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

    4.2 stars, 69 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, Data Modeling, Applied Mathematics

    4.4 stars, 800 reviews, Advanced, Specialization, 3 - 6 Months

  • Microsoft

    Skills you'll gain: Logistic Regression, Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Data Analysis, Regression Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Statistical Programming, R Programming, R (Software), Predictive Modeling, Analytics, Technical Communication, Analysis

    Beginner · Course · 1 - 3 Months

  • 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 stars, 1.8K reviews, Beginner, Course, 1 - 4 Weeks

  • University of California, Santa Cruz

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

    4.5 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 stars, 145 reviews, Mixed, Course, 1 - 4 Weeks

  • 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

  • Coursera

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

    Intermediate · Course · 1 - 3 Months

  • Sage Publications

    Skills you'll gain: Time Series Analysis and Forecasting, Stata, STATA (Software), Forecasting, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Transformation, Statistical Reporting, Statistical Software, Regression Analysis, Statistical Methods, Advanced Analytics, Data Manipulation, Analysis, Data Analysis, Correlation Analysis, Model Evaluation, Structural Analysis, Computer Programming

    Intermediate · Course · 1 - 3 Months

  • Sage Publications

    Skills you'll gain: Stata, STATA (Software), Quantitative Research, General Science and Research, Regression Analysis, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Data Entry, Descriptive Analytics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Programming, Data Analysis, Data Import/Export, Statistical Modeling, Logistic Regression, Time Series Analysis and Forecasting, Structural Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Stanford Online

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6 stars, 1.6K reviews, Advanced, Specialization, 3 - 6 Months

  • EDUCBA

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning

    Beginner · Specialization · 1 - 3 Months