Data mining is a process to structure the raw data and formulate or recognize the various patterns in the data through the mathematical and computational algorithms. It helps to generate new information and unlock the various insights. Data Analysts have to often mine or collect data. Getting data from the company database or extracting it from external sources to do any sort of research is one of the major roles of any Data Analyst.
Data cleansing is the first step in the overall data preparation process and is the process of analyzing, identifying and correcting messy, raw data. When analyzing organizational data to make strategic decisions Data Analysts must start with a thorough data cleansing process. The good analysis rests on clean data–it’s as simple as that. Cleaning involves removing data that may distort your analysis or standardizing your data into a single format.
Needless to say, this role is a must for any Data Analyst. Data Analysis the art of exploring the facts from the data with specific to answer a specific question.
It is the process of evaluating data using analytical and logical reasoning to examine each component of the data provided. One uses statistical tools to analyze and interpret the data.
There are various tools and programming languages used in the analysis.