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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
    C

    Coursera

    GenAI for Sales Ops: Automating Workflow Efficiency

    Skills you'll gain: Generative AI Agents, HubSpot CRM, Sales Enablement, Customer Relationship Management (CRM) Software, Sales Process, Business Process Automation, Sales Management, Lead Generation, Workflow Management, AI Workflows, Agentic Workflows, Process Analysis, Sales, Automation, Data Entry, AI Enablement, Business Process Modeling, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Process Map Data using C++ Adjacency List Shortest Path

    Skills you'll gain: Graph Theory, C++ (Programming Language), Network Routing, Data Structures, Object Oriented Programming (OOP), File I/O, Computational Thinking, Algorithms

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    HTML Tutorial for Beginners

    Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Responsive Web Design, Web Design, Cascading Style Sheets (CSS), Web Design and Development, Web Content Accessibility Guidelines, Typography

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Adobe

    Create and Publish Content for Your Audience with AI

    Skills you'll gain: Adobe Express, Adobe Firefly, Adobe Acrobat, Content Creation, Digital Publishing, Storytelling, AI Workflows, Responsible AI, Content Strategy, digital literacy, Content Management, Visual Design, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, NoSQL, Apache Hadoop, Real Time Data, Apache Mahout, Distributed Computing, Deep Learning, Cloud Computing, Apache Kafka, Data Processing, Data Storage Technologies, Unsupervised Learning, Databases, Graph Theory, Machine Learning, Machine Learning Algorithms, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Se préparer à devenir Professional Data Engineer

    Skills you'll gain: Data Pipelines, Google Cloud Platform, Data Processing, Data Storage, Cloud Engineering, Systems Design, Data Infrastructure, Data Management, Data Architecture, Data Integration, Data Analysis, Automation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Agile Leadership for Distributed Teams

    Skills you'll gain: Collaborative Software, Team Leadership, Virtual Teams, Cross-Functional Team Leadership, Agile Methodology, Organizational Leadership, Innovation, Team Management, Team Building, Communication, Employee Engagement, Change Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Reconciling Account Data with Cloud Spanner Change Streams

    Skills you'll gain: Reconciliation, Dataflow, Google Cloud Platform, Big Data, Financial Data, Data Pipelines, Data Integration, Event Monitoring

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Fundamentals for Implementing a Hypertension Program

    Skills you'll gain: Blood Pressure, Medication Dispensation, Pharmacy Operations, Healthcare Project Management, Community Health, Care Management, Chronic Diseases, Medication Administration, Medication Therapy Management, Patient Evaluation, Public Health and Disease Prevention, Pharmacotherapy, Diagnostic Tests, Patient Treatment, Collaboration, Planning, Patient-centered Care, Teamwork, Vital Signs, Communication

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Application Modernization for Enterprise Systems

    Skills you'll gain: Event-Driven Programming, DevOps, Data Integration, z/OS, IBM Cloud, Hybrid Cloud Computing, CI/CD, Mainframe Technologies, Mainframe Computing, Cloud Development, Cloud Applications, Enterprise Application Management, Application Deployment, Middleware, Data Access, Application Design, Containerization, Cloud API, Application Programming Interface (API), Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Analytical Mechanics for Spacecraft Dynamics

    Skills you'll gain: Engineering Analysis, Vibrations, Mechanics, Finite Element Methods, Differential Equations, Control Systems, Applied Mathematics, Mathematical Modeling, Linear Algebra, Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • GenAI for Sales Ops: Automating Workflow Efficiency: Coursera
  • Process Map Data using C++ Adjacency List Shortest Path: Coursera
  • HTML Tutorial for Beginners: Packt
  • Create and Publish Content for Your Audience with AI: Adobe
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Se préparer à devenir Professional Data Engineer: Google Cloud
  • Agile Leadership for Distributed Teams: Coursera
  • Start Writing Prompts like a Pro: Google
  • Reconciling Account Data with Cloud Spanner Change Streams: Google Cloud
  • Fundamentals for Implementing a Hypertension Program: Johns Hopkins University

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