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.

50credentials

2online degrees

198courses

Explore the Statistical Modeling Course Catalog

Northeastern University
Master of Science in Engineering Management
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Diplomado en Analítica de los Negocios
Skills you'll gain: Descriptive Analytics, Business Analytics, Data Mining, Predictive Analytics, Dimensionality Reduction, Data Analysis, R Programming, Statistical Modeling, Big Data, Visualization (Computer Graphics), Scientific Visualization, Predictive Modeling, Data Modeling, Analytics, Advanced Analytics, Data Visualization Software, Regression Analysis, Data-Driven Decision-Making, Statistical Visualization, Analytical Skills
Credit offered
Mastertrack · 6 - 12 Months