Published 11/2022Created by Surendra Varma PericherlaMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 21 Lectures ( 1h 26m ) | Size: 245 MB
Basics of R Programming
Data Structures in R
Create your own functions that will enable you to reutilize code.
Do interesting graph plotting
No Prior Programming Experience Needed.
So, you've decided that you want to learn R or you want to get familiar with it, but don't know where to start Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programmingThen, this course was designed just for you!This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:1. Basics of R 2. Control Statements in R3. Functions in R4. Data Structures in R5. Plotting Graphs in RThis course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.Here are some examples of things you will be able to do after finishing the course
o interesting line plots that enable you to draw conclusions from data.Plot histograms of numerical data.Create your own functions that will enable you to reutilize code.Data Structures in R Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language.This course will be constantly updated based on students feedback.Business Analysts
Data Analysts
Financial Managers
Statisticians
R learners
Data Scientists
Data Eeers
Entry-level Data Scientists
Software Eeering Undergraduates
Graduate Students
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