Customer Data Analytics for Marketers

This course is part of Data Science for Marketing Specialization

Instructor: Tony Cox, Jr.

What you'll learn

  •   Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
  • Skills you'll gain

  •   Exploratory Data Analysis
  •   Descriptive Statistics
  •   Data-Driven Decision-Making
  •   Data Analysis
  •   Marketing Strategies
  •   Marketing Analytics
  •   Statistical Hypothesis Testing
  •   Customer Analysis
  •   Customer Insights
  •   Statistical Methods
  •   Correlation Analysis
  •   Marketing Effectiveness
  •   Regression Analysis
  •   Statistical Visualization
  •   Statistical Modeling
  •   Analytics
  •   Statistical Analysis
  •   Data Ethics
  •   Probability & Statistics
  • There are 4 modules in this course

    This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies. The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions. It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis. The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation. This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights.

    Data Analytics & Critical Thinking

    Hypothesis Testing, Correlation, and Regression

    Correlation and Causality

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