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
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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
- Classification And Regression Tree (CART)
- Unsupervised Learning
- Advanced Analytics
- Marketing Analytics
- Regression Analysis
- Data Visualization
- Predictive Analytics
- Probability & Statistics
- Statistical Methods
- Marketing Effectiveness
- AI Personalization
- Data-Driven Decision-Making
- Anomaly Detection
- Machine Learning
- Customer Analysis
- Bayesian Network
- Data Ethics
- Statistical Modeling
- Statistical 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
Correlation Analysis, Data-Driven Decision-Making, Regression Analysis, Analytics, Statistical Visualization, Statistical Analysis, Probability & Statistics, Data Ethics, Marketing Analytics, Descriptive Statistics, Statistical Modeling, Statistical Hypothesis Testing, Customer Analysis, Customer Insights, Statistical Methods, Exploratory Data Analysis, Marketing Effectiveness, Marketing Strategies, 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, Variance Analysis, Target Market, Market Analysis, Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Statistical Modeling, Statistical Software, Strategic Marketing, A/B Testing, Advanced Analytics, Predictive Analytics, Customer Insights, and Data Visualization
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
Classification And Regression Tree (CART), Predictive Analytics, Predictive Modeling, Supervised Learning, Machine Learning, Customer Analysis, Dimensionality Reduction, Unsupervised Learning, Strategic Marketing, Marketing Analytics, Customer experience improvement, Applied Machine Learning, Personalized Service, Data-Driven Decision-Making, Advanced Analytics, Regression Analysis, AI Personalization, and Marketing Strategies
What you'll learn
Predict customer behaviors and market trends using advanced analytics.
Skills you'll gain
Marketing Analytics, Probability Distribution, Bayesian Statistics, Bayesian Network, Strategic Leadership, Time Series Analysis and Forecasting, Forecasting, Data-Driven Decision-Making, Reinforcement Learning, Simulation and Simulation Software, Predictive Analytics, Strategic Decision-Making, Advanced Analytics, Marketing Strategies, Customer Engagement, Consumer Behaviour, Anomaly Detection, Customer Retention, Customer Analysis, and Marketing Effectiveness
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,