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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


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    CertNexus

    IRBIZ: Incident Response for Business Professionals

    Skills you'll gain: Incident Response, Computer Security Incident Management, Security Management, Incident Management, Cyber Risk, Regulatory Compliance, Compliance Management, Information Systems Security, Cyber Security Strategy, Cybersecurity, Enterprise Security, Federal Information Security Management Act, Law, Regulation, and Compliance, Regulation and Legal Compliance, Payment Card Industry (PCI) Data Security Standards, Computer Security, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Network Security, Sarbanes Oxley Act (SOX) Compliance, General Data Protection Regulation (GDPR)

    Mixed · Course · 1 - 3 Months

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    Board Infinity

    Prepare for SnowPro Core Exam: Architecture & SQL

    Skills you'll gain: Performance Tuning, Data Architecture, User Accounts, Data Warehousing, SQL, Database Management, Data Modeling, Data Transformation, Data Import/Export, Data Integration, Role-Based Access Control (RBAC), Data Governance, JSON, Data Security

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    Rating, 3 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Python Mastery: Core Concepts, Data Structures & OOP

    Skills you'll gain: File I/O, Object Oriented Programming (OOP), Object Oriented Design, Python Programming, Programming Principles, Data Dictionary, Computer Programming, Data Structures, Debugging, Computational Logic, Command-Line Interface, Software Design Patterns, Data Cleansing, Functional Design, Scripting, Operating Systems, Pseudocode, Development Environment, File Management, Computational Thinking

    4.9
    Rating, 4.9 out of 5 stars
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    56 reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Apache Maven Essentials for Build Automation

    Skills you'll gain: Apache Maven, Build Tools, Software Configuration Management, Continuous Integration, Integrated Development Environments, Java Programming, Dependency Analysis, Automation, Java, Product Lifecycle Management, Software Versioning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    Packt

    Ace the Salesforce Certified Tableau Data Analyst Exam

    Skills you'll gain: Salesforce, Data Mapping, Advanced Analytics, Data Integration

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Scrimba

    Data Structures and Algorithms: Merge Sort

    Skills you'll gain: Software Design Patterns, Computational Thinking, Software Design, Algorithms, Program Development, Software Development, Data Structures, Problem Solving, Computer Science, Machine Learning Methods

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    GenAI for Sales Operations Specialists

    Skills you'll gain: Sales Operations, Responsible AI, Sales Process, Sales Enablement, Generative AI Agents, Sales Management, Sales Strategy, Sales, Data Ethics, Forecasting, Prompt Engineering, Customer Relationship Management, Data-Driven Decision-Making, Strategic Decision-Making

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    DeepLearning.AI

    Function-Calling and Data Extraction with LLMs

    Skills you'll gain: LLM Application, Tool Calling, AI Workflows, Hugging Face, Unstructured Data, SQL, Web Services, Prompt Engineering, AI Enablement, Database Management, Restful API, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
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    27 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
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    KodeKloud

    Docker Basics for DevOps

    Skills you'll gain: Docker (Software), Containerization, DevOps, Linux Commands, Cloud-Native Computing, Command-Line Interface, Virtual Networking, Data Storage, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
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    42 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    OOP concepts, Collections and Data Structures

    Skills you'll gain: Object Oriented Programming (OOP), Java Programming, Java, Object Oriented Design, Data Structures, Debugging

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Cybersecurity Fundamentals for High-Tech Manufacturing

    Skills you'll gain: Incident Response, Computer Security Incident Management, Operational Risk, Case Studies, Security Management, Risk Management, Risk Mitigation, Intellectual Property, Crisis Management, Cybersecurity, Manufacturing Operations, Security Controls, Security Strategy, Cyber Security Strategy, Cyber Attacks, Cyber Engineering, Continuous Monitoring, Compliance Reporting, Governance, Design

    Intermediate · Course · 1 - 4 Weeks

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

  • IRBIZ: Incident Response for Business Professionals: CertNexus
  • Prepare for SnowPro Core Exam: Architecture & SQL: Board Infinity
  • Python Mastery: Core Concepts, Data Structures & OOP: EDUCBA
  • Apache Maven Essentials for Build Automation: Packt
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • Ace the Salesforce Certified Tableau Data Analyst Exam: Packt
  • Data Structures and Algorithms: Merge Sort: Scrimba
  • GenAI for Sales Operations Specialists: Coursera
  • Function-Calling and Data Extraction with LLMs: DeepLearning.AI
  • Docker Basics for DevOps: KodeKloud

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