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    • Statistical Modeling

    Statistical Modeling Courses Online

    Master statistical modeling for predictive analytics. Learn to build and validate models for various types of data.

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    Explore the Statistical Modeling Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Trigonometry, Cost Estimation, Mathematical Software, Linear Algebra, Operations Research, Data Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      349 reviews

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique

      Quantum Optics 1 : Single Photons

      Skills you'll gain: Physics, Experimentation, Quantitative Research, Cryptography, Mathematical Modeling, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      332 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Hacer negocios en América Latina

      Skills you'll gain: Business Strategy, Innovation, International Finance, Financial Market, Global Marketing, World History, Economics, Business Economics, Business Development, Economic Development, Entrepreneurship, Corporate Sustainability, Socioeconomics, Strategic Partnership, New Business Development, Corporate Strategy, Business Modeling, Competitive Analysis, Business, Political Sciences

      4.8
      Rating, 4.8 out of 5 stars
      ·
      469 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Quantitative Research

      Skills you'll gain: Surveys, Survey Creation, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Statistical Methods, Data Analysis, Marketing, Target Market, Sample Size Determination, Quality Control

      4.4
      Rating, 4.4 out of 5 stars
      ·
      337 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

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

      Snowflake

      Snowflake Generative AI

      Skills you'll gain: Prompt Engineering, Generative AI, Data Manipulation, OpenAI, ChatGPT, Large Language Modeling, Application Deployment, Data Lakes, Data Warehousing, SQL, Natural Language Processing, Unstructured Data, Data Pipelines, Cloud Applications, Extract, Transform, Load, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Artificial Intelligence, Stored Procedure, Application Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      114 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Security Testing, Debugging, Maintainability, Software Engineering, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Statistical Molecular Thermodynamics

      Skills you'll gain: Physics, Thermal Management, Chemistry, Physical Science, Engineering Calculations, Molecular, Cellular, and Microbiology, Applied Mathematics, Calculus, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      359 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      373 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Power Platform Fundamentals PL-900 Exam Prep

      Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Power BI, Dashboard, Data Visualization, Data Integration, Business Intelligence, Business Process Automation, Productivity Software, Application Development, Performance Analysis, Automation, Data Security, Workflow Management, Cloud Applications, Data Analysis Software, Business Process, Generative AI Agents, Microsoft Teams, Data Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      176 reviews

      Beginner · Specialization · 1 - 3 Months

    Statistical Modeling learners also search

    Data Modeling
    Statistical Analysis
    Predictive Modeling
    Predictive Analytics
    Advanced R Programming
    Statistical Inference
    Statistics
    Beginner Predictive Analytics
    1…636465…306

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

    • Differential Calculus through Data and Modeling: Johns Hopkins University
    • Quantum Optics 1 : Single Photons: École Polytechnique
    • Hacer negocios en América Latina: Tecnológico de Monterrey
    • Statistics for Data Science with Python: IBM
    • Quantitative Research: University of California, Davis
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Snowflake Generative AI: Snowflake
    • Team Software Engineering with AI: DeepLearning.AI
    • Statistical Molecular Thermodynamics: University of Minnesota
    • Statistics for Genomic Data Science: Johns Hopkins 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 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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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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