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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

    • U

      University of Maryland, College Park

      Digital Marketing 2

      Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Español

      Skills you'll gain: Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Data Visualization Software, Machine Learning, Predictive Modeling, Technical Communication, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 简体中文

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Einführung in Sicherheitskonzepte in der Welt der KI

      Skills you'll gain: Security Strategy, Personally Identifiable Information, Enterprise Security, Threat Modeling, Data Security, Security Management, Information Assurance, Infrastructure Security, Data Ethics, Security Requirements Analysis, Cybersecurity, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP - Italiano

      Skills you'll gain: Google Cloud Platform, Tensorflow, Unstructured Data, MLOps (Machine Learning Operations), Applied Machine Learning, Big Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Predictive Modeling, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - Deutsch

      Skills you'll gain: Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Information Architecture, Google Cloud Platform, Natural Language Processing, Cloud API, Program Development, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Français

      Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Feature Engineering, Data Processing, Google Cloud Platform, Data Modeling, Data Management, DevOps, Application Deployment, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

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

      Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Machine Learning, Verification And Validation, Data Validation, Visualization (Computer Graphics), Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 한국어

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Deutsch

      Skills you'll gain: Google Cloud Platform, Customer Analysis, Generative AI, Marketing Analytics, Big Data, Analytics, Advanced Analytics, Customer Insights, Data-Driven Decision-Making, Data Analysis, Predictive Modeling, Applied Machine Learning, Marketing Strategies, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - 한국어

      Skills you'll gain: Customer Insights, Customer Analysis, Machine Learning Methods, Artificial Intelligence, Sales Strategy, Generative AI, Google Cloud Platform, Predictive Analytics, Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies, Data Modeling

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

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

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Verification And Validation, System Monitoring, Machine Learning, Data Validation, A/B Testing, Data Quality

      Intermediate · 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…296297298…306

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

    • Digital Marketing 2: University of Maryland, College Park
    • Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
    • Einführung in Sicherheitskonzepte in der Welt der KI: Google Cloud
    • Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
    • Vector Search and Embeddings - Deutsch: Google Cloud
    • MLOps with Vertex AI: Manage Features - Français: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
    • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
    • Gemini for Data Scientists and Analysts - Deutsch: 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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