Data Science with R training

Data Science with R training

Introduction to Data Science with R training:

Data Science with R training at Global online trainings – R is super cool, it’s a statistical programming language and it looks a bit daunting because it’s not sort of a GUI based application where you can click via menus and get the analysis or the graphs that you want to everything by the command line by typing text. So it can seem a bit complicated but  when you start using it actually it’s not as complicated as it seems and the best way to get with it is go to a couple of workshops, practice and play around with it yourself. Global online trainings is best in providing Data science with R online training by experts.

Overview of Data Science with R training:

  • R is completely free and open source with active community members, extensible and it offers various statistical and graphical techniques. R is compatible across all platforms Linux, windows and Mac .
  • People used to work at the command line with no sort of application to help them just sort of typing things at the command line and then if you wrote some code that you wanted to save for later on you would have to open up notepad and save it in the notepad and do it that way where as R studio is an interactive development environment they call it with it’s basically fancy way of saying a program that makes it easier for you to run R.
  • Let’s say that you want to create a new R script and then you should get something like this so that your screen is basically split into four different places. So start in the bottom left hand corner what they call the console and in the body part you can write R code and is actually executed. In the up side script where basically you can store your R code as you type it through.
  • It doesn’t make more sense in a second where we use it. In the top left we have got a environment and a history tab which we won’t really use so much. Down in the bottom right hand side you have the section that  you have a little file browser for your computer and if you look for any help for any packages and things they appear here as well. So if you just start down in the console you can think of this is actually running and it’s  very basic level R and there is a glorified calculator. So if we start using some mathematical operators so and press enter we will run the code and it will print the output for you.
Features of Data Science with R training:                                                                                                              KEY FEATURES OF DATA SCIENCE WITH R TRAINING
  • Actually a better way of keeping track of what you have typed and which bits is by using the script up here. So if you click o the top left panel. If you hit control + Enter what happens is the script passes this line in to the console. Basically gives the line of code to R and R runs it.
  • Although my code is been executed sort of disappears up at the screen, the code that I have written in the script stays. It is sort of like a text file that you can put all the bits of code in it that work well and it’s easier than to go back and change. So most of the time when you are writing code that you are interested in keeping editing and perfecting you want to be writing it inside the script and also you can save the script as .R file and then open it up and anything that you have written in there just like a text file will be in the next time.
  • Everything is an object or can be saved as an object so if I want to save the value you can reuse it later. Type the name of whatever you want to call the object and then this whatever the value is on the right hand side. So this basically says assign it to an object and hit ctrl+enter and you can see now that over here in our global environment. We have got an object called a and its value. This result of object is stored in this. Our consultants are highly skilled at Data Science with R online training.
  • You know that something is a function in R because it has some name, it could be enough to take this some name that the function has been called by who ever made the function and then open around brackets and knows that this is a function and it turns it orange because it is recognised this as function.
  • Some functions don’t need any arguments at all, you just give the name, you still put the code that the round brackets even if you haven’t given any arguments but most functions will accept arguments. So input basically it could be a series of numbers, it could be options and all of those things go inside the curly brackets.
Components of Data Science with R online training:

Data science is really important to understand the problem domain to give you context when you are looking at the data, so it’s a very simple problem, very well known and it gives a lot of people context which is one of the reasons why I selected it, you can click on the data here and you can see the various files what we are interested in here is train files and the test files.

  • Now when you click download each of these files on the links here. If you are not already a member of kaggle you will be asked to create an account. So go ahead and get the files downloaded, the train and test files downloaded to a location on your hard drive in preparation.
  • Other files here that you may want to take a look at if you are curiously they are essentially just other types of attempts at creating a machine learning data science solution that solves the problem. The point of the Titanic competition here is to take a look at the data that’s provided by kaggle and build machine learning model that accurately predicts who will survive and who will perish and what these other files are our example attempts at doing exactly that which is why you see model here at the end of the file names.
  • So you can take a look at those if you fit on your own time, if you would like that’s no problem however we won’t be doing a lot with that right now. R studio makes much more user friendly and that’s actually a concern R is not exactly the most friendly programming language in the world but it is extremely powerful. We are best in providing Data Science with R corporate training by industry experts.
  • The first thing you have to do is R Studio set up, set my session. Well, this is going to tell R stored all my data files so you don’t have to use fullpaths to resolve every time. So go ahead and choose a directory here and you will notice that essentially that series of menu clicks translated into some command line prompts here for our engine which essentially said set my working directory to my home directory here on my Mac cattle folder and then the Titanic subfolder.
  • Now R is awesome for working with data, once you get really good with R code, but when you get good with it you can actually do a ton of stuff with very little amounts of code coming from your fingertips.
  • So for example reading in CSV files is dead simple in R, you can literally use what’s known as the read CSV function, you provide it the file name. Now of course, you could use the entire file path but I set my working directory to prevent me from having to do that and I know that he CSV files have headers.
  • So I just say equal to true and you can run this code by simply highlighting these two lines and clicking run up here. And you will see down that it gets executed in the console automatically and R studio depicts my environment of what variables have loaded in memory. So what I have here is a variable called test and a variable called train. If you click on these you will get a visual exploration pane of the data. And you will notice that it’s very spreadsheet like it’s essentially just a table of data or a matrix if you are mathematically inclined and you can just take a look at the data.

Conclusion of Data Science with R training:

Data science is really important to understand behind the scenes if we hover the variable here in the R studio UI, you will notice that it says test is a data dot frame. Now data frame is a particular data type inside of R which is specifically designed for handling tabular data. Now as you might imagine those of you have worked with databases or maybe you have worked with spreadsheets. A lot of the world’s data is tabular format and are works very well with tabular data and you can see here we have got it. Global online trainings is best in providing Data Science with R online training by industry experts.

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Data Science with R training