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Data Scientist vs Data Engineer: What should you choose? | Data Engineering | Data Science @SCALER
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Who are Data Scientists?
Data scientists choose the questions their team should pose and work out how to use data to provide answers. They frequently create predictive models for forecasting and theorising.
Who are Data Engineers?
Data engineers design and construct pipelines that transform and ship data into a format that is highly usable when it is received by data scientists or other end users.
What is the role of a Data Engineer?
A data engineer's responsibility is to construct or combine many components of complex systems while taking into consideration the information needed, the aims of the business, and the demands of the end-user. Data engineers design, implement and manage the backend infrastructure that allows analysts and data scientists to derive insights from the data.
What is the role of a Data Scientist?
Data scientists use their experience in a range of data niches to assist businesses in interpreting and managing data as well as solving complicated challenges.
What is Data Science?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
Topics Covered:
0:00 - Introduction
0:27 - Why freshers are confused about Data Engineers & Data Scientists?
1:09 - Why is Data in demand?
1:48 - Data Science vs Data Engineering
2:08 - Roles & Responsibilities of a Data Engineer
5:18 - Roles & Responsibilities of a Data Scientist
8:55 - Data Engineer Skill Set
15:11 - Data Scientist Skill Set
18:40 - Common Skill Sets of Data Engineers and Data Scientist
19:35 - How to choose a career path? Data Science or Data Engineering?
26:42 - Salary of Data Engineers & Data Scientists (CTC)
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