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 Analysis, R (Software), Statistical Programming, Predictive Modeling, Data Science, Predictive Analytics, Probability & Statistics, General Science and Research, Correlation Analysis, Quantitative Research

    4.2 stars, 69 reviews, Intermediate, Specialization, 3 - 6 Months

  • Coursera

    Skills you'll gain: Descriptive Statistics, Data Analysis, Predictive Modeling, Predictive Analytics, Analytics, Statistical Modeling, Business Analytics, Statistical Hypothesis Testing, Exploratory Data Analysis, Data-Driven Decision-Making, Customer Analysis, Data Science, Model Evaluation, Scikit Learn (Machine Learning Library), Statistical Analysis, Feature Engineering, Applied Machine Learning, 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 Analysis, Correlation Analysis, Model Evaluation, Dimensionality Reduction, Structural Analysis, Computer Programming

    Intermediate · Course · 1 - 3 Months

  • Sage Publications

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

    Intermediate · Specialization · 3 - 6 Months

  • Meta

    From the course: Statistics Foundations·Lesson: Statistical Modeling

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    18k views

    Micro Lesson · 3 minutes

  • Pearson

    Skills you'll gain: Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Science, Probability & Statistics, Statistical Methods, Statistical Inference, Applied Machine Learning, Business Analytics, Model Training, Data Analysis, Statistical Analysis, Statistics, Machine Learning Algorithms, Probability Distribution, Estimation

    Beginner · Course · 1 - 4 Weeks

  • Johns Hopkins University

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2 stars, 4.5K reviews, Mixed, Course, 1 - 4 Weeks

  • Johns Hopkins University

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing

    4.4 stars, 3.4K reviews, Mixed, Course, 1 - 4 Weeks

  • University of Colorado Boulder

    Skills you'll gain: Statistical Analysis, Statistical Methods, Matplotlib, Regression Analysis, Machine Learning Methods, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Climate Change Programs, Energy and Utilities, Data Visualization, Pandas (Python Package), Environmental Issue, Climate Change Mitigation

    4.3 stars, 16 reviews, Intermediate, Specialization, 1 - 3 Months

  • ESSEC Business School

    From the course: Foundations of strategic business analytics·Lesson: Wrap-up: identifying causes to effects

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    7.4k views

    Micro Lesson · 2 minutes

  • Pearson

    From the course: Data Science Fundamentals, Part 2: Statistical Modeling and ML·Lesson: Statistical Modeling and Machine Learning

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    10 views

    Micro Lesson · 29 minutes

  • Arizona State University

    From the course: Probability, Statistical Inference and Regression Analysis·Lesson: How Big Data Impacts Statistics

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    109 views

    Micro Lesson · 10 minutes