Udemy

RStudio Bootcamp- for Data Management, Statistics & graphics

立即報名
  • 105 名學生
  • 更新於 5/2022
  • 可獲發證書
4.6
(18 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
12 小時 38 分鐘
教學語言
英語
授課導師
Soumyajit Halder
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
4.6
(18 個評分)
2次瀏覽

課程簡介

RStudio Bootcamp- for Data Management, Statistics & graphics

A complete guide to RStudio- from performing simple operations, to developing complex models, visualization & simulation

R is a general purpose statistical software package used in many fields of research. It is licensed for free - an open source software. It has large user and growing developer base.

I have developed this course for users of R. My primary goal is to provide an easy way to learn how to perform an analytic task in this system, without having to go through complex documentations. This course will give you a classroom like training experience and covers vast topics such as data management, descriptive summaries. inferential procedures, regression analysis, time series analysis, multivariate methods, simulation and graphics.

Therefore this course not only teaches you to clean and analyze data, it also gives you a pavement to develop colorful reports for the purpose of management communication.

I did not attempt to complicate things in as many ways as possible to keep the understanding sweet and simple. I have given a simple approach that is easy to understand for a new user, and have tried to provide several solutions where deemed possible.

I request you to watch the lectures at your own pace and practice the codes one by one with the given and new datasets. This will enhance your learning even more.

課程章節

  • 12 個章節
  • 35 堂課
  • 第 1 章 Installation and Introduction to R Studio
  • 第 2 章 Inputs and Outputs
  • 第 3 章 Data Management
  • 第 4 章 Statistical and Mathematical Functions
  • 第 5 章 Programming and Operating System (OS) Interface
  • 第 6 章 Common Statistical Procedures
  • 第 7 章 Linear Regression and ANOVA
  • 第 8 章 Regression Generalizations and Modeling
  • 第 9 章 Graphical Compendium
  • 第 10 章 Graphical Options and Configurations
  • 第 11 章 Time Series Analysis
  • 第 12 章 Simulation

課程內容

  • Primary goal is to provide users with an easy way to learn how to perform an analytics task in RStudio.
  • Includes many common tasks, including data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods and graphics.
  • Includes some complex applications such as Simulation
  • Tried to provide a simple classroom type approach that is easy to understand for a new user, and supplied several solutions where deemed necessary.


評價

  • M
    Michael A Bryan
    1.0

    the instructor seems confused on the material. no preparation - the material seems just off the cuff. put some effort into it, fellow.

  • S
    Soumyadev Guha
    5.0

    Good course for developing concepts!

  • S
    Shamya Mishra
    5.0

    Thank you for a great learning experience that I had during your sessions. Very informative and easy to understand.

  • P
    Prachi Poorva
    5.0

    Very informative! A great way to get hands-on knowledge about R!

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