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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

    • Status: New
      New
      P

      Packt

      Master Java Web Services and REST API with Spring Boot

      Skills you'll gain: Web Services, Spring Framework, Simple Object Access Protocol (SOAP), Spring Boot, Restful API, Hibernate (Java), Java, API Design, JSON, JUnit, Software Documentation, Object-Relational Mapping, Extensible Markup Language (XML)

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Hands-on with AWS: Software Development Practices

      Skills you'll gain: CI/CD, Continuous Integration, Application Deployment, Continuous Delivery, Software Development, Version Control, Git (Version Control System), DevOps, Test Automation, Unit Testing, Amazon Web Services, Software Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R Programming, Statistical Analysis, Regression Analysis, Probability & Statistics, Data Literacy, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      REST APIs with Flask and Python in 2024

      Skills you'll gain: Git (Version Control System), Application Deployment, Restful API, Docker (Software), Database Management, Flask (Web Framework), Software Versioning, Object-Relational Mapping, Application Programming Interface (API), JSON, Authentications, Web Development, Programming Principles, Python Programming, Back-End Web Development, Object Oriented Programming (OOP), Secure Coding, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      I

      Indian Institute of Science

      Fundamentals of Sensors

      Skills you'll gain: Chemical and Biomedical Engineering, Electronics, Semiconductors, Medical Equipment and Technology, Electronic Systems, Internet Of Things, Laboratory Equipment, Manufacturing Processes

      Beginner · Course · 1 - 3 Months

    • L

      L&T EduTech

      VLSI chip design with CPS for Industrial Applications

      Skills you'll gain: Embedded Systems, Embedded Software, Electronic Systems, PIC Microcontrollers, Computer Systems, Internet Of Things, Automation, Vibrations, System Programming, Control Systems, C (Programming Language), Programmable Logic Controllers, Hardware Architecture, Peripheral Devices, Electronics, Wireless Networks, Medical Equipment and Technology, Electric Power Systems, Civil Engineering, Structural Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Jakarta Persistence (JPA)

      Skills you'll gain: Hibernate (Java), Object-Relational Mapping, Java Platform Enterprise Edition (J2EE), Data Access, Java, Relational Databases, Data Mapping, SQL, Databases, Query Languages, Transaction Processing

      5
      Rating, 5 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Minnesota

      Introduction to Social Determinants of Health

      Skills you'll gain: Health Disparities, Health Equity, Health Policy, Systems Thinking, Public Health, Community Health, Data Analysis, Socioeconomics, Social Sciences, R Programming, Data Visualization, Data-Driven Decision-Making, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 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

    • G

      Google Cloud

      How Google does Machine Learning en Français

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

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

    • Master Java Web Services and REST API with Spring Boot: Packt
    • Hands-on with AWS: Software Development Practices: Amazon Web Services
    • RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
    • Exploratory Data Analysis: University of Leeds
    • REST APIs with Flask and Python in 2024: Packt
    • Fundamentals of Sensors: Indian Institute of Science
    • VLSI chip design with CPS for Industrial Applications: L&T EduTech
    • Jakarta Persistence (JPA): LearnQuest
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Introduction to Social Determinants of Health: University of Minnesota

    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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