Should i learn R?

shoshi

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I have heard its not the easiest language to learn but it will be important to know in future. Anyone here use it? If so what field do you use it in?
 

Should i learn R?​


Only after you have learned the rest of the alphabet
 
I have heard its not the easiest language to learn but it will be important to know in future. Anyone here use it? If so what field do you use it in?
If you want you can. Statistics is one field.
 
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After all these years, I still don't know C as well as I would like to.
 
C is still a good low level language to know. C++ was developed as a faster version of C. Microsoft developed C* as alternative to Java. I know Java so C* would be easy for me but unless you want to build windows based apps or go into game development do you need C*?
 
The most difficult thing to know is U.
 
I didn't us it either after college the place I worked at used DOS.
The first place I worked didn't have a computer unless you wanted to count that $800 adding machine, or my trusty slide rule.
 
I have a friend who uses it [MIT grad, data science] but it really depends on your needs and the shop that you work in.
For example, this friend [actually, daughter of close friend] and I would usually nerd out on data but our needs are very different. For her, she will use R after some Python use for her data work. I know Python better and even that is just for fun but they are both the wrong tool for the job when dealing with large data sets.
Usually she and her MIT grad husband will be handed a what I would consider to be almost a cute size data set of a few MB while I will be working in the TB range.
Sure, R has it's uses but I am the one who will be building the OLAP system out of terabytes of data from multiple sources that will be able to hand them their cute little data set.
 
I have a friend who uses it [MIT grad, data science] but it really depends on your needs and the shop that you work in.
For example, this friend [actually, daughter of close friend] and I would usually nerd out on data but our needs are very different. For her, she will use R after some Python use for her data work. I know Python better and even that is just for fun but they are both the wrong tool for the job when dealing with large data sets.
Usually she and her MIT grad husband will be handed a what I would consider to be almost a cute size data set of a few MB while I will be working in the TB range.
Sure, R has it's uses but I am the one who will be building the OLAP system out of terabytes of data from multiple sources that will be able to hand them their cute little data set.
I do not get to use python as much anymore. Dell has me using java with Spring frameworks for the back end. Typescript for front end.
 
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I have a friend who uses it [MIT grad, data science] but it really depends on your needs and the shop that you work in.
For example, this friend [actually, daughter of close friend] and I would usually nerd out on data but our needs are very different. For her, she will use R after some Python use for her data work. I know Python better and even that is just for fun but they are both the wrong tool for the job when dealing with large data sets.
Usually she and her MIT grad husband will be handed a what I would consider to be almost a cute size data set of a few MB while I will be working in the TB range.
Sure, R has it's uses but I am the one who will be building the OLAP system out of terabytes of data from multiple sources that will be able to hand them their cute little data set.
Do you use Pandas working with large databases?
 
Do you use Pandas working with large databases?
No, because Pandas requires python and while Python is really great for small data sets, it sucks for large databases.
First comes SQL when dealing with big data sets. Many people are shocked when they find out that data scientists will work mostly in SQL and data cleansing. It is only at the end where they will pull out R and Python
 
No, because Pandas requires python and while Python is really great for small data sets, it sucks for large databases.
First comes SQL when dealing with big data sets. Many people are shocked when they find out that data scientists will work mostly in SQL and data cleansing. It is only at the end where they will pull out R and Python
Do you ever use ruby on Rails? if you select MySQL it uses SQLite by default. I work in software engineering but I do like the challenges of data science. There are more jobs in software engineering so I that is what i went into.
 
Nope. I use MS-SQL which uses SSRS/SSIS/SSAS. I use SSIS and T-SQL to get my data into a data warehouse where I will use SSAS to convert that into a OLAP along with some MDX thrown in for fun. It has been years since I've used MySQL - it was always pretty far behind all of the other big hitters like Oracle [whom now owns MySQL], DB2, MS-SQL. I was a college professor for a while where I got started by teaching MS-SQL. That moved to all of the other topics until I was the dean of computer programming and computer technology. Back in the real world now.
SQLite has been useful for tiny projects and I have been known to use it in conjunction with Python.
I have always loved the data side but did get my start with programming. Being able to make sense of a mess of data is something that I will also do for fun as well as my day job. For example, I am taking a tiny break from working on a new OLAP project where I will be able to figure out when and why people drop their insurance on their cars. When I get home, I might play around with my weather data where I have daily weather for every county in the US.
For Fun
I was also playing around with some of my waze data where I was discovering speed traps on a road that I haven't been on. For Fun but also because I just drive too fast.
The IT shop that I work at runs off of Microsoft products: application developed in C#, web servers for app are Microsoft, data is stored in a Microsoft SQL databases. It is always a never ending learning experience which is something that I've always enjoyed.
 
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