Statistical Modeling

Statistical Modeling is a quantitative method used to predict or explain data patterns by applying statistical processes. Coursera's Statistical Modeling catalogue equips you with the knowledge and skills to create, interpret, and critique various statistical models. You'll learn fundamental concepts like regression analysis, predictive modeling, probability distribution, hypothesis testing, and Bayesian statistics. This learning will enhance your ability to make data-driven decisions in roles such as data analyst, statistician, economist, machine learning engineer, or any profession requiring strong analytical skills. You'll also explore the use of statistical software tools and packages, making you proficient in applying statistical modeling to real-world problems.

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Results for "Statistical Modeling"

  • University of Colorado Boulder

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Analysis, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, R (Software), Statistical Programming, Predictive Modeling, Predictive Analytics, Probability & Statistics, Advanced Analytics, Data Modeling, General Science and Research

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    66 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Johns Hopkins University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Analysis, Data Modeling

    4.4
    Rating, 4.4 out of 5 stars
    800 reviews

    Advanced · Specialization · 3 - 6 Months

  • University of Pennsylvania

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Duke University

    Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing

    4.8
    Rating, 4.8 out of 5 stars
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • University of California, Santa Cruz

    Skills you'll gain: R Programming, Statistical Programming, R (Software), Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Statistical Inference, Sampling (Statistics), Simulations, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • University of Minnesota

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    145 reviews

    Mixed · Course · 1 - 4 Weeks

  • Arizona State University

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New

    Coursera

    Skills you'll gain: Descriptive Statistics, Data Analysis, Predictive Modeling, Predictive Analytics, Data Literacy, Statistical Modeling, Statistical Hypothesis Testing, Exploratory Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Customer Analysis, Statistical Machine Learning, Data Science, Model Evaluation, Scikit Learn (Machine Learning Library), Statistical Analysis, Feature Engineering, Data Visualization, Statistical Inference, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New

    Coursera

    Skills you'll gain: Risk Modeling, Descriptive Statistics, Financial Modeling, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Lending and Underwriting, Predictive Modeling, Predictive Analytics, Commercial Lending, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Statistical Methods, Performance Metric, Model Evaluation, Supervised Learning

    Intermediate · Course · 1 - 3 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 Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Quantitative Research, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)

    4.7
    Rating, 4.7 out of 5 stars
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • University of Michigan

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Data-Driven Decision-Making, Statistical Analysis, Jupyter, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    3.4K reviews

    Beginner · Specialization · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations

    Intermediate · Specialization · 3 - 6 Months