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  • R For Data Analysis

R For Data Analysis Courses

Courses in R for Data Analysis can help you learn data manipulation, statistical modeling, data visualization, and hypothesis testing. You can build skills in cleaning datasets, performing regression analysis, and creating informative graphs. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, showing how these tools facilitate efficient data analysis and enhance the presentation of findings.


Popular R For Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Copilot for Sales

    Skills you'll gain: Microsoft Copilot, Sales Presentation, Sales Enablement, Taking Meeting Minutes, Microsoft Teams, Email Automation, Microsoft Outlook, Sales Process, Personalized Service, Customer Communications Management, Microsoft 365, Calendar Management, AI Enablement, Company, Product, and Service Knowledge, Negotiation, Customer Relationship Building

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Creative Work

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, Art History, Creativity, Image Analysis, Prompt Engineering, Ethical Standards And Conduct, Innovation, Risk Management Framework, Environmental Issue, Creative Design, Trustworthiness, Intellectual Property, Problem Solving, Analysis, Experimentation, Leadership, Collaboration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    116 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Studying at Japanese Universities

    Skills you'll gain: Higher Education, Cultural Sensitivity, Intercultural Competence, Cultural Diversity, Language Learning, Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    454 reviews

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Software Architecture for the Internet of Things

    Skills you'll gain: Software Architecture, Functional Requirement, Requirements Analysis, Internet Of Things, Software Design Patterns, User Requirements Documents, Android Development, Application Frameworks, Maintainability, Interoperability, Software Quality (SQA/SQC)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    250 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Python for Google App Engine

    Skills you'll gain: Google App Engine, Cloud Applications, Restful API, Google Cloud Platform, Cloud Computing Architecture, OAuth, Cloud Computing, Cloud Services, Application Deployment, Platform As A Service (PaaS), Python Programming, Cloud Storage, Application Performance Management, Authentications, Web Applications, Data Store, MySQL, Scalability

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: HR)

    Skills you'll gain: AI Enablement, Business Process Automation, Digital Transformation, Employee Engagement, Recruitment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Python for Agentic AI

    Skills you'll gain: Performance Tuning, Artificial Intelligence, Maintainability, Python Programming, Performance Analysis, Software Architecture, Technical Writing, Program Standards

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Jira for Effective Retrospective Actions

    Skills you'll gain: Sprint Retrospectives, Jira (Software), Accountability, Agile Methodology, Issue Tracking, User Feedback, Continuous Improvement Process, Constructive Feedback, Action Oriented, Project Documentation, Taking Meeting Minutes, Prioritization, Record Keeping

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    E

    EDUCBA

    Apply Generative AI Strategies for Effective Leadership

    Skills you'll gain: AI Enablement, Strategic Leadership, Leadership, Strategic Thinking, Data Ethics, Business Transformation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Quantum Mechanics for Engineers

    Skills you'll gain: Electrical Engineering, Numerical Analysis, Linear Algebra, Physics, Angular, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Calculus, Differential Equations, Simulations, Physical Science

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    105 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Data Validation with Alteryx: Testing and Optimization Tools

    Skills you'll gain: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Integration, Data Import/Export, Data Loss Prevention, Anomaly Detection

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Copilot for Sales: Microsoft
  • AI for Creative Work: University of Michigan
  • Studying at Japanese Universities: The University of Tokyo
  • Software Architecture for the Internet of Things: 28DIGITAL
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Python for Google App Engine: Packt
  • Agentic AI Content for Practitioners (Teams: HR): Coursera
  • Optimize Python for Agentic AI: Coursera
  • Jira for Effective Retrospective Actions: Coursera
  • Apply Generative AI Strategies for Effective Leadership: EDUCBA

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