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David Schweidel
Marketers must make the best decisions based on the information presented to them. Rarely will they have all the information necessary to predict what consumers will do with complete certainty. By incorporating uncertainty into the decisions that they make, they can anticipate a wide range of possible outcomes and recognize the extent of uncertainty on the decisions that they make. In Incorporating Uncertainty into Marketing Decisions, learners will become familiar with different methods to recognize sources of uncertainty that may affect the marketing decisions they ultimately make. We eschew specialized software and provide learners with the foundational knowledge they need to develop sophisticated marketing models in a basic spreadsheet environment. Topics include the development and application of Monte Carlo simulations, and the use of probability distributions to characterize uncertainty.
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What's inside
Syllabus
Randomness and Probability
Module 1 focuses on developing an understanding where randomness appears in marketing problems. You will learn basic rules for calculating the probability of outcomes. We will also examine how these rules can be applied to determine the value of information
Read more
Syllabus
Randomness and Probability
Module 1 focuses on developing an understanding where randomness appears in marketing problems. You will learn basic rules for calculating the probability of outcomes. We will also examine how these rules can be applied to determine the value of information
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Explores methods that are core for business problem solving in marketing
Teaches how to conduct Monte Carlo simulations, a useful tool for making marketing decisions under uncertainty
Builds a foundation for developing sophisticated marketing models in a basic spreadsheet environment
Provides learners with foundational knowledge and skills that can be applied to real-world marketing scenarios
Covers essential topics in marketing decision-making under uncertainty, such as randomness, probability, and probability distributions
Taught by David Schweidel, a recognized expert in marketing decision-making under uncertainty
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Reviews summary
Marketing analytics modeling in excel
According to learners, this course provides a solid foundation in incorporating uncertainty into marketing decisions, with a particular focus on an Excel-based approach. Students highlight the clear explanations of concepts like probability and Monte Carlo simulations, making the material accessible. The hands-on application, especially the module on designing service warranty plans, is frequently mentioned as a highly practical aspect. While many find the course appropriate for beginners to intermediate learners, some more experienced students note it can be a bit basic. Overall, it's seen as a useful starting point for applying analytical techniques in marketing.
Suitable for beginners, possibly basic for others.
"The pace was just right for me, covering foundational concepts without getting overwhelmingly technical."
"If you have a strong stats background, some early parts might feel slow, but the application makes up for it."
"Found some of the later material on distributions challenging, but manageable with practice."
Provides a strong analytical base.
"This course gave me a really solid foundation in thinking about uncertainty analytically."
"Feel much more confident in my ability to build basic models and understand their limitations."
"It's a great introductory course if you want to get started with quantitative marketing analysis."
Useful examples applied to real problems.
"The service warranty case study in the final module was an excellent real-world application of the concepts learned."
"I can immediately see how to apply these techniques to problems I face at work."
"It wasn't just theory; seeing how to use the tools on a practical example made a big difference."
Core concepts explained simply and clearly.
"The instructor did a great job explaining complex ideas like probability distributions in an understandable way."
"Found the explanations on the value of information and decision frameworks very clear."
"The modules broke down the concepts logically, making them easy to follow even for someone new to this."
Learn practical analytical modeling in Excel.
"Learning to build these models right in Excel is incredibly useful for my job."
"I really appreciated that we used standard spreadsheet software instead of requiring expensive specialized tools."
"The hands-on exercises in Excel for the Monte Carlo simulation were the highlight for me."
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 Managing Uncertainty in Marketing Analytics with these
activities:
Form a study group with other students
Show steps
Form a study group to reinforce your understanding of course concepts.
Show steps
-
Identify other students in the course who are interested in forming a study group.
-
Schedule regular meetings to discuss course material and work on assignments together.
-
Take turns leading the study group and facilitating discussions.
Complete online tutorials on Monte Carlo simulations
Show steps
Supplement your understanding with additional online materials on Monte Carlo simulations.
Browse courses on
Monte Carlo simulations
Show steps
-
Search for and identify reputable online tutorials on Monte Carlo simulations.
-
Complete the tutorials at your own pace.
-
Take notes and revisit the tutorials as needed.
Solve practice problems on Monte Carlo simulations
Show steps
Enhance your problem-solving skills with extra practice on Monte Carlo simulations.
Browse courses on
Monte Carlo simulations
Show steps
-
Find practice problems on Monte Carlo simulations from textbooks, online resources, or the course materials.
-
Solve the practice problems on your own.
-
Check your solutions against the provided answer key or consult with an instructor or tutor if needed.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a presentation or infographic on Monte Carlo simulations
Show steps
Demonstrate your grasp of the topic and enhance your communication skills.
Browse courses on
Monte Carlo simulations
Show steps
-
Decide on the format of your presentation or infographic.
-
Gather relevant information and data on Monte Carlo simulations.
-
Organize and structure your presentation or infographic in a visually appealing way.
-
Present your work to your classmates or share it online.
Develop a marketing campaign plan using Monte Carlo simulations
Show steps
Apply your knowledge on Monte Carlo simulations by developing a marketing campaign plan.
Browse courses on
Monte Carlo simulations
Show steps
-
Define the goals and objectives of your marketing campaign.
-
Identify the target audience for your campaign.
-
Develop a creative strategy for your campaign.
-
Use Monte Carlo simulations to evaluate the potential outcomes of your campaign.
-
Refine your campaign plan based on the results of your simulations.
Read 'Monte Carlo Simulation and Its Applications' by C. Alexopoulos
Show steps
Gain a deeper understanding of Monte Carlo simulations through a comprehensive book.
View
Use of Services for Family Planning and...
on Amazon
Show steps
-
Purchase or borrow a copy of the book.
-
Read the book thoroughly, taking notes and highlighting important concepts.
-
Complete the exercises and assignments provided in the book.
Form a study group with other students
Show steps
Form a study group to reinforce your understanding of course concepts.
Show steps
Show steps
Show steps
- Identify other students in the course who are interested in forming a study group.
- Schedule regular meetings to discuss course material and work on assignments together.
- Take turns leading the study group and facilitating discussions.
Complete online tutorials on Monte Carlo simulations
Show steps
Supplement your understanding with additional online materials on Monte Carlo simulations.
Browse courses on
Monte Carlo simulations
Show steps
Show steps
Show steps
- Search for and identify reputable online tutorials on Monte Carlo simulations.
- Complete the tutorials at your own pace.
- Take notes and revisit the tutorials as needed.
Solve practice problems on Monte Carlo simulations
Show steps
Enhance your problem-solving skills with extra practice on Monte Carlo simulations.
Browse courses on
Monte Carlo simulations
Show steps
Show steps
Show steps
- Find practice problems on Monte Carlo simulations from textbooks, online resources, or the course materials.
- Solve the practice problems on your own.
- Check your solutions against the provided answer key or consult with an instructor or tutor if needed.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a presentation or infographic on Monte Carlo simulations
Show steps
Demonstrate your grasp of the topic and enhance your communication skills.
Browse courses on
Monte Carlo simulations
Show steps
Show steps
Show steps
- Decide on the format of your presentation or infographic.
- Gather relevant information and data on Monte Carlo simulations.
- Organize and structure your presentation or infographic in a visually appealing way.
- Present your work to your classmates or share it online.
Develop a marketing campaign plan using Monte Carlo simulations
Show steps
Apply your knowledge on Monte Carlo simulations by developing a marketing campaign plan.
Browse courses on
Monte Carlo simulations
Show steps
Show steps
Show steps
- Define the goals and objectives of your marketing campaign.
- Identify the target audience for your campaign.
- Develop a creative strategy for your campaign.
- Use Monte Carlo simulations to evaluate the potential outcomes of your campaign.
- Refine your campaign plan based on the results of your simulations.
Read 'Monte Carlo Simulation and Its Applications' by C. Alexopoulos
Show steps
Gain a deeper understanding of Monte Carlo simulations through a comprehensive book.
View
Use of Services for Family Planning and...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow a copy of the book.
- Read the book thoroughly, taking notes and highlighting important concepts.
- Complete the exercises and assignments provided in the book.
Career center
Learners who complete Managing Uncertainty in Marketing Analytics will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze and interpret data to help businesses make informed decisions. The course Managing Uncertainty in Marketing Analytics can help Data Scientists build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Data Scientists can enhance their ability to analyze data and make recommendations that are supported by evidence.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing strategies. The course Managing Uncertainty in Marketing Analytics can help Marketing Analysts build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Marketing Analysts can enhance their ability to analyze data and make recommendations that are supported by evidence.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to solve business problems. The course Managing Uncertainty in Marketing Analytics can help Quantitative Analysts build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Quantitative Analysts can enhance their ability to develop and implement quantitative models.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks that could affect a business. The course Managing Uncertainty in Marketing Analytics can help Risk Analysts build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Risk Analysts can enhance their ability to identify and assess risks, and develop strategies to mitigate those risks.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate investments and make financial recommendations. The course Managing Uncertainty in Marketing Analytics can help Financial Analysts build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Financial Analysts can enhance their ability to analyze data and make recommendations that are supported by evidence.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to improve the efficiency and effectiveness of business operations. The course Managing Uncertainty in Marketing Analytics can help Operations Research Analysts build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Operations Research Analysts can enhance their ability to develop and implement models that improve business operations.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess and manage financial risk. The course Managing Uncertainty in Marketing Analytics can help Actuaries build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Actuaries can enhance their ability to develop and implement models that assess and manage financial risk.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. The course Managing Uncertainty in Marketing Analytics can help Statisticians build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Statisticians can enhance their ability to analyze data and make recommendations that are supported by evidence.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. The course Managing Uncertainty in Marketing Analytics can help Data Analysts build a foundation in probability and statistics, which are essential skills for success in this role. The course also covers Monte Carlo simulations and probability distributions, which are useful for modeling uncertainty and risk. By taking this course, Data Analysts can enhance their ability to analyze data and make recommendations that are supported by evidence.
Business Analyst
Business Analyst
Business Analysts use data to understand business needs and develop solutions. The course Managing Uncertainty in Marketing Analytics may be useful for Business Analysts who want to build a foundation in probability and statistics. This course can help Business Analysts develop a better understanding of how to use data to make informed decisions.
Consultant
Consultant
Consultants use their expertise to help businesses solve problems and improve performance. The course Managing Uncertainty in Marketing Analytics may be useful for Consultants who want to build a foundation in probability and statistics. This course can help Consultants develop a better understanding of how to use data to make informed decisions.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns. The course Managing Uncertainty in Marketing Analytics may be useful for Marketing Managers who want to build a foundation in probability and statistics. This course can help Marketing Managers develop a better understanding of how to use data to make informed decisions about marketing campaigns.
Product Manager
Product Manager
Product Managers develop and manage products. The course Managing Uncertainty in Marketing Analytics may be useful for Product Managers who want to build a foundation in probability and statistics. This course can help Product Managers develop a better understanding of how to use data to make informed decisions about product development.
Sales Manager
Sales Manager
Sales Managers develop and execute sales strategies. The course Managing Uncertainty in Marketing Analytics may be useful for Sales Managers who want to build a foundation in probability and statistics. This course can help Sales Managers develop a better understanding of how to use data to make informed decisions about sales strategies.
Customer Success Manager
Customer Success Manager
Customer Success Managers build and maintain relationships with customers. The course Managing Uncertainty in Marketing Analytics may be useful for Customer Success Managers who want to build a foundation in probability and statistics. This course can help Customer Success Managers develop a better understanding of how to use data to make informed decisions about customer relationships.
For more career information including salaries, visit:
OpenCourser.com/course/fc37sj/managing
Reading list
We've selected 11 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
Managing Uncertainty in Marketing Analytics.
This classic text provides a rigorous foundation in Bayesian decision analysis, offering advanced insights into uncertainty management.
Offers a detailed treatment of Monte Carlo methods, providing a comprehensive resource for understanding the advanced techniques used in the course.
Provides a comprehensive overview of advanced analytics techniques using Microsoft Excel. It covers topics such as data visualization, data mining, and forecasting. The book is written in a clear and concise style, and it includes numerous examples and case studies.
Presents a rigorous introduction to probability and mathematical statistics, providing a strong foundation for understanding the theoretical underpinnings of the course.
Examines the role of risk and uncertainty in marketing decision-making, offering insights into managing uncertainty in various marketing contexts.
Introduces regression and multilevel models, providing a broader understanding of statistical modeling techniques for managing uncertainty in marketing.
Emphasizes the practical application of statistics, providing valuable insights into interpreting and communicating statistical results in marketing contexts.
Offers a comprehensive overview of econometrics, providing essential background knowledge for understanding advanced statistical techniques used in marketing analytics.
Save
Explores the analysis and forecasting of time series data, which is highly relevant for understanding and managing uncertainty in marketing contexts.
Focuses on the application of statistical methods in financial engineering, providing additional context for understanding uncertainty management in marketing.
Provides a broad overview of mathematical statistics and data analysis, offering essential concepts and techniques for understanding uncertainty.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fc37sj/managing
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This course belongs to a
collection
called
Foundations of Marketing Analytics. It's comprised of six courses:
- Introduction to Social Media Analytics
- Meaningful Marketing Insights
- Marketing Analytics Capstone Project
- Managing Uncertainty in Marketing Analytics (viewing)
- Forecasting Models for Marketing Decisions
- Survey analysis to Gain Marketing Insights
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