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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 Maryland, College Park

      Hardware Security

      Skills you'll gain: Security Engineering, Computer Hardware, Hardware Architecture, Threat Modeling, Threat Detection, Cybersecurity, Application Specific Integrated Circuits, Cryptography, Encryption, Emerging Technologies, Authentications, System Design and Implementation, Computational Logic

      4.3
      Rating, 4.3 out of 5 stars
      ·
      687 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning in the Enterprise

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Feature Engineering, Continuous Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Foundations of Healthcare Systems Engineering

      Skills you'll gain: Health Systems, Systems Engineering, Health Technology, Healthcare Industry Knowledge, Health Care, Systems Integration, Systems Analysis, System Requirements, System Testing, Requirements Analysis, Enterprise Architecture, Solution Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      283 reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Искусственный Интеллект (ИИ) для всех

      Skills you'll gain: Market Opportunities, Technical Management, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Artificial Intelligence, Data Science, Artificial Neural Networks, Machine Learning, Strategic Thinking, Discussion Facilitation, Business Ethics, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Advanced Programmer

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Program Development, Data-Driven Decision-Making, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Statistical Programming, Data Manipulation, Data Structures, Data Transformation, Debugging, Data Validation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      399 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Mathematical Modeling

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business Forecasting

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Financial Forecasting, Regression Analysis, Microsoft Excel, Demand Planning, Excel Formulas, Trend Analysis, Business Mathematics, Predictive Modeling, Business Metrics, Strategic Thinking, Data Presentation, Statistical Visualization, Graphing, Market Trend, Business Economics, Key Performance Indicators (KPIs), Statistical Modeling, Exploratory Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      306 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Classification And Regression Tree (CART), Machine Learning, Applied Mathematics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Probability & Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      932 reviews

      Beginner · 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

    • U

      University of Glasgow

      MBA Essentials

      Skills you'll gain: Business Administration, Leadership Studies, Digital Transformation, Supply Chain Management, Marketing, Financial Data, Innovation, Corporate Sustainability, Accounting, Business Modeling, Change Management, Business Economics, Project Management, Business Strategies, Global Marketing, Digital Marketing, B2B Sales

      4.6
      Rating, 4.6 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Arithmetic, Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Combinatorics, Algebra, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Customer-Centric IT Strategy

      Skills you'll gain: Information Technology, Business Strategy, Design Thinking, Process Design, Large Language Modeling, Cybersecurity, Business Modeling, Agile Methodology, Artificial Intelligence, Project Portfolio Management, Cost Benefit Analysis, Technical Communication, User Story

      4.6
      Rating, 4.6 out of 5 stars
      ·
      664 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…565758…306

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

    • Hardware Security: University of Maryland, College Park
    • Machine Learning in the Enterprise: Google Cloud
    • Foundations of Healthcare Systems Engineering: Johns Hopkins University
    • Искусственный Интеллект (ИИ) для всех: DeepLearning.AI
    • SAS Advanced Programmer: SAS
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Excel Skills for Business Forecasting: Macquarie University
    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • MBA Essentials: University of Glasgow

    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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