learning concepts.
View
The Elements of Statistical Learning: Data...
on Amazon
Show steps
Show steps
Show steps
- Read the first chapter of the book.
- Summarize the main concepts of the chapter.
- Complete the practice exercises at the end of the chapter.
- Repeat steps 1-3 for the remaining chapters in the book.
Google Analytics Reporting API Exercises
Show steps
Practice working with the Google Analytics Reporting API to gain hands-on experience in data extraction and analysis.
Browse courses on
API Integration
Show steps
Show steps
Show steps
- Set up a Google Analytics Reporting API project.
- Create a service account and generate credentials.
- Use a programming language (e.g., Python, R) to make API calls.
- Experiment with different API methods to retrieve data.
Practice solving machine learning problems
Show steps
Practice solving machine learning problems to improve your understanding of the concepts and techniques.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a set of machine learning problems to solve.
- Write a program to solve the problems.
- Test your program on the problems.
- Repeat steps 1-3 until you can solve the problems efficiently.
Google Analytics Dashboard Design Case Study
Show steps
Create a customized Google Analytics dashboard to demonstrate your understanding of data visualization and reporting.
Show steps
Show steps
Show steps
- Identify a specific business objective or use case.
- Design a dashboard layout and select relevant metrics.
- Configure widgets, filters, and segments to create visualizations.
- Share the dashboard with stakeholders and gather feedback.
Write a blog post about a machine learning concept
Show steps
Write a blog post about a machine learning concept to improve your understanding of the concept and share your knowledge with others.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Choose a machine learning concept to write about.
- Research the concept.
- Write a blog post about the concept.
- Publish your blog post.
Participate in machine learning competitions
Show steps
Participate in machine learning competitions to test your skills and learn from others.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a machine learning competition to participate in.
- Read the competition rules and guidelines.
- Develop a machine learning model to solve the competition problem.
- Submit your model to the competition.
- Track your progress and learn from others.
Compile a portfolio of your machine learning projects
Show steps
Compile a portfolio of your machine learning projects to showcase your skills and knowledge to potential employers or clients.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Gather your machine learning projects.
- Create a portfolio website or document.
- Add your projects to your portfolio.
- Share your portfolio with others.
Career center
Learners who complete Google Analytics for Creative Professionals will develop knowledge and skills
that may be useful to these careers:
Marketing Analytics Manager
Marketing Analytics Manager
In the role of Marketing Analytics Manager you will be monitoring digital marketing campaigns to measure effectiveness and success. Google Analytics for Creative Professionals will help you to build the skills needed to perform this type of analysis. This course covers how to read and analyze web traffic, including metrics like audience behavior, user acquisition, and revenue. These will be critical to your work in managing marketing analytics.
Web Analyst
Web Analyst
If your career goal is Web Analyst, it will be necessary to regularly analyze website traffic. Google Analytics for Creative Professionals will help you build the skills needed to do this type of analysis. This course covers how to read and analyze web traffic, including metrics like audience behavior, user acquisition, and revenue. These will be critical to your work in monitoring and analyzing website traffic to help improve the website's performance.
eCommerce Manager
eCommerce Manager
Ecommerce Managers monitor, analyze, and track website traffic to better understand and meet the needs of customers. Google Analytics for Creative Professionals will help you to build the skills needed to perform this type of analysis. This course will provide you with the ability to read and analyze web traffic, including metrics like audience behavior, user acquisition, and revenue. These will be critical to your work in managing an ecommerce business.
User Experience (UX) Researcher
User Experience (UX) Researcher
User Experience (UX) Researchers conduct research to improve the user experience of a product or service. Google Analytics for Creative Professionals will help you to build a foundation for this type of research. This course covers how to read and analyze web traffic, including metrics like audience behavior and user acquisition. These will be critical to your work in understanding user needs and behaviors to help improve the user experience.
Digital Marketing Manager
Digital Marketing Manager
As a Digital Marketing Manager you may focus on web analytics to help you make better marketing decisions. The skills you learn in Google Analytics for Creative Professionals will provide a strong foundation for the type of work you'll be doing in this role, helping you to understand things like audience behavior and user acquisition. These will be essential to your work in planning, executing, and analyzing digital marketing campaigns.
Product Manager
Product Manager
Product Managers need to be able to analyze data to make informed decisions about product development. Google Analytics for Creative Professionals will help you build the skills needed to perform this type of analysis. This course covers how to read and analyze web traffic, including metrics like audience behavior, user acquisition, and revenue. These will be critical to your work in managing the development and launch of products.
Market Research Analyst
Market Research Analyst
If you would like to become a Market Research Analyst, it is crucial that you are able to provide data-driven recommendations. Google Analytics for Creative Professionals covers web analytics, teaching you how to read and analyze web traffic. This can help build a foundation for the type of work you'll be doing in this role, where you will be gathering information on target markets and understanding their behavior.
Business Analyst
Business Analyst
Business Analysts use data analysis to solve business problems. Google Analytics for Creative Professionals will help you build the skills needed to perform this type of analysis. This course covers how to read and analyze web traffic, including metrics like audience behavior, user acquisition, and revenue. These will be critical to your work in identifying and solving business problems.
Data Analyst
Data Analyst
Data Analysts seek out, organize, and interpret data to derive meaningful insights from it. By taking the course Google Analytics for Creative Professionals you may strengthen your data analysis skills. This course covers how to use Google Analytics, a web analytics service, to help you read and analyze web traffic. This will provide you with the skills needed to transform yourself into a "Creative Data Scientist," combining your creativity with the latest data-analysis techniques. Whether you're seeking to break into the field of data analysis or looking to progress in it, this course may be of help to you.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems and build predictive models. Google Analytics for Creative Professionals may be useful if you're interested in gaining a better understanding of data analysis. This course covers how to read and analyze web traffic, including metrics like audience behavior and user acquisition. This will build a foundation for the type of work you'll be doing in this role.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Google Analytics for Creative Professionals may be useful if you're interested in gaining a better understanding of web analytics. This course covers how to read and analyze web traffic, which will provide a foundation for the type of work you'll be doing in this role.
Web Developer
Web Developer
Web Developers design and develop websites. Google Analytics for Creative Professionals may be useful if you're interested in gaining a better understanding of web analytics. This course covers how to read and analyze web traffic, which will provide a foundation for the type of work you'll be doing in this role.
Graphic designer
Graphic designer
Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. Google Analytics for Creative Professionals may be useful if you're interested in gaining a better understanding of how to use data to inform your creative work. This course covers how to read and analyze web traffic, providing you with insights into what your audience is interested in.
Copywriter
Copywriter
Copywriters write text for marketing and advertising materials. Google Analytics for Creative Professionals may be useful if you're interested in gaining a better understanding of how to use data to inform your writing. This course covers how to read and analyze web traffic, providing you with insights into what your audience is interested in.
Social Media Manager
Social Media Manager
Social Media Managers develop and execute social media strategies to promote a company or brand. Google Analytics for Creative Professionals may be useful if you're interested in gaining a better understanding of how to use data to inform your social media strategy. This course covers how to read and analyze web traffic, providing you with insights into what your audience is interested in.
For more career information including salaries, visit:
OpenCourser.com/course/kjhb6h/google
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
Google Analytics for Creative Professionals.
Save
Provides a comprehensive overview of web analytics, covering topics such as data collection, analysis, and reporting. It valuable resource for beginners who want to learn the basics of web analytics.
Save
Provides a practical guide to web analytics, covering topics such as setting up analytics tools, analyzing data, and using insights to improve website performance. It valuable resource for those who want to learn more about web analytics and how to use it effectively.
Provides a comprehensive overview of digital marketing analytics, covering topics such as data collection, analysis, and interpretation. It useful resource for those who want to learn more about how to use data to improve digital marketing campaigns.
Step-by-step guide to using Google Analytics. It covers all the basics, from setting up your account to tracking your website's traffic. It great resource for beginners who want to learn how to use Google Analytics to improve their website.
Provides a comprehensive introduction to Google Analytics, covering the basics of setting up and using the platform to track website traffic and user behavior. It useful reference for beginners who want to learn more about Google Analytics.
Gentle introduction to statistics. It covers all the basics, from data collection to data analysis. It great resource for beginners who want to learn the basics of statistics.
Save
Provides a comprehensive overview of marketing analytics, covering topics such as customer segmentation, marketing campaign analysis, and social media analytics. It valuable resource for beginners who want to learn the basics of marketing analytics.
Gentle introduction to machine learning. It covers all the basics, from data collection to model building. It great resource for beginners who want to learn the basics of machine learning.
Provides a comprehensive overview of social media analytics, covering topics such as social media data collection, analysis, and reporting. It valuable resource for beginners who want to learn the basics of social media analytics.
Save
Gentle introduction to deep learning. It covers all the basics, from data collection to model building. It great resource for beginners who want to learn the basics of deep learning.
Gentle introduction to artificial intelligence. It covers all the basics, from data collection to model building. It great resource for beginners who want to learn the basics of artificial intelligence.
Gentle introduction to computer vision. It covers all the basics, from data collection to model building. It great resource for beginners who want to learn the basics of computer vision.
Gentle introduction to natural language processing. It covers all the basics, from data collection to model building. It great resource for beginners who want to learn the basics of natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kjhb6h/google
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Time
207 hours
Level
Introductory
Via
Pluralsight
Instructor
David LaFontaine
Language
English
Good to know
Provides actionable insights to strengthen creative decision-making
Cuts through jargon to make data analysis accessible to non-technical learners
Teaches how to use Google Analytics to track and measure website performance
Empowers learners to identify audience preferences and tailor content accordingly
Develops foundational skills for data-driven decision-making in marketing and communication
Offers practical guidance on using Google Analytics to gain insights into website traffic and user behavior
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