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  • R Programming

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.


Popular R Courses and Certifications


  • 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
    K

    Kennesaw State University

    Six Sigma Advanced Define and Measure Phases

    Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Algorithms, Data Collection, and Starting to Code

    Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    377 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Getting Started - 1

    Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Debugging, Development Environment, Engineering Calculations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    262 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    584 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Android App Components - Services, Local IPC, and Content Providers

    Skills you'll gain: Android Development, Android Studio, Mobile Development, Software Design, User Interface (UI) Design, Java Programming, Data Access, Software Architecture, Databases, OS Process Management, Content Management, Service Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    411 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    932 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

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

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Statistical Modeling, Model Evaluation, Variance Analysis, Predictive Modeling, Machine Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    577 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Product Ideation, Design, and Management

    Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, User Experience Design, Team Leadership, Prototyping, Competitive Analysis, Commercialization, Product Lifecycle Management, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Target Market, Market Opportunities, Ideation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    717 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Relational database systems

    Skills you'll gain: Relational Databases, Database Management, SQL, Databases, Database Design, Database Management Systems, Database Architecture and Administration, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, Information Systems Security, Performance Tuning, Conceptual Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    455 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
  • Algorithms, Data Collection, and Starting to Code: University of Colorado System
  • C Programming: Getting Started - 1: Dartmouth College
  • The Nuts and Bolts of Machine Learning: Google
  • Android App Components - Services, Local IPC, and Content Providers: Vanderbilt University
  • Inferential Statistical Analysis with Python: University of Michigan
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Regression Analysis: Simplify Complex Data Relationships: Google

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Python Programming (47)
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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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