Data Science and Statistics
Data science is a process of pre-processing, visualizing, and analyzing the data to get beautiful insights and these insights can be used to make better decisions, which can be helpful for the growth of an organization Let us understand this with an example, Assume that there is an ABC company where they are manufacturing some x products, and suddenly the sales of the company were reduced in a month but they don’t know the reason why it happens so they want to know why this happens. Here, data science comes into play. you may think this data science is useful in knowing the reason, right? So here is the answer, now what the company will do is get the data from the past few months from their server or database and perform some analysis on the data to know where the mistake happens and how this happens, so they can immediately work on it to regain their customers. This entire process is known as data science, and I hope now you have a better understanding of what it is. When it comes to statistics, which we have already studied since our school days, it plays an important role in analyzing and visualizing data. we can study the distribution using different charts and visualize the data using different plots
How does Data Science Differ from Traditional Statistics?
Do you ever wonder how statistics are related to data science? Many people will think that statistics is a mathematical branch and data science is related to technology, How do these both relate right? In this article, we will be discussing data science, statistics, and how Data Science differs from statistics.