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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

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

      Skills you'll gain: Applied Machine Learning, Machine Learning Algorithms, Data Quality, Machine Learning, Supervised Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      IT Systems Design and Analysis 

      Skills you'll gain: Unified Modeling Language, Systems Analysis, Systems Design, Systems Architecture, Business Process Modeling, Requirements Analysis, Software Architecture, User Requirements Documents, Functional Requirement, Process Flow Diagrams, Business Process, Risk Analysis, Feasibility Studies, Object Oriented Design

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island

      Skills you'll gain: Apple iOS, Swift Programming, Apple Xcode, Mobile Development, Cross Platform Development, User Interface (UI), Application Programming Interface (API), Real Time Data, Data Modeling

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Data Processing, Google Cloud Platform, Tensorflow, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dataflow, Predictive Analytics, Containerization, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - 繁體中文

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Natural Language Processing, Application Programming Interface (API), Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Methods, Deep Learning, Natural Language Processing, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka

      Skills you'll gain: Cloud Security, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Application Security, Artificial Intelligence, Data Security, Personally Identifiable Information, Information Systems Security, Applied Machine Learning, Machine Learning, Software Visualization, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Safety and Security, Data Quality, Technical Documentation, Data Validation

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning - Italiano

      Skills you'll gain: Applied Machine Learning, Data Quality, Machine Learning Methods, Machine Learning, Data Cleansing, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Exploratory Data Analysis, Predictive Modeling, Performance Tuning, Big Data, Sampling (Statistics), Regression Analysis

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Español

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Data Processing, Scalability, Data Transformation, Application Deployment, Artificial Neural Networks, Data Pipelines, Machine Learning, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Français

      Skills you'll gain: Marketing Analytics, Analytics, Customer Analysis, Generative AI, Data Analysis, Customer Insights, Google Cloud Platform, Customer Data Management, Marketing Strategies, Predictive Modeling, Customer Acquisition Management, Forecasting, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

      Advanced · Course · 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…294295296…305

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

    • Launching into Machine Learning - 한국어: Google Cloud
    • IT Systems Design and Analysis : SkillUp EdTech
    • Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island: Packt
    • Machine Learning in the Enterprise - 한국어: Google Cloud
    • Vector Search and Embeddings - 繁體中文: Google Cloud
    • Encoder-Decoder Architecture - 日本語版: Google Cloud
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
    • Launching into Machine Learning - Italiano: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 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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