Statistics is a common term, which you might frequently hear in your daily lives. But have you wondered what it means and stands for? Statistics is the analysis of mathematical figures through different methods.
It gives us a more in-depth insight and meaning into different numbers. Statistics for data science is very fundamental and crucial. Data science revolves around figures, which is only made simpler and comprehensive with the help of statistics.
Why should you use statistics for data science?
If you see an ordinary chart – like a bar graph or a pie chart, data is easier to understand because it is visual. These are statistical graphs. It can give you a very high level of understanding of data, which is otherwise difficult to interpret. Moreover, you can carry out different operations on this data to make it more useful.
In today’s day and age, almost everyone – individuals, universities, companies, and governments – use data science. Everyone knows about the importance of data science. Statistics for data science is also essential because it helps come to concrete conclusions and then makes informed decisions. Sometimes, data is also used to predict what the future will look like.
