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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: New
      New
      G

      Google Cloud

      MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어

      Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 打造生成式 AI 應用程式

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Google Cloud Platform, Cloud Applications, Cloud Development, AI Personalization

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Vector Search ve Yerleştirilmiş Öğeler

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Information Architecture, Natural Language Processing, Applied Machine Learning, Machine Learning Methods, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Membuat Aplikasi AI Generatif di Google Cloud

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Google Cloud Platform, Cloud Computing Architecture, Application Development, Natural Language Processing, Prototyping

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

      Skills you'll gain: Open Source Technology, Data Ethics, Google Cloud Platform, Artificial Intelligence, MLOps (Machine Learning Operations), Machine Learning, Data Analysis Software

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Utiliser BigQuery Machine Learning pour l'inférence

      Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Manipulation, Software Documentation, R Programming, Microsoft Copilot, Microsoft Visual Studio, Program Development, Data Import/Export, Statistical Analysis, Development Environment, Integrated Development Environments, Descriptive Statistics, Statistical Programming, Data Cleansing, Data Analysis, Programming Principles, Debugging, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      AI 时代安全性简介

      Skills you'll gain: Data Security, Security Strategy, Security Management, Information Assurance, Threat Modeling, Security Controls, Infrastructure Security, Security Requirements Analysis, Cybersecurity, Artificial Intelligence, Threat Detection, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Verification And Validation, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      AI 보안 소개

      Skills you'll gain: Security Strategy, Threat Modeling, Threat Management, Security Requirements Analysis, Information Assurance, Cybersecurity, Security Controls, Data Security, Artificial Intelligence, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Generative AI, Data Integrity, Data Pipelines

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Modernisasi Situs dengan AI Generatif di Google Cloud

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Google Cloud Platform, UI/UX Strategy, User Experience, Content Management, Image Analysis

      Beginner · Course · 1 - 4 Weeks

    Statistical Modeling learners also search

    Data Modeling
    Statistical Analysis
    Predictive Modeling
    Predictive Analytics
    Advanced R Programming
    Statistical Inference
    Statistics
    Beginner Predictive Analytics
    1…300301302…306

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

    • MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
    • 在 Google Cloud 打造生成式 AI 應用程式: Google Cloud
    • Vector Search ve Yerleştirilmiş Öğeler: Google Cloud
    • Membuat Aplikasi AI Generatif di Google Cloud: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
    • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
    • R Programming Essentials with Microsoft Tools: Microsoft
    • AI 时代安全性简介: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
    • AI 보안 소개: 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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