Correlation Analysis

Correlation Analysis is a statistical method used to evaluate the strength of relationship between two quantitative variables. Coursera's Correlation Analysis catalogue provides an in-depth understanding of this statistical concept, fundamental to various domains such as finance, economics, psychology, and data science. You'll learn how to define, calculate, and interpret correlation coefficients, assess linear relationships between variables, understand its limitations and biases, and utilize software tools for data visualization and analysis. This skill enhances your competencies in research, data analysis, machine learning, and predictive modeling.

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Results for "Correlation Analysis"

  • Skills you'll gain: Regression Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Statistical Inference, Statistical Modeling, Statistical Analysis, Probability & Statistics, Statistics, Predictive Modeling, Analysis, Scatter Plots, Model Evaluation, Estimation, Sampling (Statistics)

  • From the course: Social Determinants of Health: Health Care Systems·Lesson: Introduction to Correlation Analysis and Heat Map Visualization

  • From the course: Solving Business Problems with Spreadsheet Modeling·Lesson: Lesson 1.2: Putting Correlation to Use

  • University of Colorado Boulder

    From the course: Data Mining Methods·Lesson: FP-growth Algorithm, Association, Correlation

  • From the course: Data Analysis Tools·Lesson: SAS Lessons

  • From the course: Data Mining Methods·Lesson: FP-growth Algorithm, Association, Correlation

  • University of Colorado Boulder

    From the course: Data Driven Decision Making·Lesson: Correlation for Two Continuous Variables

  • From the course: Social Determinants of Health: Health Care Systems·Lesson: Correlation Analysis and Heat Map Visualization

  • University of Colorado System

    From the course: Customer Data Analytics for Marketers·Lesson: Predictions

  • From the course: Data Analysis Tools·Lesson: Pearson Correlation

  • From the course: Beyond the Obvious: How to Think in the Age of Generative AI·Lesson: Lesson 1 - Correlation vs. Causation

  • Kennesaw State University

    From the course: Six Sigma Tools for Improve and Control·Lesson: Correlation and Regression