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.
Data Science for Marketing Specialization
Data Science for Marketing Specialization
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 
Get in-depth knowledge of a subject
(6 reviews)
Intermediate level
Recommended experience
4 months at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(6 reviews)
Intermediate level
Recommended experience
4 months at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Apply data science techniques to optimize marketing strategies and increase customer engagement.
Overview
Skills you'll gain
- Regression Analysis
- Classification And Regression Tree (CART)
- AI Personalization
- Probability & Statistics
- Marketing Analytics
- Predictive Analytics
- Advanced Analytics
- Data Visualization
- Statistical Modeling
- Statistical Analysis
- Anomaly Detection
- Data-Driven Decision-Making
- Bayesian Network
- Statistical Methods
- Marketing Effectiveness
- Data Ethics
- Unsupervised Learning
- Machine Learning
- Customer Analysis
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
122 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Colorado System
Specialization - 4 course series
What you'll learn
Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
Skills you'll gain
Data-Driven Decision-Making, Correlation Analysis, Regression Analysis, Analytics, Statistical Visualization, Statistical Analysis, Customer Insights, Marketing Strategies, Statistical Methods, Marketing Effectiveness, Marketing Analytics, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Statistical Hypothesis Testing, Customer Analysis, Data Ethics, Probability & Statistics, and Data Analysis
What you'll learn
Apply regression analysis to understand & predict marketing outcomes. Interpret market data & refine statistical models for real-world application.
Skills you'll gain
Regression Analysis, Predictive Modeling, Statistical Hypothesis Testing, Statistical Analysis, Marketing Strategies, Market Analysis, Statistical Modeling, Market Dynamics, Marketing Analytics, Customer Insights, Data Visualization, Statistical Software, Marketing, A/B Testing, and Predictive Analytics
What you'll learn
Apply machine learning to improve targeted marketing & strategic decision-making. Analyze & forecast customer behaviors using advanced algorithms.
Skills you'll gain
Predictive Analytics, Classification And Regression Tree (CART), Machine Learning, Dimensionality Reduction, Predictive Modeling, Unsupervised Learning, Customer Analysis, Supervised Learning, AI Personalization, Marketing Strategies, Data-Driven Decision-Making, Marketing Analytics, Regression Analysis, Strategic Marketing, Advanced Analytics, Customer experience improvement, Personalized Service, and Applied Machine Learning
What you'll learn
Predict customer behaviors and market trends using advanced analytics.
Skills you'll gain
Bayesian Network, Marketing Analytics, Probability Distribution, Strategic Leadership, Marketing Effectiveness, Statistical Modeling, Data-Driven Decision-Making, Reinforcement Learning, Time Series Analysis and Forecasting, Simulation and Simulation Software, Anomaly Detection, Predictive Analytics, Customer Engagement, Customer Analysis, Marketing Strategies, Forecasting, Customer Retention, Strategic Decision-Making, and Advanced Analytics
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
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Frequently asked questions
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.
More questions
Financial aid available,