Data Training Campus
Beginners Training on R Programming
R is a programming language and related to software environment for statistical computing and graphics. R programming languages is mostly used in graphics, it also used mostly by statisticians for developing software’s. Through this course one will be learning about basic R functions, special numerical values, array and matrix, repository and packages, installing a package, how to calculate variance, co–variance, cumulative frequency, learn about statistics, probability and distribution, random examples, discrete example and many as such concept about R.
Through this training you are going to learn the basics of R and how it can be used for data processing and data visualization to carry out exploratory analysis.
Target Customers:
Analytics professional
Anyone interested in R Programming related Training
Web developers
People interested in statistics and data sciences
Researchers
Pre–Requisites:
Passion to learn about R Programming Courses
Computer ready to run R and RStudio
Basic knowledge of statistics
Computer with Internet Connection
Statistics Essentials for Analytics – Beginners:
Data and analytics is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction–making.
Through this tutorial you are going to learn the basic statistical concepts that are important to data analytics and its application using R, SPSS and Minitab.
Instructor Details
Courses : 1
Specification: R Programming – Data Science using R
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9 reviews for R Programming – Data Science using R
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 7 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$14.99
Tasbiul Islam Nibir –
This course has a lot of contents but few slides had wrong information but to make it right the lesson was divided into more sub parts which was annoying. But i did learn a lot from this course. Thank you.
Jos Antonio Hern ndez Guti rrez –
Excelent course! I love R programming.
dhiraj raj –
it was awesome it made me learn statistics far easier
Siraj Ahmed –
Okay.. could be better.
Avnish Mishra –
Section 1 and section 2 are good but trainer in section 3 and section 4 are not able to make it engaging. I joined this course with high expectations to learn about R shiny but i believe i have to enroll other course for it.
Pathik Modi –
There is not proper alignment with each section. last two sections are diverting whole syllabus.
Vishal Choudhary –
R Shiny video is not complete
Priya Rawat –
Resource materials should be provided.
Shweta Pandey –
Section 1 was the best and section 2 was alright but section 3 and section 4 were not comprehensive at all. These two sections were hasty and vague and not properly explained.