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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

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      116 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Demand Analytics

      Skills you'll gain: Demand Planning, Data Collection, Forecasting, Supply Chain Planning, Statistical Modeling, Data Processing, Market Dynamics, Time Series Analysis and Forecasting, Trend Analysis, Regression Analysis, Exploratory Data Analysis, Data Validation, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      290 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure 日本語版

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Cloud Services, Identity and Access Management, Infrastructure As A Service (IaaS), Kubernetes, Cloud Computing, Virtual Machines, Cloud Storage, Large Language Modeling, Application Development, Network Infrastructure, Generative AI, Containerization, Serverless Computing, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      706 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Power BI Fundamentals

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Dashboard, Business Intelligence, Data Import/Export, Business Reporting, Interactive Data Visualization, Data Storytelling, Data Modeling, Data Transformation, Data Visualization Software, Data Analysis, Data Sharing, Sales, Key Performance Indicators (KPIs)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning

      Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      235 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Impact, Considerations, and Ethical Issues

      Skills you'll gain: Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Artificial Intelligence, Environmental Social And Corporate Governance (ESG), Machine Learning, Intellectual Property, Information Privacy, Workforce Management, Workforce Development, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      230 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of AI Agents Using RAG and LangChain

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Generative AI, Artificial Intelligence, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Integral Calculus through Data and Modeling

      Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Linear Algebra, Probability, Geometry, Visualization (Computer Graphics), Mechanics, Engineering Calculations, Graphing, Spatial Data Analysis, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      124 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      Edureka

      Data Storytelling with Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Dashboard, Data Visualization Software, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Modeling, Business Intelligence, Microsoft Excel, Data Manipulation, Performance Reporting, Data Cleansing, Report Writing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Campus BBVA

      Data & Cybersecurity

      Skills you'll gain: Security Information and Event Management (SIEM), Computer Security Incident Management, Data Security, Crisis Management, Security Management, Cybersecurity, Incident Management, Cyber Attacks, Cyber Risk, Safety and Security, Threat Modeling, Security Awareness, Data Processing, Anomaly Detection, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      272 reviews

      Intermediate · Course · 1 - 3 Months

    Statistical Modeling learners also search

    Data Modeling
    Statistical Analysis
    Predictive Modeling
    Predictive Analytics
    Advanced R Programming
    Statistical Inference
    Statistics
    Beginner Predictive Analytics
    1…798081…306

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

    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • Demand Analytics: Rutgers the State University of New Jersey
    • Google Cloud Fundamentals: Core Infrastructure 日本語版: Google Cloud
    • Power BI Fundamentals: Corporate Finance Institute
    • Microsoft Azure Machine Learning: Microsoft
    • Generative AI: Impact, Considerations, and Ethical Issues: IBM
    • Fundamentals of AI Agents Using RAG and LangChain: IBM
    • Fundamentos de estadística aplicada: Universidad de los Andes
    • Integral Calculus through Data and Modeling: Johns Hopkins University
    • Data Storytelling with Power BI: Edureka

    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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