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  • R Statistics

R Statistics Courses

R Statistics courses can help you learn data manipulation, statistical modeling, hypothesis testing, and data visualization techniques. You can build skills in regression analysis, time series forecasting, and creating reproducible reports. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support analyzing datasets and presenting findings effectively. By engaging with these tools, you can apply statistical methods to real-world problems, enhancing your ability to draw insights from data.

Popular R Statistics Courses and Certifications


  • Status: Free
    Free
    C

    Coursera

    أساسيات تحليل البيانات باستخدام جداول بيانات جوجل

    Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Statistical Methods, Spreadsheet Software, Data Visualization, Graphing, Data Science, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    203 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Medical Privacy, Quality Assurance, Risk Analysis, Risk Management, R (Software), Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    The State University of New York

    Strategic Career Self-Management

    Skills you'll gain: Job Analysis, Adaptability, Professional Development, Dealing With Ambiguity, Personal Development, Lifelong Learning, Branding, Gap Analysis, Competitive Analysis, Self-Awareness, Dashboard, Portfolio Management, Goal Setting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    304 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Applied Mathematics, Model Optimization, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Network Model, Probability, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    47 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Strategic Thinking

    Skills you'll gain: Strategic Thinking, Strategic Decision-Making, Complex Problem Solving, Decision Making, Contingency Planning, Analysis, Trend Analysis, Case Studies, Competitive Analysis, Data-Driven Decision-Making, Business Analysis Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    115 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Systems Analysis

    Skills you'll gain: Feasibility Studies, Systems Development, Process Modeling, Software Design Documents, Software Development Methodologies, Business Analysis, Functional Requirement, Software Design, Business Process Modeling, Communication, Data Flow Diagrams (DFDs), Stakeholder Communications, Business Communication, Product Lifecycle Management, Stakeholder Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interacting with the System and Managing Memory

    Skills you'll gain: File I/O, Memory Management, Maintainability, C (Programming Language), Software Engineering, System Programming, Systems Development Life Cycle, Software Development, Simulations, Command-Line Interface, Collaborative Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    180 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Enterprise Java Beans (EJBs) and the Jakarta Persistence API (JPA)

    Skills you'll gain: Java Platform Enterprise Edition (J2EE), Java Programming, Object-Relational Mapping, Java, Application Servers, Middleware, Application Deployment, Data Persistence, Event-Driven Programming, Enterprise Application Management, Server Side, Code Reusability, Context Management, Transaction Processing, Business Logic, Query Languages

    4.8
    Rating, 4.8 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics with Python

    Skills you'll gain: Matplotlib, Plot (Graphics), Pandas (Python Package), Seaborn, SQL, Scientific Visualization, Data Visualization, Data Preprocessing, Jupyter, Data Manipulation, NumPy, Data-Driven Decision-Making, Regression Analysis, Accounting, Applied Machine Learning, Data Processing, Database Management, Query Languages, Data Compilation, Python Programming

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    116 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Embedded C Programming Essentials

    Skills you'll gain: Embedded Software, Debugging, Embedded Systems, Memory Management, Integrated Development Environments, C (Programming Language), Computer Programming Tools, Development Environment, C and C++, Software Development Tools, System Programming, Eclipse (Software), Build Tools, Programming Principles, Data Storage

    4.8
    Rating, 4.8 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • أساسيات تحليل البيانات باستخدام جداول بيانات جوجل : Coursera
  • Making Data Science Work for Clinical Reporting: Genentech
  • Strategic Career Self-Management: The State University of New York
  • Approximation Algorithms Part II: École normale supérieure
  • Logistic Regression with NumPy and Python: Coursera
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Strategic Thinking: Arizona State University
  • Introduction to Systems Analysis: IBM
  • Interacting with the System and Managing Memory: Duke University
  • Enterprise Java Beans (EJBs) and the Jakarta Persistence API (JPA): LearnQuest

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