Statistics is a branch of mathematics that deals with collecting, analysing, interpreting and presenting numbers.
Statistics are present everywhere but we often don’t see it. In the food we eat, statistics are there in the form of nutrients – the portion of carbohydrates, proteins etc. The school that kids attend has statistics in the form of the number of students, from the ratio of boys and girls in the class to the scores on the playing field.
Learning statistics means you get to play with numbers! The difference comes in what we know and what we think we know Learn more
Companies have collected data since the beginning of the digital age. Google collects our search queries, our browsing pattern when using google chrome, Facebook tracks the pages you visit, Twitter collects sentiments of people, mobile companies collect our call data and so on. Data has become ubiquitous and cheap.
Since the world is becoming more and more data-focused, the scope for qualified statisticians has grown tremendously. With the available data, there comes a need to gain insights and knowledge to make predictions and find patterns. A person is required to analyse and interpret data to find the underlying correlations and patterns to make predictions for the future. This is where statisticians come in. They are equipped with the knowledge to find patterns and correlations in data.
The most beautiful thing about learning statistics is it gives you the ability to predict. You can tell someone what’s going to happen in the future by analysing current trends. Statistics lets you find relations between two irrelevant data sets. Who would have thought that Google would know where you are going to eat this Saturday? Even weather forecasting uses statistics to make a prediction.
Statistics is a subject that has a wide application. Its scope is enormous and it can be applied even in hardcore technological areas like bioinformatics, signal processing, telecommunication and civil engineering. It deeply impacts subjects like data mining and artificial intelligence and statisticians can become business analysts, software engineers, research offices, data analysts, and more. Various government departments employ statisticians to design, collect, analyse and interpret data.
If data is a gold mine, statisticians are gold miners.
As Florence Nightingale said,
“Statistics is the most important science in the whole world, for, upon it, depends the practical application of every other (science) and of every art. To understand God’s thoughts we must study statistics, for these are the measure of His purpose.”
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