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Data Science for Marketing Success . Gain advanced skills in marketing data analytics, machine learning, and decision-making strategies to increase customer lifetime value.
Instructors: A.W. Lukens
Included with
(5 reviews)
Recommended experience
Intermediate level
At least 2 years of marketing or business experience.
(5 reviews)
Recommended experience
Intermediate level
At least 2 years of marketing or business experience.
Apply data science techniques to optimize marketing strategies and increase customer engagement.
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This specialization is designed for marketing professionals aiming to harness the power of data science. Across four comprehensive courses, learners will learn about modern marketing data analytics, regression modeling, machine learning, and decision-making. This program covers statistical concepts, predictive analytics, and decision optimization, ensuring a well-rounded understanding of how to apply data science in marketing. Participants will learn to interpret data, forecast trends, and make data-driven marketing decisions, enhancing both customer engagement and business profitability.
Applied Learning Project
Students will use data visualizations and statistical outputs to interpret marketing data for real-world applications. The instructor provides several sample cases through which learners can apply skills taught in the courses. Learners have the opportunity to practice predicting how marketing actions influence customer behavior.
Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
Apply regression analysis to understand & predict marketing outcomes. Interpret market data & refine statistical models for real-world application.
Apply machine learning to improve targeted marketing & strategic decision-making. Analyze & forecast customer behaviors using advanced algorithms.
Predict customer behaviors and market trends using advanced analytics.
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
About 4-5 months.
At least 2 years of marketing or business experience.
Yes. Customer Data Analytics for Marketers, Regression Modeling for Marketers, Machine Learning for Marketers, and Time, Change, and Decisions for Marketers.
Apply data science techniques to optimize marketing strategies and increase customer engagement.
Causal modeling and interpretation of data for decision-making.
Statistical and machine learning tools for predictive analytics and causal forecasting.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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.
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.