OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Regression Modeling for Marketers

A.W. Lukens and Tony Cox, Jr.

"Regression Modeling for Marketers" is a specialized course designed to elevate marketing professionals' analytical skills. Focusing on regression analysis, the course enables learners to quantify, explain, and predict marketing outcomes using both simple and multiple linear regression models. This course stands out by not only teaching the creation and interpretation of market data visualizations but also showing the use of advanced statistical software for gaining marketing insights. Learners will explore sophisticated analytical techniques like ANOVA, ANCOVA, and MANCOVA, enhancing their ability to dissect the impact of marketing strategies. The course also covers logistic regression and multivariate testing, key tools for anticipating market shifts and consumer choices. Additionally, it emphasizes the application of uplift modeling for targeted and personalized marketing campaigns, making it an essential resource for contemporary marketers.

Enroll now

What's inside

Syllabus

Understanding Simple Linear Regression
Grasp the essentials of Simple Linear Regression to predict and influence market outcomes. This module guides you through creating insightful scatter plots and using statistical software, turning data into reliable, predictive tools for marketing success.
Read more
Interpreting SLR Output
Learn to decode SLR outputs, enhancing your ability to make precise marketing predictions. Understand the significance of regression coefficients and R-squared values in shaping marketing strategies that are both data-driven and impactful.
Beyond Simple Linear Regression (SLR)
Elevate your predictive modeling with advanced techniques. This module takes you beyond SLR, showing you how to incorporate multiple factors into your analyses for more nuanced and effective marketing insights.
Applying and Generalizing Multiple Linear Regression (MLR)
Discover the power of Multiple Linear Regression in understanding complex market dynamics. Learn to integrate diverse factors into your analysis, using advanced techniques like ANOVA and MANCOVA for deeper market insights and smarter marketing decisions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by A.W. Lukens and Tony Cox Jr., who are renowned for their expertise in marketing analytics
Provides a solid foundation for marketing professionals seeking to enhance their analytical skills
Develops proficiency in regression analysis, a fundamental technique for quantifying and interpreting marketing outcomes
Covers sophisticated analytical techniques like ANOVA, ANCOVA, and MANCOVA, empowering learners to analyze complex marketing data
Emphasizes practical applications, including uplift modeling for targeted marketing campaigns, making it highly relevant for contemporary marketers

Save this course

Save Regression Modeling for Marketers to your list so you can find it easily later:
Save

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 Regression Modeling for Marketers with these activities:
Review Multiple Linear Regression Concepts
Start by reviewing the basics of multiple linear regression concepts. This will help you refresh your knowledge and improve your understanding of the course material.
Browse courses on Multiple Linear Regression
Show steps
  • Revisit the assumptions of multiple linear regression
  • Recall the formula for the multiple regression equation
  • Review the different types of multiple regression models
Solve Multiple Regression Practice Problems
Solve multiple regression practice problems to reinforce your understanding of the concepts.
Browse courses on Multiple Linear Regression
Show steps
  • Find practice problems from your textbook or online resources
  • Attempt to solve the problems on your own
  • Check your solutions against the provided answer key
  • Review the solutions to identify any areas where you need further clarification
Mentor a Peer in Regression Analysis
Help a peer understand the concepts of regression analysis, and clarify any doubts they may have.
Browse courses on Regression Analysis
Show steps
  • Find a peer who needs help with regression analysis
  • Review the concepts of regression analysis together
  • Work through practice problems together
  • Provide feedback and support
Four other activities
Expand to see all activities and additional details
Show all seven activities
Complete an Online Tutorial on ANOVA
Complete an online tutorial on ANOVA to expand your knowledge of one of the advanced statistical techniques covered in the course.
Browse courses on ANOVA
Show steps
  • Identify an online tutorial on ANOVA
  • Follow the steps in the tutorial to understand the concepts of ANOVA
  • Complete the exercises in the tutorial to test your understanding
  • Review the materials from the tutorial to solidify your knowledge
Create a Visual Representation of a Multiple Regression Model
Create a visual representation of a multiple regression model to enhance your understanding of the relationships between variables.
Browse courses on Multiple Linear Regression
Show steps
  • Choose a regression model
  • Plot the data points
  • Fit the regression line
  • Create a scatterplot matrix
Read "Applied Regression Analysis and Generalized Linear Models"
Read a supplementary book on regression analysis to deepen your understanding of the subject and gain additional insights.
View An R Companion to Applied Regression on Amazon
Show steps
  • Obtain a copy of the book
  • Review the chapters on multiple linear regression and ANOVA
  • Complete the exercises at the end of each chapter
  • Discuss the concepts with your classmates or instructor
Attend a Workshop on Advanced Regression Techniques
Attend a workshop on advanced regression techniques to gain exposure to the latest developments in the field.
Browse courses on Regression Analysis
Show steps
  • Attend the workshop and participate actively
  • Find an upcoming workshop on advanced regression techniques
  • Register for the workshop
  • Review the materials from the workshop and apply what you learned

Career center

Learners who complete Regression Modeling for Marketers will develop knowledge and skills that may be useful to these careers:
Marketing Manager
Marketing Managers plan and execute all aspects of a marketing campaign, including market research, advertising, public relations, and customer service. The "Regression Modeling for Marketers" course helps Marketing Managers to quantify the impact of different marketing campaigns and make data-informed decisions. By understanding how to use regression analysis, Marketing Managers can allocate resources more effectively and improve campaign performance.
See salaries and explore the career path for Marketing Manager
Marketing Analyst
Marketing Analysts leverage analytics to track and evaluate marketing performance, providing actionable insights for more successful marketing campaigns. The "Regression Modeling for Marketers" course helps build a foundation in linear regression, a popular statistical technique for modeling cause-and-effect relationships. By understanding how to create and interpret regression models, Marketing Analysts can accurately predict marketing outcomes using data-driven decision-making.
See salaries and explore the career path for Marketing Analyst
Market Research Analyst
Market Research Analysts gather and analyze data on consumer behavior, market trends, and competitive strategies. The "Regression Modeling for Marketers" course helps Market Research Analysts understand consumer preferences and make informed recommendations for product development and marketing strategies. By learning how to use regression analysis, Market Research Analysts can identify relationships between variables and gain a deeper understanding of the market.
See salaries and explore the career path for Market Research Analyst
Consultant
Consultants provide expert advice and guidance to organizations on various aspects of their business, including marketing. The "Regression Modeling for Marketers" course helps Consultants to use data-driven insights to improve marketing performance. By understanding how to use regression analysis, Consultants can help organizations make better decisions.
See salaries and explore the career path for Consultant
Brand Manager
Brand Managers develop and execute marketing strategies to build and maintain brand awareness, reputation, and loyalty. The "Regression Modeling for Marketers" course helps Brand Managers to understand how consumers perceive their brand and make informed decisions to improve brand performance. By learning how to use regression analysis, Brand Managers can identify factors that influence brand perception and measure the impact of marketing campaigns.
See salaries and explore the career path for Brand Manager
Digital Marketing Manager
Digital Marketing Managers plan and execute marketing campaigns using digital channels, such as search engines, social media, and email. The "Regression Modeling for Marketers" course helps Digital Marketing Managers to use data to optimize their campaigns. By understanding how to use regression analysis, Digital Marketing Managers can identify the most effective digital channels for reaching their target audience.
See salaries and explore the career path for Digital Marketing Manager
Advertising Manager
Advertising Managers plan and execute advertising campaigns across various media channels. The "Regression Modeling for Marketers" course helps Advertising Managers to use data to optimize their campaigns. By understanding how to use regression analysis, Advertising Managers can identify the most effective channels for reaching their target audience.
See salaries and explore the career path for Advertising Manager
Statistician
Statisticians collect, analyze, and interpret data to solve problems and make informed decisions. The "Regression Modeling for Marketers" course helps Statisticians to develop the skills needed to analyze marketing data and provide insights for decision-making. By learning how to use regression analysis, Statisticians can identify trends and patterns in data and make predictions about future outcomes.
See salaries and explore the career path for Statistician
Product Manager
Product Managers lead the development and launch of new products. The "Regression Modeling for Marketers" course helps Product Managers to understand how consumers use products and make informed decisions to improve product development. By learning how to use regression analysis, Product Managers can identify factors that influence product usage and measure the impact of product features.
See salaries and explore the career path for Product Manager
E-commerce Manager
E-commerce Managers plan and execute marketing campaigns for online stores. The "Regression Modeling for Marketers" course helps E-commerce Managers to understand how consumers shop online and make informed decisions to improve sales. By learning how to use regression analysis, E-commerce Managers can identify factors that influence online purchases and measure the impact of marketing campaigns.
See salaries and explore the career path for E-commerce Manager
Sales Manager
Sales Managers lead sales teams and develop sales strategies. The "Regression Modeling for Marketers" course helps Sales Managers to understand how customers make purchasing decisions and make informed decisions to improve sales performance. By learning how to use regression analysis, Sales Managers can identify factors that influence customer purchases and measure the impact of sales strategies.
See salaries and explore the career path for Sales Manager
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems and improve operations. The "Regression Modeling for Marketers" course may be useful for Operations Research Analysts who want to learn how to use regression analysis to model and optimize business processes.
See salaries and explore the career path for Operations Research Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations and provide guidance to clients. The "Regression Modeling for Marketers" course may be useful for Financial Analysts who want to use data analysis to identify investment opportunities and make informed decisions.
See salaries and explore the career path for Financial Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. The "Regression Modeling for Marketers" course may be useful for Data Analysts who want to learn how to use regression analysis to extract insights from data.
See salaries and explore the career path for Data Analyst
Software Engineer
Software Engineers design, develop, and maintain software systems. The "Regression Modeling for Marketers" course may be useful for Software Engineers who want to learn how to use regression analysis to test and improve the performance of software systems.
See salaries and explore the career path for Software Engineer

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 Regression Modeling for Marketers.
Cover image
Microeconomics
Save
Provides a comprehensive overview of regression analysis, including both theoretical and practical aspects. It valuable reference for anyone who wants to learn more about regression analysis or use it in their work.
Microeconomics
Paperback
Check
Microeconomics
Kindle Edition
Check
Cover image
Statistics for Business & Economics + Webassign,...
Save
Provides a comprehensive overview of quantitative methods used in business. It covers topics such as descriptive statistics, inferential statistics, and multivariate analysis. It valuable resource for anyone who wants to learn more about quantitative methods or use them in their work.
Statistics for Business & Economics + Webassign,...
Paperback
Check
Statistics for Business & Economics + Webassign,...
Kindle Edition
Check
Marketing Management
Save
Provides a comprehensive overview of marketing management. It covers topics such as marketing strategy, marketing research, and marketing communications. It valuable resource for anyone who wants to learn more about marketing management or use it in their work.
Marketing Management
Paperback
Check
Marketing Management
Kindle Edition
Check
Cover image
Advertising and Promotion
Save
Provides a comprehensive overview of advertising and promotion. It covers topics such as advertising strategy, media planning, and creative development. It valuable resource for anyone who wants to learn more about advertising and promotion or use it in their work.
Advertising and Promotion
Paperback
Check
Advertising and Promotion
Kindle Edition
Check
Cover image
Travel and Tourism Public Relations
Save
Provides a comprehensive overview of public relations. It covers topics such as public relations strategy, media relations, and crisis communication. It valuable resource for anyone who wants to learn more about public relations or use it in their work.
Travel and Tourism Public Relations
Paperback
Check
Travel and Tourism Public Relations
Kindle Edition
Check
Cover image
Hospitality Marketing
Save
Provides a comprehensive overview of customer relationship management. It covers topics such as customer relationship management strategy, customer relationship management systems, and customer relationship management analytics. It valuable resource for anyone who wants to learn more about customer relationship management or use it in their work.
Hospitality Marketing
Paperback
Check
Hospitality Marketing
Kindle Edition
Check

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Regression Modeling for Marketers.
Data Analytics Methods for Marketing
Most relevant
Regression Analysis: Simplify Complex Data Relationships
Most relevant
Unsupervised Machine Learning for Customer Market...
Machine Learning for Marketers
Advanced Quantitative Statistics with Excel
Become a Growth Marketer: Learn Growth Marketing & Get a...
Introduction to Social Media Analytics
Marketing Analytics
Meaningful Marketing Insights
Course image
Effort
4 weeks of study
Level
Intermediate
Via
Coursera
Institution
University of Colorado System
Instructors
A.W. Lukens
Tony Cox, Jr.
Language
English
This course belongs to a collection called Data Science for Marketing. It's comprised of four courses:
  1. Machine Learning for Marketers
  2. Time, Change, and Decisions for Marketing
  3. Regression Modeling for Marketers (viewing)
  4. Customer Data Analytics for Marketers
Good to know
Taught by A.W. Lukens and Tony Cox Jr., who are renowned for their expertise in marketing analytics
Provides a solid foundation for marketing professionals seeking to enhance their analytical skills
Develops proficiency in regression analysis, a fundamental technique for quantifying and interpreting marketing outcomes
Covers sophisticated analytical techniques like ANOVA, ANCOVA, and MANCOVA, empowering learners to analyze complex marketing data
Emphasizes practical applications, including uplift modeling for targeted marketing campaigns, making it highly relevant for contemporary marketers
Share and help others discover this course
Facebook LinkedIn X Reddit Link Email
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser