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"

  • Google

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Methods, Correlation Analysis, Predictive Modeling, Supervised Learning, Predictive Analytics, Statistical Modeling, Machine Learning, Model Evaluation, Applied Machine Learning, Variance Analysis, Classification Algorithms, Python Programming

    4.7 stars, 608 reviews, Advanced, Course, 1 - 3 Months

  • University of Colorado Boulder

    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, Predictive Analytics, Exploratory Data Analysis, Scatter Plots, Model Evaluation, Estimation, Data Literacy, Sampling (Statistics), Anomaly Detection

    Mixed · Course · 1 - 3 Months

  • Sage Publications

    Skills you'll gain: Quantitative Research, Regression Analysis, Data Literacy, Data Analysis, Data Storytelling, Exploratory Data Analysis, Data Manipulation, Statistical Reporting, Statistical Analysis, Statistical Software, Data Presentation, Descriptive Statistics, Science and Research, Descriptive Analytics, Analysis, Correlation Analysis, Statistical Methods, Scientific Methods, Social Sciences, Data Collection

    Intermediate · Course · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Statistical Analysis, Image Quality, Psychology, Advanced Analytics, Network Analysis, R Programming, Statistical Methods, Statistics

    4.7 stars, 3.3K reviews, Intermediate, Specialization, 3 - 6 Months

  • Imperial College London

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Science and Research, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)

    4.7 stars, 2.1K reviews, Beginner, Specialization, 3 - 6 Months

  • EDUCBA

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Financial Forecasting, Model Evaluation, Forecasting, Regression Analysis, Feature Engineering, Data Preprocessing, Advanced Analytics, Statistical Analysis, Predictive Modeling, Predictive Analytics, Correlation Analysis, Analytics, Analysis, Data Modeling, Finance, Business, Performance Analysis, Decision Making

    4.7 stars, 65 reviews, Beginner, Specialization, 3 - 6 Months

  • IBM

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7 stars, 379 reviews, Intermediate, Course, 1 - 3 Months

  • Kennesaw State University

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Project Schedules, Business Process, Project Management

    4.7 stars, 4.4K reviews, Beginner, Specialization, 3 - 6 Months

  • Multiple educators

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management

    4.6 stars, 118K reviews, Beginner, Specialization, 3 - 6 Months

  • Microsoft

    Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Analytical Skills, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Spatial Data Analysis, Scatter Plots, Forecasting, Root Cause Analysis

    4.6 stars, 41 reviews, Beginner, Course, 1 - 4 Weeks

  • Duke University

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication

    4.6 stars, 3.8K reviews, Beginner, Specialization, 3 - 6 Months

  • Stanford Online

    Skills you'll gain: Statistics, Statistical Inference, Probability & Statistics, Regression Analysis, Statistical Methods, Descriptive Statistics, Statistical Hypothesis Testing, Exploratory Data Analysis, Statistical Modeling, Statistical Analysis, Data Literacy, Data Analysis, Sampling (Statistics), Probability Distribution, Statistical Reporting, Probability, Statistical Visualization, Correlation Analysis

    4.6 stars, 4.3K reviews, Beginner, Course, 1 - 3 Months