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Anke Audenaert

This course lays the foundation of marketing analytics. You’ll learn the basic principles of marketing, the role data analysis plays in digital marketing and how data is collected and managed.

By the end of this course you will be able to:

• Describe how marketers use data to inform campaign decisions

• Describe the basic principles of marketing

• Identify why data analysis matters in digital marketing

• Implement the Meta pixel to capture data used to track visitor activity on a website

• Explain how an API connects data captured offline to an online platform

Read more

This course lays the foundation of marketing analytics. You’ll learn the basic principles of marketing, the role data analysis plays in digital marketing and how data is collected and managed.

By the end of this course you will be able to:

• Describe how marketers use data to inform campaign decisions

• Describe the basic principles of marketing

• Identify why data analysis matters in digital marketing

• Implement the Meta pixel to capture data used to track visitor activity on a website

• Explain how an API connects data captured offline to an online platform

• Describe common platforms for online data management and evaluation

• Navigate Google Analytics and Meta Ads Manager reports

• Explain the significance of the privacy regulations that govern the online marketing space

Regardless of your current marketing and analytics experience, this course will help you build a solid foundation for incorporating data into your marketing efforts.

Learners should have basic internet navigation skills and be eager to participate.

Enroll now

What's inside

Syllabus

The Importance of Analytics in Marketing
This week you will learn the importance of data and analytics in marketing and how they inform marketing decisions. You’ll also be briefly introduced to basic marketing principles.
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Marketing Data Sources
In week 2 you will gain an understanding of how data is collected and used in digital marketing. You will learn the difference between first, second and third party data and will get an overview of the Facebook pixel and its use.
Marketing Measurement and Analytics Tools
This week you will learn how spreadsheets are used to visualize and analyze data for marketing. You will be introduced to Google Analytics and Facebook Ads Manager and how these tools are used to provide data for marketers to analyze.
Data and Privacy
In the final week you will learn about the regulations around gathering and using online data and consumer’s rights.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches data analysis in digital marketing, which is standard in the industry
Provides a firm foundation for incorporating data into marketing campaigns
Examines Google Analytics and Meta Ads Manager, which are widely used in the industry
Develops an understanding of data privacy regulations, which are crucial in the online marketing space
Suitable for both beginners and those seeking to strengthen their marketing analytics foundation
Requires learners to have basic internet navigation skills, which most learners should already possess

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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 Marketing Analytics Foundation with these activities:
Read Principles of Marketing by Philip Kotler
Build a foundational understanding of fundamental concepts of marketing.
Show steps
  • Read
  • Take notes
  • Complete chapter exercises
Use Google Analytics Academy Course
Master the basics of Google Analytics through a structured and guided learning experience.
Browse courses on Data Analytics
Show steps
  • Enroll in the course
  • Watch video lectures
  • Complete practice exercises
Create a marketing strategy
Develop a comprehensive written plan for executing a marketing campaign based on your learning
Browse courses on Marketing Plan
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  • Define your target audience
  • Set marketing goals
  • Develop marketing strategies
  • Create a marketing budget
  • Track and evaluate your results
Two other activities
Expand to see all activities and additional details
Show all five activities
Participate in marketing competitions
Challenge yourself and gain practical experience by participating in marketing competitions.
Show steps
  • Research marketing competitions
  • Choose a competition
  • Prepare your submission
Contribute to open source marketing projects
Enhance your practical skills by contributing to real-world marketing projects on open source platforms.
Browse courses on Marketing Automation
Show steps
  • Identify open source marketing projects
  • Join the project community
  • Submit contributions

Career center

Learners who complete Marketing Analytics Foundation will develop knowledge and skills that may be useful to these careers:
Marketing Analyst
Marketing analysts use data analysis to help businesses understand their customers and make better marketing decisions. They collect, analyze, and interpret data to provide insights that can be used to improve marketing campaigns. This course helps those aspiring to become marketing analysts build a foundation in marketing analytics.
Digital Marketing Manager
A digital marketing manager specializes in using digital channels to market products and services. They use marketing analytics to track the performance of digital marketing campaigns and make data-driven decisions. This course helps build a solid foundation for those interested in becoming digital marketing managers.
Marketing Manager
A marketing manager's responsibilities include directing marketing campaigns and overseeing brand development. They analyze marketing data to understand trends and customer behavior, which help them make better decisions. Having a strong foundation in marketing analytics can be helpful for those who would like to work as marketing managers.
Data Analyst
Data analysts collect, clean, and interpret data to help businesses make better decisions. They may work on projects related to marketing, finance, or operations. This course can help those interested in becoming a data analyst build a foundation in data analysis.
Market Researcher
Market researchers collect and analyze data about markets and customers. They use this information to help businesses make better decisions about product development and marketing. This course can help those interested in becoming market researchers build a foundation in marketing analytics.
Operations Research Analyst
Operations research analysts use data analysis to help businesses solve problems and improve their operations. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become operations research analysts.
Business Analyst
Business analysts use data analysis to help businesses improve their operations and make better decisions. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become business analysts.
Data Scientist
Data scientists use data analysis to help businesses solve problems and make better decisions. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become data scientists.
Product Manager
Product managers are responsible for the development and marketing of products. They use data analysis to understand customer needs and make decisions about product features and marketing campaigns. This course may be useful for those who would like to become product managers.
Machine Learning Engineer
Machine learning engineers use data analysis to develop and implement machine learning models. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become machine learning engineers.
Management Consultant
Management consultants provide advice to businesses on how to improve their operations. They may work on projects related to marketing, finance, or operations. This course can help those interested in becoming management consultants build a foundation in data analysis.
Financial Analyst
Financial analysts use data analysis to help businesses make investment decisions. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become financial analysts.
Actuary
Actuaries use data analysis to help businesses assess and manage risks. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become actuaries.
Statistician
Statisticians use data analysis to help businesses understand data and make better decisions. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become statisticians.
Risk Analyst
Risk analysts use data analysis to help businesses identify and manage risks. They may work on projects related to marketing, finance, or operations. This course may be useful for those who would like to become risk analysts.

Reading list

We've selected eight 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 Marketing Analytics Foundation.
Provides a practical guide to using data analysis to improve digital marketing campaigns. It covers topics such as web analytics, social media analytics, and email marketing analytics.
Provides a comprehensive overview of data analytics for marketing, including topics such as data collection, data analysis, and data visualization. It also covers specific techniques for using Tableau for data analytics tasks.
Classic textbook on marketing management. It covers all the major topics in marketing, including marketing strategy, marketing research, and marketing communications.
Provides a practical guide to web analytics. It covers topics such as data collection, data analysis, and data visualization.
Provides a fun and easy-to-understand introduction to statistics. It covers topics such as data collection, data analysis, and data visualization.

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