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