Udemy

RStudio Bootcamp- for Data Management, Statistics & graphics

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  • 105 Students
  • Updated 5/2022
  • Certificate Available
4.6
(18 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 38 Minute(s)
Language
English
Taught by
Soumyajit Halder
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.6
(18 Ratings)

Course Overview

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.

Course Content

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

What You’ll Learn

  • 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.


Reviews

  • 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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