「regression models」の359件の結果

Johns Hopkins University

Regression Models

習得できるスキル： Basic Descriptive Statistics, Correlation And Dependence, Data Analysis, Econometrics, Estimation, General Statistics, Linear Algebra, Probability & Statistics, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Data Science, Probability Distribution, Business Analysis

Queen Mary University of London

The Classical Linear Regression Model

習得できるスキル： Econometrics, Probability & Statistics, Regression

Johns Hopkins University

Quantifying Relationships with Regression Models

習得できるスキル： General Statistics, Probability & Statistics, Regression, Research and Design, Correlation And Dependence, Statistical Analysis

Coursera Project Network

Building and analyzing linear regression model in R

習得できるスキル： Data Management, Econometrics, Extract, Transform, Load, General Statistics, Probability & Statistics, Regression, Statistical Programming, Machine Learning, Marketing, R Programming

Macquarie University

Excel Regression Models for Business Forecasting

習得できるスキル： Data Analysis, Data Management, Forecasting, Microsoft Excel, Probability & Statistics, Regression, Business Analysis, Statistical Analysis, Statistical Tests, Data Analysis Software, Spreadsheet Software, Econometrics, General Statistics, Project Management, Strategy and Operations, Accounting

Howard University

Building Regression Models with Linear Algebra

Coursera Project Network

Build a Regression Model using PyCaret

習得できるスキル： Machine Learning, Python Programming, Regression

Rice University

Business Statistics and Analysis

習得できるスキル： Business Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Spreadsheet Software, Microsoft Excel, Statistical Tests, Basic Descriptive Statistics, Regression, Business Intelligence, Data Visualization, Probability Distribution, Statistical Visualization, Experiment, Plot (Graphics), Data Mining, Exploratory Data Analysis, Computer Programming, Correlation And Dependence, Data Analysis Software, Econometrics, Mathematics

Johns Hopkins University

Data Science: Statistics and Machine Learning

習得できるスキル： R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis

IBM Skills Network

Data Analysis with Python

習得できるスキル： Basic Descriptive Statistics, Data Analysis, Data Science, Python Programming, Applied Machine Learning, Data Mining, Data Structures, General Statistics, Machine Learning, Regression, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algebra, Business Analysis, Computer Programming, Computer Programming Tools, Correlation And Dependence, Econometrics, Mathematical Theory & Analysis, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Statistical Programming

The Hong Kong University of Science and Technology

Python and Statistics for Financial Analysis

習得できるスキル： Business Analysis, Computer Programming, Data Analysis, Financial Analysis, Python Programming, Statistical Programming, Finance, Investment Management, Probability & Statistics, Probability Distribution, Statistical Analysis, Basic Descriptive Statistics, Correlation And Dependence, General Statistics, Regression, Risk Management, Securities Trading, Statistical Tests, Accounting, Estimation

Johns Hopkins University

Advanced Statistics for Data Science

習得できるスキル： Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Bayesian Statistics, Experiment, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Statistical Tests, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis