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Customer Data Analytics for Marketers
Tony Cox, Jr.
Tony Cox, Jr.
This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies. The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions. It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis. The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation. This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights.
Register for this course and see more details by visiting:
OpenCourser.com/course/9dr00w/customer
What's inside
Syllabus
Introduction to Data Analytics for Marketing Decisions
Dive into the world of marketing data analytics and discover how it revolutionizes customer understanding and business growth. Learn to differentiate between analytics types and develop reports that transform data into actionable marketing strategies, increasing customer lifetime value and business success.
Read more
Syllabus
Introduction to Data Analytics for Marketing Decisions
Dive into the world of marketing data analytics and discover how it revolutionizes customer understanding and business growth. Learn to differentiate between analytics types and develop reports that transform data into actionable marketing strategies, increasing customer lifetime value and business success.
Read more
Data Analytics & Critical Thinking
Unlock the power of statistical concepts to drive smarter marketing decisions. This module empowers you with the skills to interpret data correctly, avoid common pitfalls, and apply critical thinking to uncover deeper insights from your marketing data.
Hypothesis Testing, Correlation, and Regression
Master key statistical techniques to elevate your marketing strategies. Learn hypothesis testing, understand correlations, and delve into regression analysis, all while maintaining ethical standards in analytics for credible, impactful results.
Correlation and Causality
Explore the intricate relationship between correlation and causality in marketing. Gain skills in advanced correlation analysis and Structural Equation Modeling (SEM) to make informed, data-driven decisions that effectively navigate the complexities of the marketing world.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Tony Cox, Jr., an expert in marketing data analytics and analytics ethics
Offers a solid grounding in key statistical concepts for marketing decisions
Covers advanced correlation analysis and Structural Equation Modeling (SEM)
Provides practical insights into how to interpret data and make evidence-based marketing decisions
May require prior knowledge in statistics and marketing
Save this course
Save Customer Data Analytics for Marketers 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 Customer Data Analytics for Marketers with these
activities:
Review calculus
Show steps
Review the fundamentals of calculus, such as differentiation and integration, to strengthen your mathematical foundation for this course.
Browse courses on
Calculus
Show steps
-
Review the basic concepts of calculus, such as limits, derivatives, and integrals.
-
Practice solving calculus problems involving functions, graphs, and applications.
-
Complete practice problems and exercises to reinforce your understanding of calculus concepts.
Read 'Marketing Analytics: Data-Driven Techniques with Microsoft Excel'
Show steps
Gain practical insights into marketing data analysis techniques by reading this comprehensive book that covers both fundamental concepts and real-world applications.
View
Marketing Analytics: Data-Driven Techniques...
on Amazon
Show steps
-
Read the book thoroughly, taking notes and highlighting key concepts.
-
Complete the practice exercises and case studies provided in the book.
-
Apply the learned techniques to analyze your own marketing data.
Attend a marketing analytics conference or meetup
Show steps
Connect with professionals in the field of marketing analytics, exchange ideas, and learn about the latest trends and advancements.
Browse courses on
Marketing Analytics
Show steps
-
Identify a relevant marketing analytics conference or meetup.
-
Register and attend the event.
-
Network with attendees, share your knowledge, and learn from others.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow online tutorials on statistical analysis
Show steps
Enhance your understanding of statistical concepts and tools by following guided tutorials that provide step-by-step instructions and examples.
Browse courses on
Statistical Analysis
Show steps
-
Identify online tutorials that align with the statistical concepts covered in the course.
-
Follow the tutorials, taking notes and practicing the techniques demonstrated.
-
Apply the learned statistical methods to analyze real-world marketing data.
Design and execute a marketing campaign for a real-world product or service
Show steps
Apply your understanding of correlation and causality to make data-driven decisions and analyze the effectiveness of your campaign.
Show steps
-
Identify a campaign goal and target audience
-
Develop a marketing strategy and budget
-
Collect and analyze data to monitor progress
-
Evaluate results and make adjustments as needed
Solve practice problems on correlation and causality
Show steps
Develop a strong foundation in correlation and causality by solving numerous practice problems that test your understanding and critical thinking.
Browse courses on
Correlation
Show steps
-
Gather practice problems on correlation and causality from textbooks, online resources, or the course materials.
-
Solve the problems, carefully analyzing the data and applying statistical techniques to draw conclusions.
-
Review your solutions and identify areas where you need further clarification.
Develop a data visualization dashboard for marketing insights
Show steps
Create a visually compelling and interactive dashboard that showcases key marketing metrics and insights for monitoring and decision-making.
Browse courses on
Data Visualization
Show steps
-
Identify the key marketing metrics and data sources.
-
Select appropriate visualization techniques to present the data effectively.
-
Create the interactive dashboard using a data visualization tool.
-
Share the dashboard with stakeholders and gather feedback.
Develop a marketing campaign based on data analysis
Show steps
Apply the concepts learned in the course to create a comprehensive marketing campaign that is informed by data-driven insights and analysis.
Browse courses on
Marketing Analytics
Show steps
-
Identify a marketing problem or opportunity to address.
-
Collect and analyze relevant marketing data to gain insights into customer behavior.
-
Develop a marketing campaign strategy based on the data analysis.
-
Create and execute the marketing campaign.
-
Monitor and evaluate the effectiveness of the campaign.
Participate in a marketing analytics competition
Show steps
Engage in a competitive environment where you can showcase your skills and knowledge in marketing analytics against other participants.
Browse courses on
Marketing Analytics
Show steps
-
Identify a relevant marketing analytics competition that aligns with your interests and skill level.
-
Form a team or work individually to develop a solution to the competition's challenge.
-
Submit your solution and present it to a panel of judges.
Review calculus
Show steps
Review the fundamentals of calculus, such as differentiation and integration, to strengthen your mathematical foundation for this course.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Review the basic concepts of calculus, such as limits, derivatives, and integrals.
- Practice solving calculus problems involving functions, graphs, and applications.
- Complete practice problems and exercises to reinforce your understanding of calculus concepts.
Read 'Marketing Analytics: Data-Driven Techniques with Microsoft Excel'
Show steps
Gain practical insights into marketing data analysis techniques by reading this comprehensive book that covers both fundamental concepts and real-world applications.
View
Marketing Analytics: Data-Driven Techniques...
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, taking notes and highlighting key concepts.
- Complete the practice exercises and case studies provided in the book.
- Apply the learned techniques to analyze your own marketing data.
Attend a marketing analytics conference or meetup
Show steps
Connect with professionals in the field of marketing analytics, exchange ideas, and learn about the latest trends and advancements.
Browse courses on
Marketing Analytics
Show steps
Show steps
Show steps
- Identify a relevant marketing analytics conference or meetup.
- Register and attend the event.
- Network with attendees, share your knowledge, and learn from others.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow online tutorials on statistical analysis
Show steps
Enhance your understanding of statistical concepts and tools by following guided tutorials that provide step-by-step instructions and examples.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Identify online tutorials that align with the statistical concepts covered in the course.
- Follow the tutorials, taking notes and practicing the techniques demonstrated.
- Apply the learned statistical methods to analyze real-world marketing data.
Design and execute a marketing campaign for a real-world product or service
Show steps
Apply your understanding of correlation and causality to make data-driven decisions and analyze the effectiveness of your campaign.
Show steps
Show steps
Show steps
- Identify a campaign goal and target audience
- Develop a marketing strategy and budget
- Collect and analyze data to monitor progress
- Evaluate results and make adjustments as needed
Solve practice problems on correlation and causality
Show steps
Develop a strong foundation in correlation and causality by solving numerous practice problems that test your understanding and critical thinking.
Browse courses on
Correlation
Show steps
Show steps
Show steps
- Gather practice problems on correlation and causality from textbooks, online resources, or the course materials.
- Solve the problems, carefully analyzing the data and applying statistical techniques to draw conclusions.
- Review your solutions and identify areas where you need further clarification.
Develop a data visualization dashboard for marketing insights
Show steps
Create a visually compelling and interactive dashboard that showcases key marketing metrics and insights for monitoring and decision-making.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the key marketing metrics and data sources.
- Select appropriate visualization techniques to present the data effectively.
- Create the interactive dashboard using a data visualization tool.
- Share the dashboard with stakeholders and gather feedback.
Develop a marketing campaign based on data analysis
Show steps
Apply the concepts learned in the course to create a comprehensive marketing campaign that is informed by data-driven insights and analysis.
Browse courses on
Marketing Analytics
Show steps
Show steps
Show steps
- Identify a marketing problem or opportunity to address.
- Collect and analyze relevant marketing data to gain insights into customer behavior.
- Develop a marketing campaign strategy based on the data analysis.
- Create and execute the marketing campaign.
- Monitor and evaluate the effectiveness of the campaign.
Participate in a marketing analytics competition
Show steps
Engage in a competitive environment where you can showcase your skills and knowledge in marketing analytics against other participants.
Browse courses on
Marketing Analytics
Show steps
Show steps
Show steps
- Identify a relevant marketing analytics competition that aligns with your interests and skill level.
- Form a team or work individually to develop a solution to the competition's challenge.
- Submit your solution and present it to a panel of judges.
Career center
Learners who complete Customer Data Analytics for Marketers will develop knowledge and skills
that may be useful to these careers:
Marketing Data Specialist
Marketing Data Specialist
Marketing Data Specialists collect, clean, and analyze marketing data. They use this information to help businesses understand their customers and make better marketing decisions. This course provides the skills to analyze marketing data, which is essential for success in this role.
Marketing Manager
Marketing Manager
Marketing Managers plan marketing campaigns and oversee their implementation. They analyze market trends and customer behavior to identify opportunities for growth. Customer Data Analytics for Marketers provides the skills to analyze marketing data and interpret results, which is essential for success in this role.
Campaign Manager
Campaign Manager
Campaign Managers are responsible for planning and executing marketing campaigns. They work with marketing teams to develop campaign strategies and oversee the implementation of those strategies. Customer Data Analytics for Marketers provides the skills to analyze campaign data and identify opportunities for improvement.
Brand Manager
Brand Manager
Brand Managers are responsible for developing and managing brands. They work with marketing teams to create and implement brand strategies. Customer Data Analytics for Marketers provides the skills to analyze brand data and identify opportunities for growth.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about markets, consumers, and competitors. They use this information to help businesses make informed decisions about product development, marketing campaigns, and pricing. This course provides the statistical concepts and tools necessary for success in Market Research.
Social Media Manager
Social Media Manager
Social Media Managers are responsible for developing and implementing social media strategies. They work with marketing teams to create and publish content, and they engage with customers on social media platforms. Customer Data Analytics for Marketers provides the skills to analyze social media data and identify opportunities for growth.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to help businesses make better decisions. Customer Data Analytics for Marketers provides the skills to analyze marketing data, which is essential for success in this role.
Marketing Consultant
Marketing Consultant
Marketing Consultants help businesses develop and implement marketing strategies. They analyze market trends and customer behavior to identify opportunities for growth. Customer Data Analytics for Marketers provides the skills to analyze marketing data and interpret results, which is essential for success in this role.
Content Marketer
Content Marketer
Content Marketers are responsible for creating and publishing content. They work with marketing teams to develop content strategies and create content that meets the needs of customers. Customer Data Analytics for Marketers provides the skills to analyze content data and identify opportunities for growth.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. They use data analysis to identify trends and patterns, and they develop recommendations for improvement. Customer Data Analytics for Marketers provides the skills to analyze marketing data, which is essential for success in this role.
Email Marketer
Email Marketer
Email Marketers are responsible for creating and implementing email marketing campaigns. They work with marketing teams to develop email strategies and create and send emails that engage customers. Customer Data Analytics for Marketers provides the skills to analyze email marketing data and identify opportunities for improvement.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with marketing teams to identify customer needs and develop products that meet those needs. Customer Data Analytics for Marketers provides the skills to analyze customer data and identify opportunities for new products.
Affiliate Marketer
Affiliate Marketer
Affiliate Marketers are responsible for promoting products or services of other businesses. They work with businesses to develop marketing campaigns and promote products or services to their own audiences. Customer Data Analytics for Marketers provides the skills to analyze affiliate marketing data and identify opportunities for growth.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. They develop sales strategies and oversee the implementation of those strategies. Customer Data Analytics for Marketers provides the skills to analyze sales data and identify opportunities for growth.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. They work with customers to identify and resolve problems, and they provide ongoing support.
For more career information including salaries, visit:
OpenCourser.com/course/9dr00w/customer
Reading list
We've selected six 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
Customer Data Analytics for Marketers.
Save
Provides a comprehensive overview of marketing analytics techniques and how to apply them using Microsoft Excel. It covers topics such as data collection, data analysis, and data visualization.
Provides a practical guide to marketing data science, covering topics such as data collection, data analysis, and data visualization.
Provides a practical guide to data mining, covering topics such as data collection, data analysis, and data visualization.
Provides a comprehensive overview of exploratory data analysis with R, covering topics such as data collection, data analysis, and data visualization.
Provides a comprehensive overview of customer analytics, covering topics such as data collection, data analysis, and data visualization.
Save
Provides a comprehensive overview of customer data analytics, covering topics such as data collection, data analysis, and data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9dr00w/customer
Share
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Effort
4 weeks of study
Level
Intermediate
Via
Coursera
Institution
University of Colorado System
Instructor
Tony Cox, Jr.
Language
English
This course belongs to a
collection
called
Data Science for Marketing. It's comprised of four courses:
- Machine Learning for Marketers
- Time, Change, and Decisions for Marketing
- Regression Modeling for Marketers
- Customer Data Analytics for Marketers (viewing)
Good to know
Taught by Tony Cox, Jr., an expert in marketing data analytics and analytics ethics
Offers a solid grounding in key statistical concepts for marketing decisions
Covers advanced correlation analysis and Structural Equation Modeling (SEM)
Provides practical insights into how to interpret data and make evidence-based marketing decisions
May require prior knowledge in statistics and marketing
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