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Marketing Analytics Capstone Project

This capstone project will give you an opportunity to apply what we have covered in the Foundations of Marketing Analytics specialization. By the end of this capstone project, you will have conducted exploratory data analysis, examined pairwise relationships among different variables, and developed and tested a predictive model to solve a marketing analytics problem. It is highly recommended that you complete all courses within the Foundations of Marketing Analytics specialization before starting the capstone course.

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Syllabus

Marketing Analytics Project Description

This module will define the goals and activities for the marketing analytics capstone project.

Exploratory Analysis

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on labs and interactive materials

Provides a comprehensive study of science, math, and technology

Examines marketing analytics, which is highly relevant to industry

Taught by David Schweidel, who are recognized for their work in marketing analytics

Builds a strong foundation for beginners

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Reviews summary

Marketing analytics practical application project

According to learners who have completed this capstone, this course provides a valuable opportunity to apply concepts from the preceding specialization, particularly focusing on building a logistic regression model using spreadsheet software. Many found the project to be practical and a good way to solidify their understanding of using data for marketing decisions. However, a significant portion of students found the course very challenging, sometimes citing vague instructions and difficulty in applying the concepts without strong prior knowledge. The use of spreadsheets for model building received mixed feedback; some found it helpful for understanding the underlying mechanics, while others felt it was outdated or confusing. The course requires a solid foundation from the prior specialization courses.

Needs solid base from prior courses.

"Requires solid understanding from previous courses."

"Assumes too much prior knowledge."

Using spreadsheets had mixed reception.

"The spreadsheet method for logistic regression was surprisingly clear and practical for understanding the mechanics."

"Spreadsheet model building was confusing."

"the spreadsheet approach is outdated."

Apply analytics skills to project.

"Great project! Applied everything from the specialization."

"Excellent culmination... The project is practical and the steps are logical."

"Solid capstone. Applying logistic regression in a marketing context was useful."

Peer grading process is inconsistent.

"Peer review was hit or miss."

"The peer review process was frustrating at times."

Many learners found it difficult.

"Challenging capstone. While the project is relevant, applying the steps wasn't straightforward."

"Found this very difficult. Assumes too much prior knowledge."

"Very time consuming."

"Absolutely terrible. The instructions were vague..."

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 Capstone Project with these activities:

Watch video tutorials on marketing analytics techniques

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This activity will help you to learn new marketing analytics techniques.

Browse courses on Marketing Analytics

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Identify a video tutorial that you want to watch.
Watch the video tutorial.
Take notes on the key concepts.

Complete practice problems on marketing analytics concepts

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This activity will help you to reinforce your understanding of the concepts covered in the course.

Browse courses on Marketing Analytics

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Identify a practice problem set.
Complete the practice problems.
Check your answers against the answer key.

Read 'Marketing Analytics: Data-Driven Techniques with Spreadsheet Applications'

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This book will provide you with a solid foundation in the principles and practices of marketing analytics.

View Marketing Analytics on Amazon

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Read the first three chapters of the book.
Complete the exercises at the end of each chapter.
Take practice quizzes on the material.

Eight other activities

Expand to see all activities and additional details

Show all 11 activities

Explore Data Analysis with Coursera

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This tutorial will provide a good overview of the concepts and techniques used in Exploratory Data Analysis, which is a key component of this course.

Browse courses on Exploratory Data Analysis

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Navigate to Coursera and search for 'Exploratory Data Analysis'
Enroll in the course and complete the first module

Create a presentation on a topic in marketing analytics

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This activity will help you to develop your communication and presentation skills.

Browse courses on Marketing Analytics

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Choose a topic in marketing analytics that you are interested in.
Research the topic and gather data.
Create a presentation that is clear, concise, and engaging.
Present your presentation to a group of your peers.

Develop a marketing analytics plan for a small business

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This project will allow you to apply the principles of marketing analytics to a real-world problem.

Browse courses on Marketing Analytics

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Identify a small business that is struggling with its marketing efforts.
Conduct a marketing audit to assess the business's current marketing situation.
Develop a marketing analytics plan to address the business's needs.
Implement the marketing analytics plan and track its results.

Design a Marketing Analytics Dashboard

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Creating a dashboard will help you visualize and interpret the results of your analysis, which is essential for making informed marketing decisions.

Browse courses on Marketing Analytics

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Gather data from various sources
Identify key metrics and KPIs
Design and develop the dashboard using a tool like Tableau or Power BI

Develop a marketing analytics dashboard

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This activity will allow you to develop your data visualization and dashboarding skills.

Browse courses on Marketing Analytics

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Identify the key metrics that you want to track.
Choose a data visualization tool.
Create a dashboard that is visually appealing and easy to read.
Share your dashboard with others.

Attend a marketing analytics conference or meetup

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This activity will allow you to network with other marketing analytics professionals and learn about the latest trends in the field.

Browse courses on Marketing Analytics

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Find a marketing analytics conference or meetup in your area.
Register for the event.
Attend the event and network with other attendees.

Volunteer at a marketing analytics organization

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This activity will allow you to give back to the community and learn about marketing analytics in a real-world setting.

Browse courses on Marketing Analytics

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Find a marketing analytics organization in your area.
Contact the organization and ask about volunteer opportunities.
Volunteer at the organization and assist with marketing analytics projects.

Attend a marketing analytics workshop

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This activity will allow you to learn new marketing analytics techniques and skills.

Browse courses on Marketing Analytics

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Find a marketing analytics workshop in your area.
Register for the workshop.
Attend the workshop and participate in the activities.

Career center

Learners who complete Marketing Analytics Capstone Project will develop knowledge and skills that may be useful to these careers:

Researcher

Researchers in the marketing field work to understand what customers want and need. This course will help equip you with the skills needed to collect, analyze, and interpret data to drive marketing decisions. It will also help you develop you develop a foundation in statistical analysis, data mining, and predictive modeling—skills that are highly sought after by employers in the market research field.

See salaries and explore the career path for Researcher

Marketing Data Analyst

Marketing Data Analysts use their knowledge and expertise in data analysis, statistics, and marketing to help interpret and communicate customer behavior. They help businesses make informed decisions on how to target their marketing efforts more effectively. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Marketing Data Analyst

Data Analyst

Data Analysts collect, clean, analyze, and interpret data to help organizations make better decisions. This course will provide you with the skills and knowledge you need to succeed in this role, including data analysis, statistical modeling, and data visualization. You will also learn how to use data to solve business problems and communicate your findings effectively.

See salaries and explore the career path for Data Analyst

Market Research Analyst

Market Research Analysts use data to understand market trends and customer behavior. They help businesses make informed decisions on how to develop and market their products and services. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Market Research Analyst

Marketing Manager

Marketing Managers plan and execute marketing campaigns and oversee all aspects of marketing for their organization. They use data to understand market trends and customer behavior, and develop marketing strategies that drive sales and build brand awareness. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Marketing Manager

Product Marketing Manager

Product Marketing Managers are responsible for developing and executing marketing plans for specific products or services. They use data to understand market trends and customer behavior, and develop marketing strategies that drive sales and build brand awareness. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Product Marketing Manager

Business Analyst

Business Analysts use data to help organizations make better decisions. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to analyze financial performance and make investment recommendations. They work with clients to help them achieve their financial goals. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to help organizations solve complex problems. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Operations Research Analyst

Risk Analyst

Risk Analysts use data to identify and assess risks. They work with stakeholders across the organization to develop strategies to mitigate those risks. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Risk Analyst

Data Scientist

Data Scientists use data to solve complex problems and develop new products and services. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and test software applications. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Software Engineer

Computer Programmer

Computer Programmers write and test computer code. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Computer Programmer

Web Developer

Web Developers design and develop websites. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Web Developer

Database Administrator

Database Administrators manage and maintain databases. They work with stakeholders across the organization to understand business needs, and then use data to develop solutions to those needs. This course will provide you with the skills needed to succeed in this role, including data analysis, statistical modeling, and data visualization.

See salaries and explore the career path for Database Administrator

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 Marketing Analytics Capstone Project.