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    Results for "r"

    • Coursera Project Network

      RStudio for Six Sigma - Control Charts

      Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, Statistical Inference, Linear Algebra

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • SkillUp EdTech

      Data Collection and Root Cause Analysis

      Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Applied Machine Learning, Geographic Information Systems, GIS Software, Spatial Analysis, Environmental Monitoring, Unsupervised Learning, Data Analysis Software, Image Analysis, Machine Learning, R Programming, Data Processing, Open Source Technology, Data Collection, Data Transformation, Dimensionality Reduction, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Infosec

      C++ Interacting with the World and Error Handling

      Skills you'll gain: Application Security, System Programming, Secure Coding, C++ (Programming Language), C (Programming Language), Debugging, Embedded Systems, Interoperability, Data Validation

      2.8
      Rating, 2.8 out of 5 stars
      ·
      6 reviews

      Mixed · Course · 1 - 4 Weeks

    • University of California, Santa Cruz

      GO Programming for Everyone: Part 2

      Skills you'll gain: Go (Programming Language), Data Structures, Object Oriented Design, Object Oriented Programming (OOP), Programming Principles, Unit Testing, Algorithms, Computer Programming, Software Testing, Computer Science, C (Programming Language), Integration Testing, Debugging, System Programming, Software Design

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Korea Advanced Institute of Science and Technology(KAIST)

      Applied Math for Materials Science and Engineering

      Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, General Mathematics, Mathematical Modeling, Differential Equations, Derivatives

      Intermediate · Course · 1 - 4 Weeks

    • L&T EduTech

      Design of CPS with ARM processor using Embedded C

      Skills you'll gain: Embedded Systems, Embedded Software, Computer Systems, Internet Of Things, System Programming, C (Programming Language), Hardware Architecture, Peripheral Devices, Wireless Networks, Computer Architecture, Cybersecurity, Cloud Computing, Development Environment, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Instructor Network

      GenAI for Data Analysts

      Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, OpenAI, AI Personalization, Analytics, Data Transformation, Anomaly Detection, Predictive Analytics, Data Cleansing, Data Processing, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • University of Michigan

      Logistic Regression and Prediction for Health Data

      Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics

      Intermediate · Course · 1 - 4 Weeks

    Searches related to r

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    1…424344…48

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

    • RStudio for Six Sigma - Control Charts: Coursera Project Network
    • Model Diagnostics and Remedial Measures: Illinois Tech
    • Inferenzstatistik: Duke University
    • Data Collection and Root Cause Analysis: SkillUp EdTech
    • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
    • Statistical Methods for Computer Science: Johns Hopkins University
    • C++ Interacting with the World and Error Handling: Infosec
    • GO Programming for Everyone: Part 2: University of California, Santa Cruz
    • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
    • Design of CPS with ARM processor using Embedded C: L&T EduTech

    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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