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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
      U

      University of Michigan

      Using JavaScript and JSON in Django

      Skills you'll gain: jQuery, Ajax, JSON, Django (Web Framework), Javascript, Object Oriented Programming (OOP), Web Development Tools, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      283 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Supply Chain Planning

      Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Capacity Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Meeting Facilitation, Communication Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      252 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Pipelines with TensorFlow Data Services

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Feature Engineering, Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      533 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Human Factors in AI

      Skills you'll gain: Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Usability, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Law, Regulation, and Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      324 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Sciences Po

      Entreprendre dans les Industries Culturelles à l'ère du numérique

      Skills you'll gain: Promotional Strategies, Entrepreneurship, Business Leadership, Business Modeling, New Business Development, Entrepreneurial Finance, Innovation, Digital Content, Content Creation, Digital Transformation, Consumer Behaviour, Marketing Strategies, Intellectual Property

      4.6
      Rating, 4.6 out of 5 stars
      ·
      158 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      INSEAD

      Blockchain and Business

      Skills you'll gain: Intellectual Property, Blockchain, Business Transformation, Business Leadership, Governance, FinTech, Technology Strategies, Corporate Sustainability, Business, Business Modeling, Business Strategy, Emerging Technologies, Digital Transformation, Innovation, Organizational Structure, Cost Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      421 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Algorithms, Computational Thinking, Biology, Machine Learning Methods, Statistical Analysis, Data Analysis, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      BCG

      Transformación digital

      Skills you'll gain: Digital Transformation, Business Transformation, Product Lifecycle Management, Technology Strategies, Design Thinking, Competitive Analysis, Corporate Strategy, Business Strategy, Business Technologies, Business Economics, Process Design, Technology Roadmaps, Emerging Technologies, Market Dynamics, Business Modeling, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      267 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…818283…306

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

    • Using JavaScript and JSON in Django: University of Michigan
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Supply Chain Planning: University of California, Irvine
    • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
    • Human Factors in AI: Duke University
    • Survival Analysis in R for Public Health: Imperial College London
    • Entreprendre dans les Industries Culturelles à l'ère du numérique: Sciences Po
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Blockchain and Business: INSEAD
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking 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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