Visualize and Correlate Data

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Visualize and Correlate Data

This course is part of Brand Equity, Analytics & Marketing Intelligence Specialization

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Design a dashboard mockup, interpret regression analysis, and make data-driven recommendations to optimize marketing budgets.

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Brand Equity, Analytics & Marketing Intelligence Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

You know sales are up, and you know you're spending on ads—but can you prove the connection and optimize your budget for maximum impact? Visualize and Correlate Data is a hands-on course for marketing professionals ready to move beyond simple reporting and make decisions with statistical confidence. This course demystifies the process used by leading companies to determine the true ROI of every marketing dollar: regression analysis. You will learn to design dashboard mockups that tell a clear story, interpret complex statistical outputs, and translate your findings into a data-driven budget proposal. By the end, you'll be able to confidently recommend the channels to invest in and which to cut, transforming you from a data reporter into a strategic business advisor.

This first module lays the essential groundwork for making data-driven marketing decisions. You will learn to think like an analyst, moving beyond simple correlations to understand the need for statistical proof. You will explore the core concepts of regression analysis and master the principles of designing a clear, strategic dashboard that tells a compelling story to leadership.

What's included

1 video1 reading2 assignments

In this module, you will turn theory into action. You'll learn how to interpret a real regression report, translate complex statistics into plain-English business strategy, and present your findings persuasively. The module culminates in a final project where you will produce a complete analytics brief, solidifying your ability to drive budget decisions with data.

What's included

2 videos1 reading1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

LearningMate

214 Courses 11,643 learners

Offered by

Coursera

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.