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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
      A

      Arizona State University

      Semiconductor Packaging

      Skills you'll gain: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Manufacturing Operations, Manufacturing Processes, Manufacturing Standards, Electronics, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Hardware Architecture, Thermal Management, Scalability, Electronics Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      208 reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Interest Rate Models

      Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      193 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Search Expert

      Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Data Wrangling, Performance Tuning, Statistical Methods, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Exploratory Data Analysis, Transaction Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Getting Started with R

      Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      380 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Designing, Running, and Analyzing Experiments

      Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, A/B Testing, Statistical Hypothesis Testing, Data Analysis, UI/UX Research, R Programming, User Experience, Research Design, Human Computer Interaction, Statistical Modeling

      3.6
      Rating, 3.6 out of 5 stars
      ·
      592 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Data Modeling, Business Requirements, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      741 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Physics 101 - Forces and Kinematics

      Skills you'll gain: Mechanics, Physics, Engineering Calculations, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Outbreaks and Epidemics

      Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Public Health and Disease Prevention, Biostatistics, Laboratory Testing, Statistical Analysis, Probability & Statistics, Research Methodologies, Report Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      753 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Cloud Storage, Data Warehousing, Unstructured Data, Real Time Data, Data Lakes, Cloud Engineering, Data Infrastructure, Big Data, Cloud Infrastructure, MLOps (Machine Learning Operations), Dashboard, Data Processing, Extract, Transform, Load, Data Analysis, Data Architecture, Database Architecture and Administration, Data Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      296 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics: Communicating with Data

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Collection, Data Quality, Business Analytics, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Communication, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      629 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Desarrollo y Diseño de Videojuegos

      Skills you'll gain: Animation and Game Design, Game Design, Video Game Development, Scrum (Software Development), Unity Engine, Value Propositions, Functional Specification, Sprint Retrospectives, Business Modeling, Agile Methodology, Agile Software Development, Software Design Documents, Software Development Methodologies, Interaction Design, Software Documentation, Interactive Design, User Interface (UI), Virtual Environment, Augmented and Virtual Reality (AR/VR), Virtual Reality

      4.5
      Rating, 4.5 out of 5 stars
      ·
      390 reviews

      Intermediate · Specialization · 3 - 6 Months

    Statistical Modeling learners also search

    Data Modeling
    Statistical Analysis
    Predictive Modeling
    Predictive Analytics
    Advanced R Programming
    Statistical Inference
    Statistics
    Beginner Predictive Analytics
    1…838485…306

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

    • Semiconductor Packaging: Arizona State University
    • Interest Rate Models: École Polytechnique Fédérale de Lausanne
    • Splunk Search Expert: Splunk Inc.
    • Getting Started with R: Coursera Project Network
    • Designing, Running, and Analyzing Experiments: University of California San Diego
    • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
    • Physics 101 - Forces and Kinematics : Rice University
    • Outbreaks and Epidemics: Johns Hopkins University
    • Linear Regression in R for Public Health : Imperial College London
    • Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版: Google Cloud

    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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