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    Results for "r"

    • Board Infinity

      Backend Development for .Net Full Stack

      Skills you'll gain: Model View Controller, ASP.NET, Restful API, .NET Framework, JSON, Web Services, Web Applications, Application Programming Interface (API), Back-End Web Development, Software Architecture, Application Security, Object-Relational Mapping, Extensible Markup Language (XML), Authentications, Authorization (Computing)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      73 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New

      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, Waste Minimization, Corporate Sustainability, Environmental Laws, Industrial Design, Environmental Engineering, Product Lifecycle Management, Process Engineering, Design Strategies, Reverse Logistics, Logistics, Sustainability Reporting, Environmental Science, Material Handling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • 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
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Regression Analysis, Classification And Regression Tree (CART), Statistical Methods, Data Science, Decision Tree Learning, Predictive Modeling, Statistical Analysis, Artificial Neural Networks, Supervised Learning, Probability & Statistics, Dimensionality Reduction, Advanced Analytics, Random Forest Algorithm, Machine Learning, Sampling (Statistics), Statistical Inference

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • SkillUp EdTech

      Advanced Statistical Analysis and Tools

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      Microsoft

      Web Development with Python

      Skills you'll gain: Web Development, Flask (Web Framework), Restful API, Selenium (Software), Front-End Web Development, Web Applications, Full-Stack Web Development, Secure Coding, Object-Relational Mapping, JavaScript Frameworks, Application Security, Application Deployment, Cloud Applications, HTML and CSS, Back-End Web Development, Databases, Application Programming Interface (API), Microsoft Azure, Vue.JS, Relational Databases

      Beginner · Course · 1 - 3 Months

    • 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

    • INSEAD

      Web3 and Blockchain Leadership for Transformation

      Skills you'll gain: Blockchain, Governance, Business Transformation, Interoperability, Business Leadership, Strategic Partnership, Strategic 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

    Searches related to r

    reinforcement learning
    regulatory compliance
    regulatory affairs
    radiology
    risk management
    real estate
    research methodology
    r programming
    1…343536…48

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

    • Backend Development for .Net Full Stack : Board Infinity
    • Statistical Learning: Illinois Tech
    • Ciência de Dados para Finanças: Fundação Instituto de Administração
    • Sustainable and Circular Product Development: University of Colorado Boulder
    • 计算机系统基础(一) :程序的表示、转换与链接: Nanjing University
    • ARM Cortex (STM32) Fundamentals: Building Embedded Systems: EDUCBA
    • Statistical Learning for Data Science: University of Colorado Boulder
    • How Google does Machine Learning 日本語版: Google Cloud
    • Advanced Statistical Analysis and Tools : SkillUp EdTech
    • Web Development with Python: Microsoft

    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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