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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

    • A

      Amazon Web Services

      Providing Technical Support for AWS Workloads

      Skills you'll gain: Amazon Web Services, Cloud Infrastructure, Network Troubleshooting, Technical Consulting, Amazon S3, Cloud Solutions, Cloud Computing, Technical Support, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Scenario Testing, Cloud Storage, Serverless Computing, Database Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Visualization using Plotnine and ggplot

      Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California, Davis

      Identifying Security Vulnerabilities in C/C++Programming

      Skills you'll gain: Secure Coding, Application Security, C and C++, Linux, Vulnerability Assessments, Security Engineering, User Accounts, Data Validation, Debugging, Cryptography, C (Programming Language), Identity and Access Management, Encryption, File Management, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Financial Management for Product Leaders

      Skills you'll gain: Financial Statements, Financial Modeling, Proposal Writing, Corporate Finance, Business Metrics, Balance Sheet, Business Valuation, Entrepreneurial Finance, Internal Communications, Financial Management, Cost Benefit Analysis, Project Finance, Return On Investment, Financial Forecasting, Product Management, Presentations, Cash Flows, Innovation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      Digital Technology in Manufacturing

      Skills you'll gain: Product Lifecycle Management, Embedded Systems, Embedded Software, Manufacturing and Production, Robotic Process Automation, Manufacturing Processes, Control Systems, Computer-Aided Design, Manufacturing Operations, Programmable Logic Controllers, Automation, Internet Of Things, Production Process, Mechanical Design, Cyber Engineering, Lean Manufacturing, Digital Transformation, Business Technologies, Engineering Analysis, C (Programming Language)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      Dartmouth College

      C Programming: Language Foundations - 2

      Skills you'll gain: Computer Programming Tools, C (Programming Language), Programming Principles, Embedded Systems, Program Development, Computer Engineering, Development Environment, Algorithms, Data Structures, Computer Programming, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Building Cloud Services with the Java Spring Framework

      Skills you'll gain: Spring Framework, Object-Relational Mapping, Cloud Security, Java, Scalability, Cloud Services, Web Services, Cloud Computing, JSON, Security Controls, Restful API, Web Applications, Object Oriented Design, Database Design, Software Design, Dependency Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      251 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Houston

      Powerful Tools for Teaching and Learning: Web 2.0 Tools

      Skills you'll gain: Collaborative Software, Education Software and Technology, Learning Management Systems, Creative Design, Technology Strategies, Web Applications, Content Management, Digital Communications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      185 reviews

      Beginner · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Serverless Architectures on AWS

      Skills you'll gain: AWS CloudFormation, Serverless Computing, Infrastructure as Code (IaC), Cloud API, Application Programming Interface (API), Cloud Infrastructure, Event-Driven Programming, Authentications, Amazon S3, Amazon DynamoDB, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • C

      Codio

      Intro to Operating Systems 4: Persistence

      Skills you'll gain: File Systems, Operating Systems, Data Integrity, Debugging, Systems Design, Distributed Computing, Data Storage, C (Programming Language), System Programming, Computer Systems, Command-Line Interface, Computer Hardware, Scalability, Version Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Ball State University

      Data Visualization

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Statistical Visualization, Visualization (Computer Graphics), R Programming, Data Storytelling, Data Presentation, Histogram, Scatter Plots, Data Analysis, Data Manipulation

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

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

    • Providing Technical Support for AWS Workloads: Amazon Web Services
    • Data Visualization using Plotnine and ggplot: Coursera Project Network
    • Identifying Security Vulnerabilities in C/C++Programming: University of California, Davis
    • Financial Management for Product Leaders: University of Maryland, College Park
    • Digital Technology in Manufacturing: L&T EduTech
    • C Programming: Language Foundations - 2: Dartmouth College
    • Building Cloud Services with the Java Spring Framework: Vanderbilt University
    • Powerful Tools for Teaching and Learning: Web 2.0 Tools: University of Houston
    • Serverless Architectures on AWS: Amazon Web Services
    • Exploratory Data Analysis: University of Leeds

    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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