R語言導論




  • 開課機構: 財團法人資訊工業策進會-微軟專業學程MPP
  • 開課平台: 資策會-數位學習平台
  • 講師介紹: Filip Schouwenaars,Jonathan Sanito

  • Filip Schouwenaars
    Filip is the main course developer behind many of DataCamp's interactive courses. His courses and tutorials were already taken by thousands of students across the world. DataCamp has trained more than 250,000 data scientists who’ve completed over 3.7 million interactive exercises.

    Jonathan Sanito
    Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory.


    課程簡介

    R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

    This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

    What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

    課程目標

    • Introductory R language fundamentals and basic syntax
    • What R is and how it’s used to perform data analysis
    • Become familiar with the major R data structures
    • Create your own visualizations using R