Since early 2013, when I got to know of possible online learning for R through www.coursera.com, I have been a fan of this language.
My teachers in college would probably not like to hear this, but I was never a great Statistics student, it was always a "passing" requirement during my studies. However, when I learned about R and did some experimental work with R, i found that stats is indeed a very interesting and powerful mathematical tool. And with R i found it fun too, which in my personal opinion is the root of an ongoing learning process. If learning is not fun, it stops.
For me, laying my hands on RStudio was the best thing that happened to me around the statistics learning curve. The tool makes your R learning curve so much more easy and possible, the college could never do that.
As an example, in college we could never realise real life examples and uses of regression, curve fitting etc. However, now using R, it all makes so much more sense and with lot of ease.
I can't put a finger on the clear reason, whether the years have added that capacity to understand the subject, or the very fact that today these kinds of tools exist which let you explore that area with so much straightforward ease, but the fact remains. It has become so much easy, relatively, to get your hands on the power of statistics and analytics with tools like.
Thats probably one reason, why i am getting more and more inclined towards data analytics. Its a very powerful and interesting area, with huge potential towards shaping our future.
My teachers in college would probably not like to hear this, but I was never a great Statistics student, it was always a "passing" requirement during my studies. However, when I learned about R and did some experimental work with R, i found that stats is indeed a very interesting and powerful mathematical tool. And with R i found it fun too, which in my personal opinion is the root of an ongoing learning process. If learning is not fun, it stops.
For me, laying my hands on RStudio was the best thing that happened to me around the statistics learning curve. The tool makes your R learning curve so much more easy and possible, the college could never do that.
As an example, in college we could never realise real life examples and uses of regression, curve fitting etc. However, now using R, it all makes so much more sense and with lot of ease.
I can't put a finger on the clear reason, whether the years have added that capacity to understand the subject, or the very fact that today these kinds of tools exist which let you explore that area with so much straightforward ease, but the fact remains. It has become so much easy, relatively, to get your hands on the power of statistics and analytics with tools like.
Thats probably one reason, why i am getting more and more inclined towards data analytics. Its a very powerful and interesting area, with huge potential towards shaping our future.
