What is statistical modeling?

Statistical modeling is the process of using statistics to analyze data and make it usable for decision-making and analysis. It involves using computer programs to pull out numbers from data sets, identify trends, make predictions, and understand different situations. Most statistical modeling results in charts, graphs, or other types of reports to explain the data.

Why is it important to learn statistical modeling?

It's important to learn statistical modeling for many reasons to comprehend related material as a student and fulfill work-related requirements. Students often need to learn it because it's used in many different academic fields to understand the material. Many occupations either involve doing statistical analysis or being able to use the output in order to make decisions. Because of the way that data is reported in the media, it's helpful for members of the general public to have some understanding of how statistical modeling works.

What are typical careers that use statistical modeling?

Typical careers that use statistical modeling are medical research, scientific research, and financial analysis, but it is a component of many different fields. People working in marketing and sales use statistical modeling to build forecasts and generate prospects. Business managers use it to make decisions and to share information. Academics use it to understand trends and patterns in their fields. Journalists use statistical modeling to present information in their stories. By turning data into usable information, including charts and graphs, statistical modeling can add value to many different fields. People who understand the fundamentals of quantitative modeling and statistical model can expect the skill to enhance their careers.

How can taking online courses on Coursera help me learn statistical modeling?

Taking online courses on Coursera can help you learn statistical modeling in different ways, depending on your interests and needs. Some courses cover the fundamentals of statistics, which may be helpful if you have little background in the area. Others look at how statistical modeling is done with different software packages, such as Python, Excel, or SAS. Many classes focus on the uses of statistical modeling in specific fields, such as artificial intelligence, finance, or history. All classes include projects that help you apply what you learn.

What are the benefits of taking an online Statistical Modeling course?

Online Statistical Modeling courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Modeling skills. Choose from a wide range of Statistical Modeling courses offered by top universities and industry leaders tailored to various skill levels.

What Statistical Modeling courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistical Modeling, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Best Statistical Modeling Courses & Certificates [2025]

Explore the Statistical Modeling Course Catalog

Status: Free Trial
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra
Build toward a degree
4.2
Rating, 4.2 out of 5 stars
53 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Santa Cruz
Bayesian Statistics
Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Statistics, Probability, Statistical Machine Learning, Statistical Analysis, Statistical Methods, Markov Model, Data Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Data Science, Probability Distribution, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
3.5K reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Preview
EDUCBA
SAS: Apply & Evaluate Poisson & Negative Binomial Models
Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Pennsylvania
Fundamentals of Quantitative Modeling
Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Markov Model, Probability, Predictive Analytics, Process Optimization, Risk Management, Statistics, Probability Distribution, Simulation and Simulation Software, Forecasting
4.6
Rating, 4.6 out of 5 stars
9.2K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Statistical Inference
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
Rating, 4.2 out of 5 stars
4.4K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Stanford University
Probabilistic Graphical Models
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Advanced · Specialization · 3 - 6 Months

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Status: Free Trial
Illinois Tech
Statistical Learning
Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning Algorithms, Applied Machine Learning, Regression Analysis, Probability & Statistics, Advanced Analytics, Machine Learning, Bayesian Statistics, Statistical Inference, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Feature Engineering
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2
4.7
Rating, 4.7 out of 5 stars
19 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
Status: Preview
Northeastern University
Statistical Learning for Engineering Part 1
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Pittsburgh
Statistics and Calculus Methods for Data Analysis
Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Pandas (Python Package), Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
University of Pittsburgh
Probability Theory and Regression for Predictive Analytics
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Birla Institute of Technology & Science, Pilani
Probability and Statistics
Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization
Beginner · Course · 1 - 3 Months