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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 Cape Town

      Julia Scientific Programming

      Skills you'll gain: Box Plots, Jupyter, Statistical Analysis, Data Visualization, Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Data Science, Other Programming Languages, Data Import/Export, Computer Programming, Mathematical Modeling, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      433 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Systèmes d’Information Géographique - Partie 1

      Skills you'll gain: GIS Software, Geographic Information Systems, Spatial Data Analysis, Data Modeling, Databases, NoSQL, Data Storage, Data Storage Technologies, Query Languages, SQL, Relational Databases

      4.5
      Rating, 4.5 out of 5 stars
      ·
      284 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories

      Skills you'll gain: Structural Analysis, Engineering Design Process, Failure Analysis, Engineering Analysis, Mechanical Design, Engineering Calculations, Mechanical Engineering, Mechanics, Mathematical Modeling, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      799 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      181 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing Applications with Google Cloud 日本語版

      Skills you'll gain: Prompt Engineering, Application Deployment, Google Cloud Platform, Cloud Infrastructure, Cloud Applications, Cloud Development, Cloud Services, Identity and Access Management, Infrastructure As A Service (IaaS), Kubernetes, Cloud Computing, Virtual Machines, Cloud API, Large Language Modeling, Performance Tuning, Authentications, Serverless Computing, Network Infrastructure, Application Development, Cloud Storage

      4.5
      Rating, 4.5 out of 5 stars
      ·
      732 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Requirements Writing

      Skills you'll gain: Concision, Technical Writing, Requirements Management, Requirements Analysis, Business Requirements, Functional Requirement, Writing, User Requirements Documents, System Requirements, Product Requirements, Proofreading, Editing, Grammar, Style Guides, Verification And Validation, Systems Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      342 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      JavaScript Security

      Skills you'll gain: Authentications, Application Security, Serverless Computing, Secure Coding, Security Testing, Cryptography, Risk Management Framework, Threat Modeling, Cloud Security, Infrastructure Security, Package and Software Management, Node.JS, Web Applications, Javascript, Vulnerability Management, Cloud Services, Cloud Platforms, Web Development, Identity and Access Management, Dependency Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      107 reviews

      Intermediate · Specialization · 1 - 3 Months

    • L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Security in Google Cloud 日本語版

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Distributed Denial-Of-Service (DDoS) Attacks, Identity and Access Management, Kubernetes, Cloud Services, Cloud Security, Infrastructure As A Service (IaaS), Security Controls, Cloud Computing, Virtual Machines, Large Language Modeling, Threat Management, Data Loss Prevention, Cloud Storage, Application Development, Threat Detection, Malware Protection, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      707 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      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…777879…306

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

    • Julia Scientific Programming: University of Cape Town
    • Systèmes d’Information Géographique - Partie 1: École Polytechnique Fédérale de Lausanne
    • Developing Data Products: Johns Hopkins University
    • Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories: Georgia Institute of Technology
    • Large Language Model Operations (LLMOps): Duke University
    • Developing Applications with Google Cloud 日本語版: Google Cloud
    • Requirements Writing: UNSW Sydney (The University of New South Wales)
    • JavaScript Security: Infosec
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Exploratory Data Analysis: University of Leeds

    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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