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R Courses

R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.


More to explore:

Popular R Courses and Certifications


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    Packt

    C# Console Development Foundations

    Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), Microsoft Visual Studio, Debugging, .NET Framework, Object-Relational Mapping, Full-Stack Web Development, Development Environment, Software Testing, Application Development, Command-Line Interface, Data Structures

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Java Spring: Build a Shopping Cart App

    Skills you'll gain: Object-Relational Mapping, Hibernate (Java), Apache Maven, Model View Controller, Spring Framework, Relational Databases, Database Design, MySQL, Java, Full-Stack Web Development, Database Development, Authentications, Web Applications, Application Frameworks, Back-End Web Development, Data Validation, Data Modeling

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Complete SAS Guide - Learn SAS and Become a Data Ninja

    Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Regression Analysis, R (Software), Data Analysis, Pandas (Python Package), Excel Macros, Statistical Hypothesis Testing, Software Installation, Data Cleansing, System Configuration

    Beginner · Course · 3 - 6 Months

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    Packt

    The Complete Blazor Bootcamp - .NET 6 (WASM and Server)

    Skills you'll gain: UI Components, ASP.NET, JavaScript Frameworks, C# (Programming Language), Application Programming Interface (API), Web Applications, Full-Stack Web Development, Restful API, Cloud Deployment, .NET Framework, Microsoft Azure, Back-End Web Development, Object-Relational Mapping, Application Frameworks, Network Routing, Cloud Applications, Server Side, Javascript, Application Deployment, Authentications

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Crash Course on Embedded C Programming

    Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Programming Principles, Data Structures, Computer Programming Tools, Development Environment, Debugging

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Noise, Vibration & Harshness (NVH) Testing

    Skills you'll gain: Vibrations, Test Engineering, Product Testing, Performance Testing, Human Factors, Engineering Analysis, Digital Signal Processing, Laboratory Testing, Scientific Visualization, Data Integration, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

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    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    National Taiwan University

    商管統計資料分析三 (Analytics for Business and Management (III))

    Skills you'll gain: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

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    Packt

    Building Real-World Java Applications with Spring and Beyond

    Skills you'll gain: Apache Maven, Java Platform Enterprise Edition (J2EE), Hibernate (Java), Unit Testing, Docker (Software), Software Design Patterns, Object-Relational Mapping

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Data Querying in C#: Ecommerce Analytics API

    Skills you'll gain: Relational Databases, API Design, ASP.NET, Object-Relational Mapping, Databases, Query Languages, Back-End Web Development, Application Programming Interface (API), Restful API, Code Review, Database Design, SQL, Data Access, Data Manipulation, C# (Programming Language)

    Intermediate · Guided Project · Less Than 2 Hours

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

  • C# Console Development Foundations: Packt
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Java Spring: Build a Shopping Cart App: EDUCBA
  • Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt
  • The Complete Blazor Bootcamp - .NET 6 (WASM and Server): Packt
  • Crash Course on Embedded C Programming: Packt
  • Noise, Vibration & Harshness (NVH) Testing: Coursera
  • Managing Machine Learning Models: SAS
  • Learning Deep Learning: Unit 3: Pearson
  • 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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