Data-Driven Digital Marketing & Analytics
About this course
In this Specialization, you’ll learn how to use data, technology, and analytics to make stronger digital marketing decisions—from understanding modern marketing systems to running analyses that guide strategy. You’ll begin with an executive view of analytics: what analytics can do (predict, diagnose, prescribe), how analytics projects work in practice, and which technologies and roles support success across business functions. Next, you’ll explore the platforms and infrastructure behind today’s digital marketing. You’ll study how recommendation systems personalize content while balancing accuracy, fairness, and user trust. You’ll learn how visual and multimodal data can reveal cultural, behavioral, and design trends, and how blockchain-enabled systems can support transparency and authenticity in marketing ecosystems. You’ll also evaluate data integrity, governance, and measurement frameworks that help keep performance reporting reliable at scale. Finally, you’ll apply marketing analytics to real decision problems using Python. You’ll design experiments and use quasi-experimental approaches to estimate causal impact. You’ll build predictive models to forecast customer behaviors and outcomes, analyze social media using text and network techniques, and estimate demand, preferences, and customer lifetime value to support targeting and growth decisions.
90/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Use Python to design experiments and apply quasi-experimental methods to measure causal marketing impact
- Build predictive models to forecast customer behaviors and business outcomes
- Analyze social media data using text mining and network analysis techniques
- Estimate customer lifetime value, demand curves, and preferences to inform targeting decisions
- Evaluate how recommendation systems balance personalization, accuracy, fairness, and user trust
- Assess data governance, integrity, and measurement frameworks for reliable performance reporting
- Understand how visual and multimodal data reveal cultural and behavioral trends
- Apply marketing analytics frameworks to diagnose problems, predict outcomes, and prescribe strategies
Course objectives
- Develop the ability to use data and technology to make stronger digital marketing decisions
- Gain an executive understanding of what analytics can do across business functions
- Learn how modern digital marketing platforms and infrastructure operate
- Apply statistical and machine learning methods to solve real marketing decision problems
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Coursera
Udemy
Compared on these lists
Where this course ranks against the alternatives.