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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: Free Trial
      Free Trial
      I

      IBM

      Introduction to NoSQL Databases

      Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      350 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Data-Driven Decision Making (DDDM)

      Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Literacy, Process Mapping, Data Ethics, Data-Driven Decision-Making, Data Collection, Data Visualization Software, Business Process Improvement, Business Analytics, Analytics, Data Analysis, Root Cause Analysis, Data Strategy, Minitab, Lean Methodologies, Six Sigma Methodology, Process Analysis, Data Cleansing, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      448 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Universidade de São Paulo

      Consolidando empresas: Estrutura jurídica e financeira

      Skills you'll gain: Intellectual Property, Labor Law, Business Modeling, Tax Planning, Regulation and Legal Compliance, Business Valuation, Labor Compliance, Law, Regulation, and Compliance, Entrepreneurial Finance, Mergers & Acquisitions, Entrepreneurship, Corporate Tax, Business Management, Financial Modeling, Compliance Management, Financial Analysis, New Business Development, Investments, Growth Strategies, Tax Laws

      4.6
      Rating, 4.6 out of 5 stars
      ·
      477 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part II: Layout

      Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Engineering Design Process, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Mathematical Modeling, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Doing More with SAS Programming

      Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Synthesis, Data Processing, Data Integration, Data Analysis, Program Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      939 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Data Ethics, Computer Vision, Deep Learning, Applied Machine Learning, Machine Learning, Unsupervised Learning, Information Privacy, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      546 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      643 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      Instituto Tecnológico de Aeronáutica

      Princípios de Desenvolvimento Ágil de Software

      Skills you'll gain: User Story, Agile Software Development, Backlogs, Agile Methodology, Scrum (Software Development), Sprint Retrospectives, Test Driven Development (TDD), Requirements Analysis, Sprint Planning, Unified Modeling Language, Software Development Methodologies, Software Engineering, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      219 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Generative AI Essentials: Overview and Impact

      Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Natural Language Processing, Artificial Intelligence, Data Ethics, Law, Regulation, and Compliance, Technical Communication, Social Sciences, Economics, Intellectual Property

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      304 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Engineering Practices for Building Quality Software

      Skills you'll gain: Software Design Patterns, Software Design, Engineering Software, Software Quality Assurance, Software Engineering, Program Development, Application Security, Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Development Testing, Threat Modeling, Maintainability, Development Environment, Code Review, Application Deployment, Test Tools, Continuous Deployment, Quality Assurance, Continuous Delivery

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Business Analysis

      Skills you'll gain: Requirements Elicitation, Business Analysis, Process Analysis, Requirements Analysis, Digital Transformation, Business Process, Gap Analysis, Business Requirements, Business Transformation, Systems Analysis, Stakeholder Engagement, Data-Driven Decision-Making, Stakeholder Communications, Project Management, Change Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      210 reviews

      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…747576…306

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

    • Introduction to NoSQL Databases: IBM
    • Data-Driven Decision Making (DDDM): University at Buffalo
    • Consolidando empresas: Estrutura jurídica e financeira: Universidade de São Paulo
    • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
    • Doing More with SAS Programming: SAS
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • AI Capstone Project with Deep Learning : IBM
    • Princípios de Desenvolvimento Ágil de Software: Instituto Tecnológico de Aeronáutica
    • Generative AI Essentials: Overview and Impact: University of Michigan
    • Precalculus through Data and Modelling: Johns Hopkins University

    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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