Data Analyst Vs Data Scientist Vs Data Engineer In 2022 | Role, Skills, And Salary

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In this video, we will decode the basic differences between data scientists, data analysts and data engineers, based on the roles and responsibilities, skillsets required, salary, and the companies hiring them. Although all these three professions belong to the Data Science industry and deal with data, there are some differences that separate them. Every person who is aspiring to be a data professional needs to understand these three career options to select the right one form themselves.

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What is Data Science?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. The data used for analysis can be from multiple sources and present in various formats.

Why Data Science?
Data science or data-driven science enables better decision-making, predictive analysis, and pattern discovery. It lets you:
✅Find the leading cause of a problem by asking the right questions
✅Perform exploratory study on the data
✅Model the data using various algorithms

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