Published 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 lectures (1h 54m) | Size: 756 MB
Finally, an Easy Way to Learn R and Analyze Data in RStudio, Without The Frustrating "Steep" R Learning Curve
What you’ll learn
Install R and RStudio on your desktop, or use the new cloud-based solution that allows anyone to learn R, directly from your browser.
Learn the 10 most important things that 99% of R programmers should know about the RStudio IDE Interface.
how to install and load R packages, from CRAN and Github, into the R session
Import different types of data files into RStudio (csv, xlsx, txt, tsv, sav…) with the RStudio Importer Interface
Connect and read/write from and to relational databases with RStudio
Select, filter, join groups of observations, split, combine data with RStudio
Learn how to clean and transform messy data
Handle missing data within RStudio
Create interactive HTML widgets with 1 line of code
Requirements
Some programming concepts are required for advanced modules in this course.
Description
If you want to learn a simple way to analyze data with the R programming language, without all the "hard" work that too many people associate with learning R, then this is the course you want! Here’s why.But First, a Warning…Before we go further, let me make something abundantly clear. This is not a course that will make you an "instant" expert in R. This is also not a course that promises you that you will learn everything R in 2 hours, just by watching the videos. And I am not suggesting that everyone (or anyone) who watches this course will like it (maybe because of my French accent). In fact, if you don’t apply what you learn in this course and do the practice activities (there are 6 of them and 3 Capstone assigments), it’s more than likely that you will not learn anything to analyze your data in RStudio.with that said, let me jump right in and show you…Exactly What You’re GettingFirst of all, there isn’t any fluff or filler, no powerpoint to fill up time. This is also not an 8 or 10 hour video course like I see sometimes, because if you’re like me, you don’t have 10 hours sitting to watch programming videos to get your job done. You want something that goes right to the point. That’s what I am giving you….. and it is easy to follow. 1 hour 54 minutes of video and you’ll immediately "get" the system I use to start analyzing data in RStudio.I hear lots of people say R is a complicated language. I disagree. What used to be a steep learning curve has been made a lot simpler and more efficient with RStudio and the Tidyverse. In this Getting Started with RStudio course, you will learn everything you need to know to get started with RStudio IDE, and to clean, transform and load data with RStudio.Say goodbye to the frustrating "steep" R learning curveSay goodbye to complicated native base R commandsPlus you’ll also discover .What you should never do to clear your R environment. (Video #5)The 3 main reasons for a messy datasets (Video #16)The 3 rules for a clean dataset (Video #16)What you should never do when quitting your R session, and why? (Video #5)How to code in R, even without a laptop (Video #3)How to easily handle multiple projects, without ANY confusion, even if you don’t know how to program in R (Video #3)Where to find the easiest FREE online platform to code in R. (Video #3)The truth about rm(list=ls()) (Video #5)What to do if you forgot your laptop and want to analyze data in R (Video #3)What to do if you want to code in R and Python on the same RStudio account? (Video #3)How to create beautiful interactive graphs, tables and maps, even if you’re a brand new R programmer. (Video #7)2 ways to install and load R packages in RStudio (Video #6)You need expensive and professional drivers to connect to SQL databases, right? Wrong! (Video #13)How to get source data from Excel, sav, tsv, SPSS, SAS or Stata, even if you don’t know how to code. (Video #9,10,12)What to do if multiple variables and values are stored in 1 column. (Video #16)What to do if column headers are values instead of variable names (Video #16)What to do if variables are stored in both rows and columns. (Video #16)Say goodbye to frustrations when changing long to wide or wide to long format. (Video #16)Yes, that’s a lot of neat tips, but that’s not all, you’ll also discover …How to eliminate unnecessary coding for simple tasks like clearing the console, restarting R, or instantly finding previous commands. (Video #16)The difference between NA and NaN and why it matters (Video #19)The difference between = and == (single and double equal sign) The right way to use them (Video #18)4 ways to handle missing values (test, recode, drop, replace) (Video #19)How to create missing data out of invalid data. (Video #19)When it’s OK to extract and replace substrings from a character vector. (Video #17)How to split 1 column into 2,4 or even 10 new columns, in 1 go, with this very useful tidyverse function. (Video #17)What function to use if you want to apply a character function, or the same transformation, on multiple columns at a time. (Video #20)How to easily combine all character rows of multiple columns at once. (Video #20)When it’s not OK to use inner join to join tables together in R. (Video #21)What to do if you want to replace all "Null" values in a dataset (Video #19)How to remove NA values from a specific column and row, even if you want replace them with "0" (Video #19)… but it gets even better, because you’re also getting…ALL the Getting Started with RStudio Data FIles and R Codes You will receive all the essentials commands, data files and R code to get started with RStudio, import data into RStudio, transform data with RStudio and connect – write – read from/to SQL databases.Here Is What to Do NextThe cost of the course is $29.99, and you get it instantly after payment, in your Udemy member’s area.As soon as you place your order, you’ll get an autmated receipt with a link to view the video course. You can access it immediately, from anywhere, without waiting for a DVD or physical product.oh, and in case you’re wondering…THERE ‘S NO CATCH!I realize that there are video courses on R in the Udemy platform that promise you to be an expert or "master" R. I also know some of these courses have 6 or 8 hours of video content, and they’re priced the same, or even cheaper. So, the logical question is: "why buy this course?"The reason is simple, in my 1h 54m of video content, I show you what works now and if you’re a seasoned or aspiring data analyst who want to use RStudio and R to analyze data, you don’t want to go through 8 hours of content to find the commmands you need. You want the essentials, and some more, to get the job done. Because that’s what it is about. Getting started with RStudio and get the job done to load, clean and transform your data to start analyze it in the most efficient way possible.Anyway, with all that said, this is a limited offer at that price. I’m constantly testing the data and I might decide to increase the price. I really don’t know at that point.oh, one more thing, you’re also gettingALL the Getting Started with RStudio Chear Sheets In these 3 sets of cheat sheets, you’ll get one-pagers for quick reference to import, clean and transform data with RStudioGetting Started with RStudio cheat sheetImporting Data in RStudio cheat sheetTransforming (and Cleaning) Data In RStudio cheat sheetAnd by the way, you’ll still protected by… UDEMY’s 30-day Money Back Guaranteeof course, I am abiding by their 30-day guarantee, which states "We want you to be satisfied, so all eligible courses purchased on Udemy can be refunded within 30 days. For whatever reason, if you are unhappy with a course, you can request a refund". So if you’re requesting a refund, "Most refunds are returned via the original payment method." Be advised that "refund requests cannot be submitted in the Udemy mobile app" (you can read the full refund Policy on Udemy)How is that for fair?So go ahead a click the ENROLL NOW button on the right! Again, this is a limited offer!Thanks for taking the time to read this letter and I look forward to hearing from you soon in the member’s area.Emmanuel
Who this course is for
Beginner R developers curious about using RStudio and R for data analysis
Homepage
https://www.udemy.com/course/getting-started-with-rstudio-clean-and-transform-data-in-r/
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