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: Dashboard Creation, Dashboard, SPSS (Software), SPSS, Descriptive Analytics, Data Transformation, Data Visualization, Logistic Regression, Statistical Hypothesis Testing, Statistical Machine Learning, Regression Analysis, Analytics, Correlation Analysis, Advanced Analytics, Data Presentation, Data Preprocessing, Descriptive Statistics, Statistical Analysis, Statistical Modeling, Data Analysis

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

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

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

  • From the course: Regression Analysis for Statistics & Machine Learning in R·Lesson: Get Started with Practical Regression Analysis in R

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

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

  • Skills you'll gain: Stata, STATA (Software), Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Statistical Software, Statistical Visualization, Data Visualization, Data Manipulation, Logistic Regression, Simulations, Data Transformation, Graphing

  • Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Predictive Modeling, Logistic Regression, Predictive Analytics, Statistical Analysis, Model Evaluation, Statistical Modeling, Regression Analysis, Correlation Analysis, Statistical Software, Model Training, Statistical Methods, Statistical Inference, Business Analytics, Probability & Statistics, Model Deployment, Data Analysis, Supervised Learning, Data Preprocessing

  • From the course: SAS: Apply & Evaluate Poisson & Negative Binomial Models·Lesson: Advanced Poisson Model Implementation

  • From the course: Statistics Foundations

  • Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Predictive Modeling, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Data Analysis Software, Predictive Analytics, Statistical Methods, Descriptive Statistics, Statistical Software, Statistical Modeling, Forecasting, Statistics, Microsoft Excel, Statistical Inference