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R For Data Science

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304 Ergebnisse für „r for data science“

Kostenlos
Stanford University
Introduction to Statistics
Kompetenzen, die Sie erwerben: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization
4.6
(2.1k Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
Eindhoven University of Technology
Improving your statistical inferences
Kompetenzen, die Sie erwerben: Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Bayesian Network, Business Analysis, Experiment, Machine Learning
4.9
(751 Bewertungen)
Intermediate · Course · 1-3 Months
IBM Skills Network
Tools for Data Science
Kompetenzen, die Sie erwerben: Computer Programming Tools, Data Analysis Software, Data Structures, Machine Learning Software, Software Visualization, Python Programming, Statistical Programming, Data Visualization Software, R Programming, Data Science, Devops Tools, Machine Learning Algorithms, SPSS, Computer Programming, Machine Learning
4.5
(26k Bewertungen)
Beginner · Course · 1-4 Weeks
Kostenlos
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Kompetenzen, die Sie erwerben: 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
4.4
(3.7k Bewertungen)
Intermediate · Course · 1-4 Weeks
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Regression, Experiment, Business Analysis, Data Analysis, Statistical Analysis, Mathematics, Statistical Tests, Econometrics, Machine Learning, Machine Learning Algorithms, Calculus, Communication, Linear Algebra, Marketing, R Programming, SQL
4.1
(31 Bewertungen)
Intermediate · Specialization · 3-6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Experiment, Bayesian Statistics, Statistical Tests, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis
4.4
(695 Bewertungen)
Advanced · Specialization · 3-6 Months
University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Kompetenzen, die Sie erwerben: Data Analysis, Probability & Statistics, Business Analysis, Statistical Analysis, General Statistics, Computer Programming, Correlation And Dependence, Data Visualization, Plot (Graphics), Python Programming, Regression, Statistical Programming, Econometrics
4.4
(129 Bewertungen)
Mixed · Course · 1-3 Months

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introduction to r programming for data science

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Zusammenfassend sind hier 10 unserer beliebtesten r for data science Kurse

Deep Learning for Healthcare: University of Illinois at Urbana-Champaign
The R Programming Environment: Johns Hopkins University
Introduction to Statistics: Stanford University
Improving your statistical inferences: Eindhoven University of Technology
Tools for Data Science: IBM Skills Network
Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
Statistical Modeling for Data Science Applications: University of Colorado Boulder
Advanced Statistics for Data Science: Johns Hopkins University
Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
Modern Regression Analysis in R: University of Colorado Boulder

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