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"

  • Status: New
    Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Northeastern University

    Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Text Mining, Probability Distribution, Data Analysis, Network Analysis, Feature Engineering, Probability, Data Structures, Statistics, Data Visualization, Data Processing, Data Cleansing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Quantitative Research, Marketing Analytics, Market Analysis, Market Research, Exploratory Data Analysis, Strategic Marketing, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Customer Analysis, Statistical Modeling, Statistical Analysis, Correlation Analysis, Regression Analysis, Unsupervised Learning, Variance Analysis

    4.4
    Rating, 4.4 out of 5 stars
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Northeastern University

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

    Mixed · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Investment Management, Variance Analysis, Risk Modeling

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    5
    Rating, 5 out of 5 stars
    6 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • Northeastern University

    Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability

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