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    10041 Ergebnisse für „r“

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      Johns Hopkins University

      Data Science: Foundations using R

      Kompetenzen, die Sie erwerben: R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)

      4.6

      (47.2k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Data Science, Probability Distribution, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      Kompetenzen, die Sie erwerben: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (101.2k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Data Analysis with R Programming

      Kompetenzen, die Sie erwerben: Data Science, R Programming, Statistical Programming, Data Visualization, Statistical Visualization, Data Analysis, Data Analysis Software, Business Analysis, Computer Programming, Computer Programming Tools, Plot (Graphics), Statistical Analysis, Visualization (Computer Graphics)

      4.8

      (6.4k Bewertungen)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      R Programming

      Kompetenzen, die Sie erwerben: R Programming, Data Analysis, General Statistics, Computer Programming, Data Structures, Exploratory Data Analysis, Linear Algebra, Probability & Statistics, Probability Distribution, Statistical Programming, Statistical Tests

      4.5

      (21.9k Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Getting Started with R

      Kompetenzen, die Sie erwerben: R Programming, Statistical Programming, Data Analysis, Data Science

      4.4

      (303 Bewertungen)

      Beginner · Guided Project · Less Than 2 Hours

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      Kostenlos

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      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Kompetenzen, die Sie erwerben: R Programming, Statistical Programming, Computer Programming, Mathematics, Data Analysis, Data Visualization, Linear Algebra, ArcGIS, Mathematical Theory & Analysis, Other Programming Languages, Plot (Graphics)

      4.7

      (7.8k Bewertungen)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Data Analytics in the Public Sector with R

      Kompetenzen, die Sie erwerben: Data Analysis, Business Analysis, Exploratory Data Analysis, Probability & Statistics, R Programming, Statistical Programming, Data Visualization

      4.8

      (12 Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science with R

      Kompetenzen, die Sie erwerben: R Programming, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Data Mining, Data Visualization, SQL, Basic Descriptive Statistics, General Statistics, Data Management, Data Visualization Software, Databases, Interactive Data Visualization, Statistical Analysis, Statistical Programming, Statistical Visualization, Probability & Statistics, Data Analysis Software, Database Theory, Regression, Statistical Tests, Big Data, Software Visualization, Data Structures, User Experience, Machine Learning, Probability Distribution, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Data Architecture, Data Model, Database Administration, Database Application, Database Design, Visualization (Computer Graphics), Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Science, Extract, Transform, Load, Marketing, Programming Principles, Theoretical Computer Science

      4.5

      (550 Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Kompetenzen, die Sie erwerben: R Programming, Statistical Programming, Computer Programming Tools, Data Management, Data Visualization, Plot (Graphics), Communication, Computer Graphics, Computer Programming, Data Analysis, Geovisualization, Human Computer Interaction, Interactive Data Visualization, Interactive Design, Programming Principles, Project Management, Spatial Analysis, Statistical Visualization, Strategy and Operations

      4.8

      (292 Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Imperial College London

      Statistical Analysis with R for Public Health

      Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Regression, Business Analysis, Statistical Analysis, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Programming, Mathematics, Statistical Tests, R Programming, Probability Distribution, Basic Descriptive Statistics, Correlation And Dependence, Econometrics, Estimation, Bayesian Statistics, Exploratory Data Analysis, Critical Thinking, Data Analysis Software, Forecasting

      4.7

      (1.7k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Kompetenzen, die Sie erwerben: Statistical Programming, R Programming, Data Management, Data Visualization, Theoretical Computer Science, Extract, Transform, Load, Plot (Graphics), General Statistics, Machine Learning, Probability & Statistics, Data Analysis, Databases, Business Analysis, Computer Programming, Econometrics, Programming Principles, Regression, Software Architecture, Software Engineering, Spreadsheet Software, Advertising, Communication, Computational Logic, Data Mining, Data Structures, Entrepreneurship, Experiment, Exploratory Data Analysis, Leadership and Management, Marketing, Mathematics, Natural Language Processing, Problem Solving, Research and Design, Statistical Tests

      4.4

      (76 Bewertungen)

      Beginner · Specialization · 3-6 Months

    Suchanfragen mit Bezug zu r

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    Zusammenfassend sind hier 10 unserer beliebtesten r Kurse

    • Data Science: Foundations using R: Johns Hopkins University
    • Data Analysis with R: Duke University
    • Google Data Analytics: Google
    • Data Analysis with R Programming: Google
    • R Programming: Johns Hopkins University
    • Getting Started with R: Coursera Project Network
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Data Analytics in the Public Sector with R: University of Michigan
    • Applied Data Science with R: IBM Skills Network
    • Data Visualization & Dashboarding with R: Johns Hopkins University

    Fähigkeiten, die Sie bei Data Analysis erlernen können

    Analytik (85)
    Big Data (64)
    Python-Programmierung (47)
    Unternehmensanalytik (40)
    R-Programmierung (37)
    Statistische Analyse (36)
    SQL (33)
    Datenmodell (29)
    Data-Mining (27)
    Explorative Datenanalyse (26)
    Datenmodellierung (21)
    Datenmanipulation (20)

    Häufig gestellte Fragen zum Thema R

    • R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. While R is widely used among statisticians and data miners for statistical software and data analysis, it is becoming popular among data scientists as well. Proficiency in R has become a standard requirement for many data science and statistician-related jobs.‎

    • We recommend these courses for those with some basic knowledge of R that want to use it in a Data Science and Software Development context. You may wish to use it for exploratory data analysis, data visualization, probability, inference, linear regression, and more. You may desire to expand your data science skills and use R in your everyday role to interact more with the data you work with.‎

    • According to Burning Glass, there were ~50K job postings in the last 12 months requiring R as a skill. Some of the functional job titles requiring this skill are Business Intelligence Analyst, Operations Research Analyst, Management Analyst, and Market Research Analyst. If your work involves data analysis, modeling, or visualization, R is a powerful skill to add to your portfolio.‎

    • While there are generally no specific prerequisites for beginner-level R courses, programming language basics is one of the key topics you typically need to know before you start to learn R programming language. It can also help if you have a solid understanding of math and statistics before beginning R courses. Introductory-level data visualization skills, such as understanding how plots and graphs work, can also be helpful when learning the R programming language. Additionally, analytical and critical thinking skills can be helpful when you’re starting to study R.‎

    • People who are highly analytical and curious are typically best suited for roles in R. People who enjoy statistics and using statistical models to solve problems can also be well suited to roles in R. Those who have an affinity for using computer technology and machine learning can potentially be well suited to learning this programming language. People who enjoy highly detailed tasks and who have strong problem-solving skills are typically well suited for R roles. Additionally, people who work in fields like lean manufacturing, public health, and finance can be well suited for roles in R.‎

    • Some common career paths for people in R include machine learning engineers, data scientists, data miners, data engineers, and statisticians. These fall under the category of computer programming jobs, which according to the Bureau of Labor Statistics pay a higher than average wage. These types of computer programming jobs typically require a bachelor’s degree. Competition can be stiff for these jobs, though, due to the influx of workers in the field as a result of global trade.‎

    • Mathematics, statistics, and AI are topics you could study that are related to R. Data visualization is another related topic, along with probability and the broader field of data science. You could study the related topics of data structure, data analysis, and data type as part of your R studies. Data manipulation and data cleansing are related topics that you could study, and you could also study GitHub and regular expression (REGEX).‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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