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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

    • U

      University of Colorado Boulder

      Real-Time Embedded Systems Theory and Analysis

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Software Design, Linux, System Design and Implementation, Performance Tuning, C (Programming Language), Verification And Validation, Algorithms, Debugging

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Advanced · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      Researcher's Guide to Omic Data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Research Design, Exploratory Data Analysis, Metadata Management, Experimentation, Science and Research, R Programming, Scientific Methods, Spatial Analysis, Data Collection, Data Quality, Data Validation, Quantitative Research, Biology, Qualitative Research, Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Advanced Retrieval for AI with Chroma

      Skills you'll gain: Large Language Modeling, Feature Engineering, Information Management, Text Mining

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      Duke University

      人体生理学导论(中文版)

      Skills you'll gain: Respiration, Cardiology, Anatomy, Pulmonology, Nephrology, Neurology, Urology, Obstetrics And Gynecology, Gynecology, Vital Signs, Biology, Nutrition and Diet, Control Systems, Biochemistry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      102 reviews

      Mixed · Course · 1 - 3 Months

    • I

      INSEAD

      Web3 and Blockchain Leadership for Transformation

      Skills you'll gain: Blockchain, Governance, Business Transformation, Interoperability, Business Leadership, Strategic Partnership, Leadership, Stakeholder Management, Digital Transformation, Business Strategy, Emerging Technologies, Innovation, Technical Standard

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Text Mining, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

      Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Data Visualization, Statistical Programming, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Automation, Python Programming, Programming Principles, Scripting, Debugging

      Intermediate · Specialization · 3 - 6 Months

    • S

      SkillUp EdTech

      ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

      Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Dartmouth College

      C Programming: Modular Programming and Memory Management - 3

      Skills you'll gain: C (Programming Language), Computer Architecture, Embedded Software, Computer Engineering, Computer Programming, Program Development, Data Structures, Linux, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      60 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Social Media Analytics

      Skills you'll gain: Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Data Literacy, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytical Skills, Data Manipulation, Facebook, Sociology, Natural Language Processing, Text Mining, Analytics, Trend Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Microsoft

      Coding and Automation for Data Analysis with Generative AI

      Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Teradata SQL, Debugging, Microsoft Excel, Automation, Artificial Intelligence, Data Analysis, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills, Data-Driven Decision-Making, Engineering Management, R Programming, Probability & Statistics, Variance Analysis, Regression Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    R learners also search

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

    • Real-Time Embedded Systems Theory and Analysis: University of Colorado Boulder
    • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
    • Advanced Retrieval for AI with Chroma: DeepLearning.AI
    • 人体生理学导论(中文版): Duke University
    • Web3 and Blockchain Leadership for Transformation: INSEAD
    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
    • ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization: SkillUp EdTech
    • C Programming: Modular Programming and Memory Management - 3: Dartmouth College
    • Social Media Analytics: Johns Hopkins 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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