Data Science for Marketing Specialization

Course Overview:

The Data Science for Marketing Specialization is designed for marketing professionals aiming to harness the power of data science. Across four comprehensive courses, learners will gain advanced skills in marketing data analytics, regression modeling, machine learning, and decision-making strategies. This program covers statistical concepts, predictive analytics, and decision optimization, ensuring a well-rounded understanding of how to apply data science in marketing.

Course Details:

1. Customer Data Analytics for Marketers
   • Duration: 23 hours
   • Objective:
     • Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
   • Skills Gained:
     • Structural Equation Modeling (SEM)
     • Core Statistical Concepts
     • Ethical Data Analytics
     • Visualization of Data Correlations
     • Marketing Data Analytics
2. Regression Modeling for Marketers
   • Duration: 19 hours
   • Objective:
     • Apply regression analysis to understand and predict marketing outcomes.
   • Topics Covered:
     • Interpret market data
     • Refine statistical models for real-world application
3. Machine Learning in Marketing
   • Duration: 20 hours
   • Objective:
     • Explore machine learning techniques for marketing applications.
   • Skills Gained:
     • Machine Learning Algorithms
     • Predictive Analytics
     • Decision-Making Strategies
4. Predictive Analytics and Decision-Making
   • Duration: 21 hours
   • Objective:
     • Enhance decision-making using predictive analytics.
   • Topics Covered:
     • Decision optimization
     • Forecasting trends
     • Data-driven marketing decisions

Applied Learning Project:

• Students will use data visualizations and statistical outputs to interpret marketing data for real-world applications.
• Sample cases provided by the instructor allow learners to apply skills taught in the courses.
• Learners practice predicting how marketing actions influence customer behavior.

Certification:

• Upon successful completion participants receive a shareable certificate.

Note: The course outline can be adjusted based on the specific requirements of the training participants and the available time

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