Udemy

R for Researchers: From Basics to Advanced Analysis

立即報名
  • 41,711 名學生
  • 更新於 10/2025
  • 可獲發證書
4.4
(257 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 49 分鐘
教學語言
英語
授課導師
Senior Assist Prof Azad Rasul
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.4
(257 個評分)
5次瀏覽

課程簡介

R for Researchers: From Basics to Advanced Analysis

Master R Programming for Scientific Research

Are you ready to elevate your research with the power of R programming? This course is designed to take you from the fundamentals to advanced techniques, all while applying real-world examples from diverse research fields.

With over 12 years of experience in programming and scientific research, I will guide you through essential skills that will transform the way you approach data analysis, statistics, and visualization. You’ll learn how to manipulate, import, and export data, conduct robust statistical analyses including correlations, ANOVA, and t-tests, and create both basic and advanced graphs using R programming.

Throughout the course, you’ll gain hands-on experience with RStudio, mastering everything from data handling to crafting dynamic visualizations. Unlike traditional software like SPSS and Excel, R offers endless possibilities for customization and creativity in your research.

By the end of this course, you’ll be able to:

  1. Process and analyze data creatively using R for research.

  2. Manipulate, import, and export data effectively.

  3. Perform comprehensive statistical analyses, including correlations, ANOVA, and t-tests.

  4. Create basic, advanced, and animated graphs with R.

  5. Utilize RStudio as your go-to tool for scientific research.

Join me, Assist. Prof. Azad Rasul, and unlock the full potential of R in your research journey. Let’s get started!

課程章節

  • 6 個章節
  • 23 堂課
  • 第 1 章 Getting Started with R Programming
  • 第 2 章 Data Handling in R
  • 第 3 章 Statistical Analysis in R
  • 第 4 章 Advanced R Programming for AI
  • 第 5 章 Data Visualization and Reporting in R
  • 第 6 章 Course Wrap-Up and Bonus

課程內容

  • Develop practical skills in data manipulation, importing, and exporting using R.
  • Master descriptive statistics, correlations, ANOVA, and t-tests for research analysis.
  • Create basic, advanced, and animated graphs with R for insightful data visualization.
  • Enhance your creativity in data processing and statistical analysis in scientific research.
  • Gain proficiency in using R for comprehensive research projects and reporting.

評價

  • H
    Harsh kumar
    3.5

    if you have understanding of ML and DL then go for it

  • S
    Syed Inzimam Ali Shah
    5.0

    GREAT

  • T
    Tolulope Ogunniyi
    5.0

    Good

  • L
    Liul Tamirat
    5.0

    great

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