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  • Statistical Modeling

Statistical Modeling Courses

Statistical modeling courses can help you learn regression analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting statistical results, validating models, and making predictions based on data. Many courses introduce tools like R, Python, and Excel, that support implementing statistical methods and analyzing datasets effectively.


Popular Statistical Modeling Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    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, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, A/B Testing, Quantitative Research, Machine Learning, Model Evaluation

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Software, Probability Distribution, Statistical Analysis, Data Analysis, Markov Model, Model Evaluation, R (Software), Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
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    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
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    141 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

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

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    786 reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    J

    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
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    4.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Simulation Models for Decision Making

    Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Microsoft Excel, Excel Formulas, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    63 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Statistical Methods and Data Analysis

    Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Probability, Statistical Inference and Regression Analysis

    Skills you'll gain: Probability & Statistics, Analytical Skills, Exploratory Data Analysis, Estimation, Logistic Regression

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical modeling courses

  • Statistical Modeling for Data Science Applications: University of Colorado Boulder
  • Bayesian Statistics: University of California, Santa Cruz
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Introduction to Predictive Modeling: University of Minnesota
  • Regression Models: Johns Hopkins University
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Statistical Inference: Johns Hopkins University
  • Linear Regression and Modeling : Duke University
  • Simulation Models for Decision Making: University of Minnesota
  • Statistical Methods and Data Analysis : O.P. Jindal Global University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

Frequently Asked Questions about Statistical Modeling

Statistical modeling is a powerful tool used to represent complex data through mathematical frameworks. It allows researchers and analysts to understand relationships between variables, make predictions, and inform decision-making processes. By creating models that summarize data patterns, statistical modeling plays a crucial role in various fields, including economics, healthcare, and social sciences. Its importance lies in its ability to provide insights that can lead to better strategies and outcomes, making it essential for anyone looking to leverage data effectively.‎

A career in statistical modeling can open doors to various roles across multiple industries. Common job titles include data analyst, statistician, quantitative analyst, and research scientist. These positions often involve analyzing data to uncover trends, building predictive models, and providing actionable insights to guide business strategies. Additionally, roles in sectors like finance, healthcare, and technology increasingly require expertise in statistical modeling, making it a valuable skill set in today's job market.‎

To excel in statistical modeling, you should focus on developing a strong foundation in several key skills. Proficiency in statistical analysis and understanding of probability theory are essential. Familiarity with programming languages such as R or Python is also crucial, as they are commonly used for data manipulation and model building. Additionally, skills in data visualization, critical thinking, and problem-solving will enhance your ability to interpret results and communicate findings effectively.‎

There are numerous online courses available for those interested in statistical modeling. Some notable options include the Statistical Modeling for Data Science Applications Specialization, which covers essential techniques and applications. The Advanced Statistical Techniques for Data Science Specialization offers deeper insights into complex modeling methods. These courses provide structured learning paths to help you build your skills progressively.‎

Yes. You can start learning statistical modeling on Coursera for free in two ways:

  1. Preview the first module of many statistical modeling courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in statistical modeling, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning statistical modeling involves a combination of theoretical knowledge and practical application. Start by familiarizing yourself with basic statistical concepts and gradually progress to more complex topics. Engaging with online courses, such as those mentioned earlier, can provide structured guidance. Additionally, practice by working on real-world datasets, participating in online forums, and collaborating with peers to enhance your understanding and application of statistical modeling techniques.‎

Statistical modeling courses typically cover a range of topics, including descriptive statistics, inferential statistics, regression analysis, and hypothesis testing. You may also explore advanced topics like time series analysis, multivariate analysis, and machine learning techniques. These subjects provide a comprehensive understanding of how to build and interpret statistical models, equipping you with the skills needed to analyze data effectively.‎

For training and upskilling employees in statistical modeling, courses like the SAS Statistical Business Analyst Professional Certificate can be particularly beneficial. This program focuses on practical applications of statistical methods in business contexts. Additionally, the Statistical Analysis with R for Public Health Specialization offers insights into using statistical modeling for health-related data, making it suitable for organizations in the healthcare sector.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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