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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
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Blender 4 - Geometry Nodes for Beginners

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Cluster Analysis and Unsupervised Machine Learning in Python

      Skills you'll gain: Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Science, Statistical Methods, Algorithms, NumPy, Python Programming

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 日本語版

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), CI/CD, Tensorflow, Apache Airflow, Data Pipelines, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Netzkonvergenzstudien in der Finiten Elemente Methode

      Skills you'll gain: Finite Element Methods, Simulations, Engineering Analysis, Numerical Analysis, Mechanical Design, 3D Modeling, Scientific Visualization, Cloud Computing, Structural Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어

      Skills you'll gain: Control Systems, Simulation and Simulation Software, Graph Theory, Mathematical Modeling, Artificial Intelligence, Computer Programming Tools, Mechanics, Algorithms, Virtual Environment, Applied Mathematics, Numerical Analysis, Differential Equations, Torque (Physics)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - Español

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

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R

      Skills you'll gain: Bioinformatics, R Programming, Molecular Biology, Data Manipulation, Programming Principles, Data Processing

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      디지털 민주주의의 명암

      Skills you'll gain: Computer Security Awareness Training, Application Security, Security Awareness, Cyber Attacks, Cybersecurity, Threat Modeling, Political Sciences, Public Policies, Vulnerability, Safety and Security, Human Factors, Technology Strategies, Emerging Technologies

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - 한국어

      Skills you'll gain: Natural Language Processing, Generative AI, Large Language Modeling, Artificial Neural Networks, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

    • H

      H2O.ai

      H2O Hydrogen Torch Starter Course

      Skills you'll gain: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Large Language Modeling, Image Analysis, Exploratory Data Analysis, Performance Tuning

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      사회적 영향을 위한 비즈니스 전략

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Philanthropy, Corporate Sustainability, Strategic Leadership, Business Leadership, Business Strategies, Business Strategy, Organizational Development, Strategic Thinking, Return On Investment, Business Metrics, Business Modeling, Business Ethics, Organizational Leadership, Sustainability Reporting, Socioeconomics, Investment Management, Investments, Community and Social Work, Governance

      Mixed · 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…275276277…294

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

    • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
    • Blender 4 - Geometry Nodes for Beginners: Packt
    • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
    • ML Pipelines on Google Cloud - 日本語版: Google Cloud
    • Netzkonvergenzstudien in der Finiten Elemente Methode: Coursera Project Network
    • 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
    • Encoder-Decoder Architecture - Español: Google Cloud
    • عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R: Coursera Project Network
    • 디지털 민주주의의 명암: University of Michigan
    • Transformer Models and BERT Model - 한국어: 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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