Geoffrey Hubona, Ph.D.
This course, The Comprehensive Statistics and Data Science with R Course, is mostly based on the authoritative documentation in the online An Introduction to R manual produced with each new R release by the Comprehensive R Archive Network (CRAN) development core team. These are the people who actually write, test, produce and release the R code to the general public by way of the CRAN mirrors. It is a rich and detailed 10–session course which covers much of the content in the contemporary 105–page CRAN manual. The ten sessions follow the outline in the An Introduction to R online manual and specifically instruct with respect to the following user topics:
1. Introduction to R; Inputting data into R
2. Simple manipulation of numbers and vectors
3. Objects, their modes and attributes
4. Arrays and matrices
5. Lists and data frames
6. Writing user–defined functions
7. Working with R as a statistical environment
8. Statistical models and formulae; ANOVA and regression
9. GLMs and GAMs
10. Creating statistical and other visualizations with R
It is a comprehensive and decidedly hands–on course. You are taught how to actually use R and R script to create everything that you see on–screen in the course videos. Everything is included with the course materials: all software; slides; R scripts; data sets; exercises and solutions; in fact, everything that you see utilized in any of the 200+ course videos are included with the downloadable course materials.
Instructor Details
Courses : 9
Specification: The Comprehensive Statistics and Data Science with R Course
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10 reviews for The Comprehensive Statistics and Data Science with R Course
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 19.5 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
Fabio Duque Degani –
Good match, although explanations so far have been a little bit too long.
Giuseppe Calisi –
videos starts buffering sometimes! Not ideal for an online course, isn’t it?
Sharon Majchrzak–Hong –
So far so good. I was looking for something that I could take at my own pace.
Svetlana Ivanov –
I liked the course. It has a lot of excesses and the explanation of scripts is very good.
Caitlin Collins –
This course was very comprehensive and engaging. The instructor did a good job of starting with the fundamentals and building the course from there. However, his explanation of different statistical models was incomplete and a bit frustrating. Sometimes he would get lost in his explanation and then not complete his sentence, which meant I was unsure which variables he was referring to. It was a great course to learn R but before taking this course I would recommend everyone who takes this course do an independent review of Regression and multivariate statistics.
Charles Audler –
Great teaching style! Jump started my R Learning
Kamil Osesik –
Troch zbyt chaotycznie, ale mo e to tylko wst p do podstaw, a trudniejsze rzeczy b d omawiane dok adniej 🙂
Chandan Singh –
This course is little lengthy, I was expecting where a person will teach you every thing in systematically; first give you the basic and then take some exercise and after that make a project. but more or less it is not that bad.
Sal Solaris –
Great, I’m learning a lot!
Marco Pesce –
Finally a university level course on Udemy.