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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

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Artificial Intelligence, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, ChatGPT, Cloud Computing, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Customer Support

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Standard Operating Procedure, Customer Support, OpenAI, Customer Service, Customer experience improvement, Technical Support and Services, Procedure Development, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Customer Insights, User Feedback, Business Ethics, Language Interpretation, Translation, and Studies, Automation, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Java and Spring Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Restful API, Spring Framework, Data Ethics, Natural Language Processing, OpenAI, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Application Programming Interface (API), Java

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Large Language Modeling, Data Synthesis, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Program Managers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Program Management, Generative AI Agents, Risk Management, OpenAI, Project Management Institute (PMI) Methodology, Strategic Decision-Making, Business Risk Management, Project Management Life Cycle, Stakeholder Management, Project Management, Organizational Strategy, Large Language Modeling, Business Ethics, Stakeholder Communications, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Educators

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, AI Personalization, Education Software and Technology, OpenAI, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Ethical Standards And Conduct, Virtual Environment, Information Privacy, Diversity Awareness, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Modeling Risk and Realities

      Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Statistical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability & Statistics, Risk Analysis, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Business Analysis, Process Optimization, Microsoft Excel

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K 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…8910…300

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

    • Key Technologies for Business: IBM
    • Data Modeling, Transformation, and Serving: DeepLearning.AI
    • Introduction to Data Science: IBM
    • Generative AI for Customer Support: IBM
    • Generative AI for Java and Spring Developers: IBM
    • Generative AI for Data Engineers: IBM
    • Generative AI for Program Managers: IBM
    • Generative AI for Educators: IBM
    • Modeling Risk and Realities: University of Pennsylvania
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure

    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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