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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.


More to explore:

Popular R Courses and Certifications


  • A

    Amazon Web Services

    Integrating AWS with the SDK

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon DynamoDB, Amazon S3, Amazon Elastic Compute Cloud, API Gateway, Serverless Computing, Cloud API, Amazon Web Services, Authentications, Authorization (Computing), NoSQL, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Saïd Business School, University of Oxford

    AI in Financial Services: Foundations through future trends

    Skills you'll gain: FinTech, Financial Inclusion, Financial Services, Responsible AI, Data Ethics, Artificial Intelligence, Mobile Banking, Banking Services, Data Sharing, Financial Regulation, Data Governance, Application Programming Interface (API), Financial Data, Banking, Finance, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Innovation, General Data Protection Regulation (GDPR), Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    85 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Large Language Modeling, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, AI Product Strategy, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Intermediate · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    PyTorch Ultimate 2024 - From Basics to Cutting-Edge

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    80 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    The Nature of Data and Relational Database Design

    Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Statistical Analysis, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Python: de cero a usuario

    Skills you'll gain: Package and Software Management, Jupyter, Ubuntu, Python Programming, Computational Thinking, Mac OS, Programming Principles, Cross Platform Development, Software Documentation, Development Environment, Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 3 Months

  • L

    LearnQuest

    Spring Data Repositories

    Skills you'll gain: Spring Framework, Object-Relational Mapping, Transaction Processing, Data Persistence, Database Systems, Java, Restful API, Web Services, Web Applications

    3.9
    Rating, 3.9 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Cape Town

    Doing Clinical Research: Biostatistics with the Wolfram Language

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Integrating AWS with the SDK: Amazon Web Services
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • AI in Financial Services: Foundations through future trends: Saïd Business School, University of Oxford
  • Explainable AI (XAI): Duke University
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
  • The Nature of Data and Relational Database Design: University of California, Irvine
  • Python: de cero a usuario: Universidad Nacional Autónoma de México
  • Spring Data Repositories: LearnQuest

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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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