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    Results for "r programming"

    • IBM

      Introduction to Software, Programming, and Databases

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Cloud Applications, Database Management, Cloud Computing, Relational Databases, Data Access, Information Technology, Database Application, Software Installation, Browser Compatibility, SQL, Computer Programming, System Configuration, Software Versioning, Javascript

      4.8
      Rating, 4.8 out of 5 stars
      ·
      390 reviews

      Beginner · Course · 1 - 3 Months

    • Sungkyunkwan University

      The Fundamental of Data-Driven Investment

      Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Regression Analysis, Data Manipulation, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Expressway to Data Science: Python Programming

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Beginner · Specialization · 1 - 3 Months

    • University of Virginia

      Managing an Agile Team

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, Kanban Principles, User Story, Sales Presentation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      941 reviews

      Intermediate · Course · 1 - 3 Months

    • IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Microsoft SQL Servers, Query Languages, Database Management, Databases, Cloud Management, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      Introduction to Basic Game Development using Scratch

      Skills you'll gain: Event-Driven Programming, Debugging, Programming Principles, Algorithms, Video Game Development, Computer Programming Tools, Game Design, Computer Programming, Program Development, Animation and Game Design, Interactive Design, Integrated Development Environments, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Northwestern University

      Modern Robotics, Course 1: Foundations of Robot Motion

      Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Torque (Physics), Simulation and Simulation Software, Matlab, Linear Algebra, Angular

      4.7
      Rating, 4.7 out of 5 stars
      ·
      987 reviews

      Intermediate · Course · 1 - 3 Months

    • Duke University

      Data Visualization and Transformation with R

      Skills you'll gain: Version Control, Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • SkillUp EdTech

      Scrum Master

      Skills you'll gain: User Story, Sprint Retrospectives, Sprint Planning, Backlogs, Agile Methodology, Agile Product Development, Agile Project Management, Team Building, Product Roadmaps, Team Management, Project Closure, Organizational Change, Meeting Facilitation, Team Leadership, Agile Software Development, Project Management, Product Management, Employee Coaching, Stakeholder Management, Kanban Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      395 reviews

      Beginner · Specialization · 3 - 6 Months

    • National Academy of Sports Medicine

      NASM Personal Fitness Trainer

      Skills you'll gain: Goal Setting, Kinesiology, Nutrition and Diet, Health Assessment, Nutrition Education, Preventative Care, Public Health and Disease Prevention, Patient Education And Counseling, Respiration, Train The Trainer, Chronic Diseases, Patient Evaluation, Physical Therapy, Rehabilitation, Neurology, Injury Prevention, Automated External Defibrillator, Cardiopulmonary Resuscitation (CPR), Overcoming Obstacles, Coaching

      4.8
      Rating, 4.8 out of 5 stars
      ·
      127 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to r programming

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    1…454647…290

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

    • Introduction to Software, Programming, and Databases : IBM
    • The Fundamental of Data-Driven Investment: Sungkyunkwan University
    • Introduction to Data Analytics for Business: University of Colorado Boulder
    • Expressway to Data Science: Python Programming: University of Colorado Boulder
    • Managing an Agile Team: University of Virginia
    • Deep Learning with Keras and Tensorflow: IBM
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Introduction to Basic Game Development using Scratch: Coursera Project Network
    • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
    • Data Visualization and Transformation with R: Duke 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 Programming

    R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.‎

    It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.‎

    Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.‎

    Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.‎

    Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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