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    Results for "r"

    • Sungkyunkwan University

      Machine Learning for Smart Beta

      Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • Vanderbilt University

      From Data to Decisions: Making Predictions with AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Technical Communication, Probability & Statistics, Data Analysis, Predictive Analytics, Generative AI, Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      RStudio for Six Sigma - Process Capability

      Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Probability & Statistics, Statistical Methods, Business Metrics, R Programming, Data Import/Export

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • SkillUp EdTech

      Leadership and Team Management

      Skills you'll gain: Team Motivation, Team Leadership, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Organizational Change, Six Sigma Methodology, Team Building, Cross-Functional Team Leadership, Teamwork, Leadership and Management, Lean Six Sigma, Business Metrics, Collaboration, Project Management, Organizational Structure, Key Performance Indicators (KPIs), Delegation Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Codio

      Select Topics in Python

      Skills you'll gain: Matplotlib, Version Control, Text Mining, GitHub, Large Language Modeling, Django (Web Framework), Package and Software Management, Platform As A Service (PaaS), Plot (Graphics), Application Deployment, Object-Relational Mapping, Natural Language Processing, Data Visualization Software, Data Visualization, Jupyter, Development Environment, Data Processing, Virtual Environment, Data Transformation, Dependency Analysis

      4
      Rating, 4 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 1 - 3 Months

    • University of California, Santa Cruz

      GO Programming for Everyone: Part 1

      Skills you'll gain: Debugging, Go (Programming Language), C (Programming Language), Program Development, Integrated Development Environments, Data Structures, Computer Programming, Algorithms, File Management

      Beginner · 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

    • Status: Free
      Free

      École Polytechnique Fédérale de Lausanne

      Enseignes et afficheurs à LED

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Computer Displays, Display Devices, Hardware Design, Electronic Hardware, Electronics, Electronic Components, Computational Logic, Remote Access Systems, Basic Electrical Systems, Programmable Logic Controllers, Control Systems, Embedded Systems, C (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 3 Months

    • Infosec

      Introduction to C++

      Skills you'll gain: Secure Coding, Computer Programming Tools, C and C++, C++ (Programming Language), Software Development Tools, Software Engineering Tools, C (Programming Language), Debugging

      2.9
      Rating, 2.9 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 4 Weeks

    • Google Cloud

      How Google does Machine Learning en Français

      Skills you'll gain: Google Cloud Platform, Data Strategy, Tensorflow, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Data Ethics, Applied Machine Learning, Deep Learning, Big Data, Jupyter, Data Processing, Data Pipelines

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Universidades Anáhuac

      Metodología Agile: la evolución de la mejora continua

      Skills you'll gain: Process Improvement, Agile Methodology, Continuous Improvement Process, Agile Project Management, Conflict Management, Team Building, Lean Methodologies, Sprint Retrospectives, Team Leadership, Employee Coaching, Sprint Planning, Active Listening

      4.4
      Rating, 4.4 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to r

    reinforcement learning
    real estate
    risk management
    robotics
    regulatory compliance
    research methodology
    radiology
    real estate development
    1…394041…48

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

    • Machine Learning for Smart Beta: Sungkyunkwan University
    • From Data to Decisions: Making Predictions with AI: Vanderbilt University
    • RStudio for Six Sigma - Process Capability: Coursera Project Network
    • Exploratory Data Analysis: University of Leeds
    • Leadership and Team Management: SkillUp EdTech
    • Select Topics in Python: Codio
    • GO Programming for Everyone: Part 1: University of California, Santa Cruz
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Enseignes et afficheurs à LED: Ã‰cole Polytechnique Fédérale de Lausanne
    • Introduction to C++: Infosec

    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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