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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Explore the R Programming Course Catalog

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

  • Status: Preview

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data

  • Status: Free Trial

    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

  • Status: Free Trial

    Duke University

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

  • Status: Free Trial

    Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, People Analytics, Data Storytelling, Business Strategy, Data Analysis, Data Visualization, Regression Analysis

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

  • Status: Free Trial

    Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

  • Status: Preview

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Process Optimization, Statistical Methods, Performance Tuning, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

  • Status: Preview

    Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Statistical Programming, Equities, Regression Analysis, Data Manipulation, Data Visualization

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Regression Analysis, Random Forest Algorithm, Data Processing, Data Collection

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Tidyverse (R Package), Data Import/Export, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Data Structures, Programming Principles

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