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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

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Business Analysis, Data Validation, Business Analytics, Data Import/Export, Process Optimization, Data Analysis Software, Business Modeling, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Data Security & Information Privacy

      Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Security, Threat Detection, Threat Modeling, Vulnerability Assessments, General Data Protection Regulation (GDPR), Data Governance, Cyber Risk, Data Ethics, Data Integrity, Encryption, Data Encryption Standard, Risk Management Framework, Network Security, Cryptography, Risk Modeling, Statistical Methods

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Explore & Configure the Machine Learning Workspace

      Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      CBAP Certification Business Analysis Training

      Skills you'll gain: Requirements Management, Solution Design, Business Analysis, Requirements Elicitation, Stakeholder Management, Requirements Analysis, Business Requirements, Systems Analysis, Business Strategy, Business Process, Business Process Management, Business Intelligence, Risk Analysis, Agile Methodology, Performance Measurement

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Introduction to Continuous Improvement Process

      Skills you'll gain: Statistical Process Controls, ISO 9000 Series, Product Quality (QA/QC), Quality Management Systems, Quality Management, Quality Improvement, Customer experience improvement, Continuous Improvement Process, Process Improvement, Kaizen Methodology, Customer Insights, Data-Driven Decision-Making

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dassault Systèmes

      xDesign Advanced Sketching and Reference Geometry

      Skills you'll gain: SolidWorks (CAD), Computer-Aided Design, Technical Drawing, Engineering Drawings, 3D Modeling

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Getting Started with IT-based Entrepreneurship

      Skills you'll gain: Business Modeling, Entrepreneurship, New Business Development, Emerging Technologies, Technology Strategies, Business Strategies, Information Technology, Legal Risk, Innovation, Team Building

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SAP

      Requirements Gathering and Documentation

      Skills you'll gain: User Story, Requirements Elicitation, Requirements Management, Business Requirements, User Requirements Documents, Requirements Analysis, Verification And Validation, SAP Applications, Functional Specification, User Acceptance Testing (UAT), Stakeholder Engagement, Process Mapping

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Microsoft Copilot for Power BI: AI-Powered Report Insights

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Data Modeling, Business Intelligence, Microsoft Excel, Data Visualization Software, Microsoft Copilot, Data Integration, Interactive Data Visualization, Data-Driven Decision-Making, Data Manipulation, Data Transformation, Data Cleansing, ChatGPT

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Álgebra básica

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      U

      Universidad de los Andes

      Fundamentos del uso de IA generativa

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Creativity, Ethical Standards And Conduct, Content Creation

      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…262728…306

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

    • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
    • Data Security & Information Privacy: Macquarie University
    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
    • CBAP Certification Business Analysis Training: Simplilearn
    • Introduction to Continuous Improvement Process: Board Infinity
    • xDesign Advanced Sketching and Reference Geometry: Dassault Systèmes
    • Getting Started with IT-based Entrepreneurship: University of Minnesota
    • Introduction to Machine Learning: Duke University
    • Requirements Gathering and Documentation: SAP
    • Microsoft Copilot for Power BI: AI-Powered Report Insights: Coursera Instructor Network

    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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