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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

    • C

      Coursera Project Network

      Working with Subqueries in SQL

      Skills you'll gain: SQL, PostgreSQL, Query Languages

      4.4
      Rating, 4.4 out of 5 stars
      ·
      58 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Ansible for Network Automation

      Skills you'll gain: Ansible, YAML, Network Architecture, Network Administration, Infrastructure as Code (IaC), Network Infrastructure, General Networking, Automation, System Configuration, Software Documentation, Configuration Management, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Inteligência Artificial Aplicada ao CRM

      Skills you'll gain: Customer Relationship Management, Customer Data Management, Big Data, Data Mining, Data-Driven Decision-Making, Predictive Analytics, Data Visualization, Sales Management, Customer Engagement, Data Visualization Software, Data Modeling, R Programming, Customer Insights, Advanced Analytics, Customer experience strategy (CX), Data Science, Data Analysis, Data Manipulation, Artificial Intelligence, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      94 reviews

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Data Visualization:Matplotlib & Seaborn(Enhanced)

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      25 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      مجموعة أدوات عالم البيانات

      Skills you'll gain: Data Transformation, Data Science, Data Analysis, R Programming, Exploratory Data Analysis, Software Installation, Package and Software Management, Version Control, Command-Line Interface

      4.7
      Rating, 4.7 out of 5 stars
      ·
      107 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Clean and analyze social media usage data with Python

      Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Cleansing, Jupyter

      4.1
      Rating, 4.1 out of 5 stars
      ·
      32 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California, Davis

      SQL für Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Data Manipulation, Database Design, Data Transformation, Query Languages, Data Modeling, Databases, Relational Databases, Data Analysis, Descriptive Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Advanced Clinical Data Science

      Skills you'll gain: Clinical Data Management, Clinical Research, Data Quality, Health Informatics, Biostatistics, Time Series Analysis and Forecasting, Data Analysis, Data Modeling, Data Science, Analytics, Statistical Reporting, R Programming, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Exception Handling in Python

      Skills you'll gain: Code Review, Debugging, Scripting, Python Programming, Programming Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      How Google does Machine Learning 日本語版

      Skills you'll gain: Google Cloud Platform, Tensorflow, Machine Learning, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Deep Learning, Data Ethics, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…157158159…296

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

    • Working with Subqueries in SQL: Coursera Project Network
    • Ansible for Network Automation: Cisco Learning and Certifications
    • Inteligência Artificial Aplicada ao CRM: Fundação Instituto de Administração
    • Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera Project Network
    • مجموعة أدوات عالم البيانات: Johns Hopkins University
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Clean and analyze social media usage data with Python: Coursera Project Network
    • SQL für Data Science: University of California, Davis
    • Advanced Clinical Data Science: University of Colorado System

    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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