Data Science is a multidisciplinary field which has now become a necessity in every industry. The amount of data being produced constantly requires experts to analyze it. Data mining and Statistics are part of the core requirements for Data Science.
Since, Data Mining and Statistics are so indispensable to data science it is important to know what these two constitute, how they are similar or different.
What is Data Mining?
Data mining involves a process of extracting previously unknown, comprehensible and actionable information from large databases. Correspondingly, this information is used to make crucial business decisions. The process of data mining involves four main stages, namely
- Identifying Data Sources: These range from databases to news wires, and are considered a problem definition.
- Data Exploration/ Gathering: This stage involves the sampling and transformation of Data.
- Modelling: This stage involves the sampling and transformation of data.
- Deploying Models: Take an action based on the results from the models.
What is Statistics?
Statistics is essentially a part of the process of data mining. It is the science of learning from data. Also, it provides tools and techniques for dealing with large amounts of data. Statistics includes a number of processes, like:
- The planning behind data collections
- Data management
- Drawing inferences from numerical data facts
Differences between Data Mining and Statistics!
Data mining and Statistics are both part of the process of learning from data and analysing it. They both discover and analyse structures in data with the aim to transform it into information. Although, both their aims are similar they have a difference in approaches.
Accordingly, let us see what this difference is!
Data mining and by extension Statistics form one of the basics of Data Science. Therefore, an understanding of these concepts can definitely give a boost to your Data Science career. However, if you are well aware of these concepts and are looking to kick-start your Data Science career you should go through our blogs on ‘How to become a Data Scientist?‘, ‘How to become a Freelance Data Scientist?‘, ‘Top 15 Questions for a Data Science Interview‘.