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