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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

    • I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Support Vector Machines in Python, From Start to Finish

      Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Pandas (Python Package), Data Visualization, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      155 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • L

      LearnQuest

      Swift 5 iOS Application Developer

      Skills you'll gain: Model View Controller, Apple iOS, JSON, Swift Programming, Apple Xcode, iOS Development, Responsive Web Design, Mobile Development, Data Structures, Object Oriented Programming (OOP), Unit Testing, Programming Principles, Transaction Processing, User Interface (UI), UI Components, Application Programming Interface (API), Software As A Service, Data Storage, Data Modeling, Data Storage Technologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      910 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Mastering Data Analysis with Pandas

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      163 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Introduction to SQL for BigQuery and Cloud SQL

      Skills you'll gain: SQL, Google Cloud Platform, Database Development, Database Management, Data Import/Export, Query Languages, Data Warehousing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      96 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      Universidad de los Andes

      Analítica financiera​

      Skills you'll gain: Financial Forecasting, Financial Analysis, Financial Modeling, Analytics, Time Series Analysis and Forecasting, Statistical Analysis, Risk Analysis, Predictive Modeling, Risk Management, R Programming, Data Transformation, Machine Learning Methods, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Working with Data in Android

      Skills you'll gain: Restful API, Android Development, Kotlin, Android Studio, Application Programming Interface (API), Mobile Development, Database Management, Databases, JSON, Web Applications, SQL, Data Access

      4.7
      Rating, 4.7 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Deep Learning with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Modeling and Debugging Embedded Systems

      Skills you'll gain: Embedded Systems, Debugging, Model Based Systems Engineering, Electronic Systems, Failure Analysis, Simulation and Simulation Software, Technical Communication, Control Systems, Automation Engineering, Computer Programming Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Columbia University

      Advanced Topics in Derivative Pricing

      Skills you'll gain: Derivatives, Credit Risk, Financial Market, Capital Markets, Futures Exchange, Equities, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Desarrollo y Diseño de Videojuegos

      Skills you'll gain: Animation and Game Design, Game Design, Video Game Development, Scrum (Software Development), Unity Engine, Value Propositions, Functional Specification, Sprint Retrospectives, Business Modeling, Agile Methodology, Agile Software Development, Software Design Documents, Software Development Methodologies, Interaction Design, Software Documentation, Interactive Design, User Interface (UI), Virtual Environment, Augmented and Virtual Reality (AR/VR), Virtual Reality

      4.5
      Rating, 4.5 out of 5 stars
      ·
      390 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Retrieve Data using Single-Table SQL Queries

      Skills you'll gain: SQL, Query Languages, Data Access, Database Software, Relational Databases, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      332 reviews

      Beginner · Guided Project · Less Than 2 Hours

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…899091…288

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

    • TensorFlow 2 for Deep Learning: Imperial College London
    • Support Vector Machines in Python, From Start to Finish: Coursera Project Network
    • Swift 5 iOS Application Developer: LearnQuest
    • Mastering Data Analysis with Pandas: Coursera Project Network
    • Introduction to SQL for BigQuery and Cloud SQL: Google Cloud
    • Analítica financiera​: Universidad de los Andes
    • Working with Data in Android: Meta
    • Deep Learning with PyTorch: IBM
    • Modeling and Debugging Embedded Systems: University of Colorado Boulder
    • Advanced Topics in Derivative Pricing: Columbia 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)

    Frequently Asked Questions about R Programming

    R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.‎

    It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.‎

    Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.‎

    Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.‎

    Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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