R Programming

R Programming is a widely-used language for statistical computing and graphics, providing a wide variety of statistical techniques such as linear and nonlinear modeling, classical statistical tests, time-series analysis, and more. Coursera's R Programming catalogue teaches you how to manipulate, analyze, and visualize data using R. You'll learn how to prepare, explore, and model data, make predictions using machine learning algorithms, and create high quality graphics for data visualization. This knowledge will serve you in fields like data science, statistics, machine learning, and other data-driven professions. You'll also master the use of key R packages, making your data analysis more efficient and effective.
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Results for "r programming"

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Technical Documentation, Datamaps, Data Cleansing, Interactive Data Visualization, Data Transformation, Scatter Plots, Object Oriented Programming (OOP), GitHub, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    779 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Amsterdam

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Ggplot2, Quantitative Research, Data Manipulation, Statistical Software, Visualization (Computer Graphics), Exploratory Data Analysis, Graphical Tools, Simulations, Data Structures, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    298 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: R (Software), R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Duke University

    Skills you'll gain: Risk Modeling, Financial Market, Risk Management, Market Data, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Securities Trading, Estimation, Statistical Modeling

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    252 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Packt

    Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics

    4.3
    Rating, 4.3 out of 5 stars
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)

    4.9
    Rating, 4.9 out of 5 stars
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics, Statistical Analysis, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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