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    • Statistical Modeling

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    354 results for "statistical modeling"

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      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Business Analysis, Data Analysis, Statistical Analysis, Mathematics, Experiment, Statistical Tests, Econometrics, Machine Learning, Machine Learning Algorithms, Calculus, Communication, Linear Algebra, Marketing, R Programming, SQL

      4.1

      (31 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Data Analysis, Statistical Analysis, Machine Learning, Business Analysis, Statistical Tests, Theoretical Computer Science, Probability Distribution, Machine Learning Algorithms, Data Management, Statistical Machine Learning, Experiment, Mathematics, Data Mining, Deep Learning, Econometrics, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Computer Programming, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL

      Credit offered

      Graduate Certificate · 6-12 Months

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      University of Michigan

      Statistics with Python

      Skills you'll gain: Probability & Statistics, General Statistics, Statistical Programming, Python Programming, Data Science, Business Analysis, Regression, Computer Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Machine Learning, Machine Learning Algorithms, Econometrics, Data Visualization, Statistical Visualization, Bayesian Statistics, Correlation And Dependence, Data Analysis Software, Estimation, Basic Descriptive Statistics, Mathematics, Plot (Graphics), Programming Principles

      4.6

      (3k reviews)

      Beginner · Specialization · 1-3 Months

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      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      Skills you'll gain: Mathematics, Algebra, Calculus, Linear Algebra, Mathematical Theory & Analysis, Differential Equations, Theoretical Computer Science, Probability & Statistics, Algorithms, Entrepreneurship, Graph Theory, Leadership and Management, Probability Distribution, Problem Solving, Research and Design, Computer Graphic Techniques, Computer Graphics, General Statistics, Accounting, Big Data, Computer Programming, Corporate Accouting, Data Analysis, Data Management, Data Mining, Data Model, Data Structures, Design and Product, Finance, Investment Management, Product Design, Programming Principles, Software Architecture, Software Engineering

      4.5

      (214 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Probability & Statistics, Bayesian Statistics, Probability Distribution, R Programming, Statistical Programming, Regression, General Statistics, Machine Learning, Estimation, Markov Model, Basic Descriptive Statistics, Correlation And Dependence, Data Visualization, Experiment, Machine Learning Algorithms, Statistical Machine Learning, Statistical Tests, Statistical Visualization, Business Analysis, Data Analysis, Graph Theory, Mathematics, Statistical Analysis

      4.8

      (455 reviews)

      Intermediate · Course · 1-3 Months

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      University of Colorado Boulder

      Algebra and Differential Calculus for Data Science

      Skills you'll gain: Mathematics, Calculus, Algebra, Differential Equations, Theoretical Computer Science, Graph Theory, Mathematical Theory & Analysis, Probability & Statistics, Probability Distribution, Accounting, Algorithms, Big Data, Computer Programming, Corporate Accouting, Data Analysis, Data Management, Data Mining, Data Model, Data Structures, Design and Product, Entrepreneurship, Finance, Investment Management, Leadership and Management, Problem Solving, Product Design, Programming Principles, Research and Design, Software Architecture, Software Engineering

      4.4

      (107 reviews)

      Intermediate · Course · 1-3 Months

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      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Probability & Statistics, Data Analysis, General Statistics, Data Management, Theoretical Computer Science, Business Analysis, Human Resources, Regression, Big Data, Correlation And Dependence, Data Mining, Data Structures, Statistical Analysis, Advertising, Communication, Leadership and Management, Machine Learning, Natural Language Processing, Strategy and Operations

      4.2

      (163 reviews)

      Beginner · Specialization · 3-6 Months

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      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: General Statistics, Probability & Statistics, Regression, Machine Learning, Machine Learning Algorithms, Econometrics, Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Data Analysis Software, Estimation, Experiment, Python Programming, Statistical Analysis

      4.4

      (641 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Mathematics, Probability & Statistics, Regression, General Statistics, Business Analysis, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Calculus, Communication, Linear Algebra, Marketing

      4.1

      (9 reviews)

      Intermediate · Course · 1-4 Weeks

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      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Programming, Statistical Tests, Data Analysis, Basic Descriptive Statistics, Business Analysis, Probability Distribution

      4.2

      (4.4k reviews)

      Mixed · Course · 1-4 Weeks

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      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Probability & Statistics, General Statistics, Experiment, Business Analysis, Data Analysis, Statistical Analysis, Statistical Tests, Econometrics, Regression, Calculus, Linear Algebra

      4.1

      (8 reviews)

      Intermediate · Course · 1-4 Weeks

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      Free

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      Johns Hopkins University

      Gestión del análisis de datos

      Skills you'll gain: Business Analysis, Data Analysis, Probability & Statistics, Exploratory Data Analysis, Accounting, Big Data, Data Management, Financial Analysis, Process Analysis

      4.5

      (31 reviews)

      Mixed · Course · 1-4 Weeks

    Searches related to statistical modeling

    statistical modeling for data science applications
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    In summary, here are 10 of our most popular statistical modeling courses

      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.‎

      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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