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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
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      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Google Cloud

      BigQuery ML を推論に使用する

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Machine Learning, Predictive Modeling, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 한국어

      Skills you'll gain: Generative AI, Customer Relationship Management, Workflow Management, Google Cloud Platform, Applied Machine Learning, Big Data, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Modeling, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Docs - 简体中文

      Skills you'll gain: Generative AI, Prompt Engineering, Google Workspace, Large Language Modeling, Grammar, Technical Writing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Interpretability & Transparency - Deutsch

      Skills you'll gain: Data Ethics, Data Analysis, Data Science, Analysis, Applied Machine Learning, Data Visualization Software, Artificial Intelligence, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - 日本語版

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Continuous Monitoring, Data Quality

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Machine Learning, Data Integrity, Artificial Intelligence, Technical Documentation, Data Governance

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Big Data, Predictive Modeling, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Information Privacy, Cloud Security, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Security, Application Security, Security Controls, Artificial Intelligence, Safety and Security, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery 머신러닝을 사용한 추론

      Skills you'll gain: Data Analysis, Big Data, MLOps (Machine Learning Operations), Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Machine Learning

      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…299300301…306

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

    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
    • Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
    • BigQuery ML を推論に使用する: Google Cloud
    • Work with Gemini Models in BigQuery - 한국어: Google Cloud
    • Gemini in Google Docs - 简体中文: Google Cloud
    • Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
    • Vector Search and Embeddings - 日本語版: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
    • Work with Gemini Models in BigQuery - 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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