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    • R Programming

    R Programming Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

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    Explore the R Programming Course Catalog

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      568 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, File Systems, Computer Programming, Epidemiology, Social Network Analysis, Software Testing, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Java and Spring Developers

      Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Multimodal Prompts, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Restful API, OpenAI, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, LLM Application, Software Development, DevSecOps, Application Security, Application Programming Interface (API), Java Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • A

      Amazon Web Services

      Hands-on with AWS: Software Development Practices

      Skills you'll gain: CI/CD, Continuous Integration, Application Deployment, Continuous Delivery, Software Development, Version Control, Git (Version Control System), DevOps, Test Automation, Unit Testing, Amazon Web Services, Software Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Jupyter, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Python Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Kubernetes, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Restful API, Git (Version Control System), DevOps, Jupyter, Grafana, Software Engineering, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      62K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), CI/CD, Cloud Computing, Technical Communication, Unit Testing, Web Services, Email Automation, Configuration Management, Automation, Python Programming, Interviewing Skills, Professional Development, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      IA generativa en el aula

      Skills you'll gain: Generative AI, Prompt Engineering, ChatGPT, AI Personalization, LLM Application, Education Software and Technology, Artificial Intelligence, Creativity, Data Ethics, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      618 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      Foundations of marketing analytics

      Skills you'll gain: Marketing Analytics, Customer Analysis, Advanced Analytics, Business Analytics, Statistical Programming, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Predictive Modeling, Customer Relationship Management, Statistical Methods, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      761 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Tools for Improve and Control

      Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Project Management, Quality Management, Cost Benefit Analysis, Statistical Inference, Document Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

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

    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
    • Applied Data Science with Python: University of Michigan
    • Data Structures and Algorithms: University of California San Diego
    • Generative AI for Java and Spring Developers: IBM
    • Hands-on with AWS: Software Development Practices: Amazon Web Services
    • Data Engineering Foundations: IBM
    • Practical Time Series Analysis: The State University of New York
    • IBM DevOps and Software Engineering: IBM
    • Google IT Automation with Python: Google
    • IA generativa en el aula: Universidad Nacional Autónoma de México

    Skills you can learn in Data Analysis

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    Statistical Analysis (36)
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    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

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