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"

  • 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

  • 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

  • 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

  • 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

  • Skills you'll gain: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Analytics, Advanced Analytics, Correlation Analysis, Data Analysis, Statistical Reporting, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Data Presentation, Predictive Analytics, Statistical Visualization, Scatter Plots

  • From the course: Statistics Foundations·Lesson: Statistical Modeling

  • 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

  • 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

  • From the course: Clustering and Classification with Machine Learning in R·Lesson: Machine Learning for Data Science

  • 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

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

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