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25 Terms All Data Analysts Must Know
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This is the maintenance and protection of data over its entire lifecycle. It relates to security, backing up and removing duplicate data.
Data integrity
This involves using data to make assumptions and predictions on future outcomes. It’s essential to use this to maintain a competitive advantage in business.
Predictive analysis/predictive modelling
This is the act of removing data that will lead to distorted or inaccurate analysis. If your data is dirty, either because you’ve collected it in a poor way, or because it contains inaccuracies, then it’s time to put on a wash.
Data cleaning / data cleansing
Data analysts are expected to routinely check the gathering and storage of data to ensure it meets standards of quality and formatting. Good ________ practices will save a business time and money.
Data monitoring
This is at the heart of data analytics—broadly speaking, it refers to the whole process of searching through data to identify patterns and trends. Data analysts operate at the coalface of the information industry.
Data mining
This is a fairly simple concept. The data you gather and record must be correct, otherwise business decisions are going to be made based on false information.
Data accuracy
These are used to map out the ways in which data needs to flow. Using text and symbols, the relationships between complex streams of data and their movements can be understood at a more basic level.
Data modelling
Data analysts should have at least a rudimentary understanding of _______, since they often play a part in the analyzing of data. It’s important to know the difference between discrete variables and continuous ones, for example.
Statistics
A rather broad term to describe the actual act of collecting data. Data is collected via numerous methods, depending on the nature of the business or organization.
Data collection
Data analysts use a data visualization tool, commonly known as a _______, to convert all the data they receive into charts and graphs.
Dashboard


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