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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 California, Santa Cruz

      C++ For C Programmers, Part B

      Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), Computer Programming, C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      327 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Introduction to Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access

      4.5
      Rating, 4.5 out of 5 stars
      ·
      412 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

    • E

      ESSEC Business School

      Foundations of marketing analytics

      Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Market Research, Customer Insights, R Programming, Data-Driven Decision-Making, Target Market, Data Analysis, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      760 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      How Software Ate Finance

      Skills you'll gain: FinTech, Payment Systems, Financial Services, Financial Market, Capital Markets, Financial Trading, Asset Management, Consumer Lending, Retail Banking, Banking, Financial Regulation, Investment Management, Digital Assets, Technology Strategies, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      155 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Simulation of Call Centre Operations Using R Simmer

      Skills you'll gain: Simulation and Simulation Software, Resource Management, Resource Allocation, Call Center Experience, Process Management, Data Analysis, Plot (Graphics), R Programming, Statistical Analysis, Operational Analysis, Statistical Modeling

      Beginner · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique

      Photovoltaic solar energy

      Skills you'll gain: Data Storage Technologies, Electrical Power, Electrical Systems, Energy and Utilities, Environmental Science, Project Finance, Power Electronics, Semiconductors, Economics, Basic Electrical Systems, Environment and Resource Management, Electrical Engineering, Chemical Engineering, Chemistry

      4.2
      Rating, 4.2 out of 5 stars
      ·
      473 reviews

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      Spatial Data Science and Applications

      Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Data Modeling, Data Integrity, Dependency Analysis, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      294 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Accounting and Finance Software, Specialized Accounting, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Data Collection, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Embedded Hardware and Operating Systems

      Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Operating Systems, Real-Time Operating Systems, Wireless Networks, System Programming, Hardware Architecture, Simulations, C (Programming Language), Network Protocols

      4.1
      Rating, 4.1 out of 5 stars
      ·
      625 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Scrimba

      Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

      Skills you'll gain: ChatGPT, Development Environment, Text Mining, Generative AI, OpenAI, Database Management, Data Storage, Data Processing, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…202122…48

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

    • C++ For C Programmers, Part B: University of California, Santa Cruz
    • Introduction to Clinical Data Science: University of Colorado System
    • Operations Research (3): Theory: National Taiwan University
    • Foundations of marketing analytics: ESSEC Business School
    • How Software Ate Finance: Stanford University
    • Simulation of Call Centre Operations Using R Simmer: Coursera Project Network
    • Photovoltaic solar energy: École Polytechnique
    • Spatial Data Science and Applications: Yonsei University
    • Relational Database Design: University of Colorado Boulder
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign

    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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