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R Courses

R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.


More to explore:

Popular R Courses and Certifications


  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    935 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    563 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    932 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    538 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM z/OS Mainframe Practitioner

    Skills you'll gain: Job Control Language (JCL), Mainframe Computing, z/OS, Virtualization, Unix, IBM DB2, IBM Cloud, Data Management, Virtual Machines, Data Storage, Operating System Administration, Infrastructure Architecture, System Programming, Operating Systems, Unix Commands, File Systems, Linux, Computer Architecture, Control Panels, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Preview
    Preview
    H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

    Skills you'll gain: Computer Science, Computer Architecture, Computer Programming, System Programming, Virtual Machines, Operating Systems, Hardware Architecture, Software Architecture, Algorithms, Object Oriented Programming (OOP), Data Structures, Computer Graphic Techniques

    4.9
    Rating, 4.9 out of 5 stars
    ·
    532 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    607 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    489 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Analyze Phase

    Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Quality Improvement, Process Optimization, Statistical Analysis, Statistics, Data Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    987 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular r programming courses

  • Foundations of marketing analytics: ESSEC Business School
  • Inferential Statistical Analysis with Python: University of Michigan
  • The Finite Element Method for Problems in Physics: University of Michigan
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • IBM z/OS Mainframe Practitioner: IBM
  • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem
  • The Nuts and Bolts of Machine Learning: Google
  • Sample-based Learning Methods: University of Alberta

Skills you can learn in Data Analysis

Analytics (85)
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Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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