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    • R Programming

    R Programming Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

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    Explore the R Programming Course Catalog

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      339 reviews

      Intermediate · 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, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Deploy and Maintain Power BI Assets and Capstone project

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      277 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      714 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Finding Mutations in DNA and Proteins (Bioinformatics VI)

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Data Mapping, Machine Learning Methods, Computational Thinking, Algorithms, Theoretical Computer Science, Data Structures, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      56 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Use C++ to build a Crypto Trading Platform: Final System

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Program Development, Computer Programming, Data Structures, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Engineering Practices for Building Quality Software

      Skills you'll gain: Software Design Patterns, Software Design, Engineering Software, Software Quality Assurance, Software Engineering, Program Development, Application Security, Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Development Testing, Threat Modeling, Maintainability, Development Environment, Code Review, Application Deployment, Test Tools, Continuous Deployment, Quality Assurance, Software Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      449 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Mobile App Development

      Skills you'll gain: Mobile Development, Mobile Development Tools, iOS Development, Flutter (Software), Integrated Development Environments, Apple iOS, Android Studio, Application Development, Swift Programming, React Native, Apple Xcode, Application Frameworks, Web Applications, Cross Platform Development, Software Testing, Cloud Hosting, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      153 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      Inferenzstatistik

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

      Beginner · Course · 1 - 3 Months

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

    • Explainable AI (XAI): Duke University
    • Fundamentals of Machine Learning in Finance: New York University
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Deploy and Maintain Power BI Assets and Capstone project: Microsoft
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • Use C++ to build a Crypto Trading Platform: Final System: University of London
    • Engineering Practices for Building Quality Software: University of Minnesota

    Skills you can learn in Data Analysis

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    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

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