R (Software)

R (Software) is a powerful programming language designed for statistical computing and data visualization, widely adopted in fields such as data science, bioinformatics, and data analysis. Coursera's R (Software) catalogue teaches you the fundamentals of this open-source language, including its syntax, data structures, and core functions for statistical analysis and graphical representation. You'll learn to manipulate and analyze data, create compelling visualizations, implement statistical models, use popular packages like tidyverse, and integrate R with other tools and languages. Mastering R (Software) will empower you to extract meaningful insights from complex datasets, enhancing your capabilities in data-driven decision-making and opening up career opportunities in various analytical and research-oriented fields.
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Results for "r (software)"

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Codio

    Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Analytical Skills, Statistical Analysis, R Programming, Data Wrangling

    4.3
    Rating, 4.3 out of 5 stars
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Case Western Reserve University

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Presentation, Data Science, R (Software), Data Analysis Software

    4.5
    Rating, 4.5 out of 5 stars
    108 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Coursera Project Network

    Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    383 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Packt

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Collection, Statistical Analysis, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Sampling (Statistics), Engineering Management, Statistical Hypothesis Testing, Correlation Analysis, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Estimation, Data Analysis, Sample Size Determination, Statistical Analysis, Data Visualization, Statistical Software, Leadership and Management, Technical Management, Leadership, R (Software), Box Plots, Probability & Statistics, Problem Solving

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    40 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Descriptive Statistics, Quality Improvement, Process Engineering

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    53 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview

    SAS

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months