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    • R

    R 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 Course Catalog

    • C

      Codio

      Advanced Django: Introduction to Django Rest Framework

      Skills you'll gain: Django (Web Framework), Postman API Platform, Restful API, Data Validation, Authentications, Authorization (Computing), Application Programming Interface (API), API Design, JSON, Object-Relational Mapping, Model View Controller

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U
      S

      Multiple educators

      Sustainable and Circular Product Development

      Skills you'll gain: Packaging and Labeling, Human Centered Design, Environmental Regulations, Design Thinking, Product Development, Product Design, Business Leadership, Reverse Logistics, Waste Minimization, Corporate Sustainability, Environmental Laws, Product Lifecycle Management, Industrial Design, Environmental Engineering, Process Engineering, Design Strategies, Logistics, Sustainability Reporting, Environmental Science, Material Handling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Building HTTP APIs with Spring

      Skills you'll gain: Spring Boot, Spring Framework, Restful API, API Design, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Application Security, Authentications, JSON, Authorization (Computing), Data Access, Dependency Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Análise de Segmentação de Mercado

      Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Statistical Analysis, Marketing, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Business Strategy, Consumer Behaviour

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Clinical Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Clinical Data Management, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      How Google does Machine Learning 日本語版

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Ciência de Dados para Finanças

      Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, Data Visualization, FinTech, Data Visualization Software, Deep Learning, Data Modeling, R Programming, Predictive Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Analytics, Data Manipulation, Machine Learning, Financial Market, Business Intelligence, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Dashboard Development with Shiny: GenAI for Retail Analysis

      Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Presentation, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Web Applications, Data Import/Export

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      Nanjing University

      计算机系统基础(一) :程序的表示、转换与链接

      Skills you'll gain: C (Programming Language), Computer Systems, Data Structures, System Programming, Programming Principles, Computer Architecture, Computer Programming, Operating Systems, Data Storage, Computer Hardware, Application Security, Software Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 3 Months

    • E

      EDUCBA

      ARM Cortex (STM32) Fundamentals: Building Embedded Systems

      Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Programming Principles, Hardware Architecture, Computer Architecture, Debugging, Peripheral Devices

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers: The Capstone Course

      Skills you'll gain: Matlab, Engineering Analysis, Finite Element Methods, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Simulation and Simulation Software, Differential Equations, Calculus, Scientific Visualization, Plot (Graphics)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    R learners also search

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    1…333435…48

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

    • Advanced Django: Introduction to Django Rest Framework: Codio
    • Improving Your Statistical Questions: Eindhoven University of Technology
    • Sustainable and Circular Product Development: University of Colorado Boulder
    • Building HTTP APIs with Spring: Vanderbilt University
    • Análise de Segmentação de Mercado: Fundação Instituto de Administração
    • Clinical Natural Language Processing: University of Colorado System
    • How Google does Machine Learning 日本語版: Google Cloud
    • Ciência de Dados para Finanças: Fundação Instituto de Administração
    • Dashboard Development with Shiny: GenAI for Retail Analysis: Coursera Project Network
    • 计算机系统基础(一) :程序的表示、转换与链接: Nanjing 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

    R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis, statistical computing, and graphical representation, including:

    • Fundamentals of R syntax and programming environment
    • Data manipulation and cleaning techniques using R packages like dplyr and tidyr
    • Statistical analysis and model building to interpret complex data sets
    • Creating compelling visualizations with ggplot2 and other visualization tools
    • Developing reproducible reports and interactive web apps with R Markdown and Shiny
    • Applying R in various domains such as finance, healthcare, and academic research ‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication:

    • Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language.
    • Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R.
    • Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R. ‎

    Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.‎

    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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