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Often people who are interested in the data science field have a perception that “data science is all about dealing with data”, which is partially true. But the main question is “how would you deal with the data?”, to build a machine learning model first we need to understand the underlying patterns in the data, which will help to decide on which specific ML algorithm should be used for providing a solution for the problem. To understand the patterns we need some basic knowledge of statistics, today we will be discussing a few very basic and important areas of statistics that will be helpful to start a career in the field of data science.
Data
Data is a collection of facts and records which provides an understanding of “what has happened”, “when it has happened” and “what is going on”.
With the help of data science methodologies, we use the available and relevant data and try to estimate “what could happen in the future” and “when it is likely to happen”. For producing these results as a data scientist. we need to have a good amount of knowledge on statistics, which helps to understand what the data is representing. For instance, consider you were asked to talk about…
