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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.


Popular R Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    Meta

    WhatsApp Business Platform for Developers

    Skills you'll gain: Quality Monitoring, Cloud API, Application Programming Interface (API), Web Services, Customer Relationship Management (CRM) Software, Customer Communications Management, Account Management, Business Communication, Data Migration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    105 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Python Object Basics: Functions, Recursion, and Objects

    Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Python Programming, Scripting, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Creating Advanced Reports with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Dashboard, Business Analytics, Business Reporting, Interactive Data Visualization, Data Visualization Software, Data Analysis, Advanced Analytics, Key Performance Indicators (KPIs), Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    215 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Model Evaluation, User Feedback, Machine Learning, Performance Analysis, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    61 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Custom Reports in Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Management Reporting, Performance Reporting, Web Analytics, Marketing, Web Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    170 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Machine Learning Using SAS Viya: SAS
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • WhatsApp Business Platform for Developers: Meta
  • Python Object Basics: Functions, Recursion, and Objects: Codio
  • Data Analysis and Visualization with Python: Microsoft
  • Creating Advanced Reports with SAS Visual Analytics: SAS
  • AI Workflow: AI in Production: IBM
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • MLOps Tools: MLflow and Hugging Face: Duke University

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
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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