Long gone are the days when data science skill was required by only handful of people like researchers, scientists and scholars who used the data for several inferential and predictive purposes.
There was an elite time when mathematics and statistics were understood by only few.
In today’s time, concepts to elementary subjects and hands on to a new technology has become an important food to both thought and skills. W/O proper understanding to Math & required subjects of data science, gaining expertise to it is a challenge and up-hill tasks. Getting familiar to computer software codes are also equally important.
First step to beginning a right career towards data science is to build proper reasoning to things. One might wonder about all this to really work. If you want to test your ability on your reasoning then you might want to analyse your questioning ability to a problem. If you are asking the right questions to things then you have a better ability to analyse and understand things.
Practically, pioneering the skills for data science need a lot of discipline and dedication. If you want to check your interest level consistency you may refer to any elementary mathematics or statistics topics overview and check for your self if you can take it, absorb it, comprehend and interpret it. If you can, then you can pursue it further.
I encourage all the people out there who are about to pursue a data science course, to thoroughly check your ability to grasp and maintain the interest levels consistently. Getting a trained and motivated coach is also an important aspect before you make a decision to bring a difference in your life towards analytics.
Wish a good luck to all!!