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    Results for "r"

    • University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Maryland, College Park

      Combining and Analyzing Complex Data

      Skills you'll gain: Statistical Analysis, Statistical Software, Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Probability & Statistics, Information Privacy

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · Course · 1 - 4 Weeks

    • Duke University

      Interacting with the System and Managing Memory

      Skills you'll gain: Maintainability, Program Development, C (Programming Language), Software Engineering, System Programming, Programming Principles, Software Development, Simulations, Command-Line Interface, Operating Systems, User Interface (UI), Data Structures, Debugging, Data Import/Export, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      52 reviews

      Intermediate · Course · 1 - 3 Months

    • Arm

      Introduction to Microprocessors

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, System Programming, Embedded Systems, Data Storage, Computer Programming, C (Programming Language)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • Imperial College London

      Interventions and Calibration

      Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, R Programming, Differential Equations, Statistical Methods, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      18 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Universidad Austral

      Manejo de bases de datos con Python

      Skills you'll gain: Relational Databases, Object-Relational Mapping, Database Management, Database Design, SQL, Databases, Database Development, Query Languages, Data Integrity, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      180 reviews

      Beginner · Course · 1 - 4 Weeks

    • University at Buffalo

      Data Analysis and Visualization

      Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Data Quality, Process Analysis, Business Process, Business Strategies, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Johns Hopkins University

      Introduction to the Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    Searches related to r

    risk management
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    react
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    1…282930…48

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

    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Combining and Analyzing Complex Data: University of Maryland, College Park
    • Interacting with the System and Managing Memory: Duke University
    • Intro to Operating Systems 4: Persistence: Codio
    • Introduction to Microprocessors: Arm
    • Interventions and Calibration: Imperial College London
    • Digital Technology in Manufacturing: L&T EduTech
    • Manejo de bases de datos con Python: Universidad Austral
    • Data Analysis and Visualization: University at Buffalo
    • C Programming: Language Foundations - 2: Dartmouth College

    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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