Career Options in Data Science | Data Science Career Path | Different Career Paths In Data Science
*Career Options in Data Science | Data Science Career Path | Different Career Paths In Data Science* ?Liverpool John Moore University MS In Data Science: htt...
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*Career Options in Data Science | Data Science Career Path | Different Career Paths In Data Science*
🔥Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-masters-degree-ljmu/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_l-lnN4gQG6E_Description
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🔥Explore the growing career opportunities in data science, from data analyst to machine learning engineer — this video covers essential skills, top roles, and salary insights to help you start your journey. Check out the full blog here 👉https://www.upgrad.com/blog/career-in-data-science/
- The exciting world of data science awaits! This video equips you with everything you need to know about potential career paths, salary and how to become a data Scientist in this booming field. We all know Data Science is the combination of Computer science , Statistics and Mathematics let see how it will be used in Different Career Paths.
Data Science Career Aspirants are :
- Data Scientist
- Data Analyst
- Data Engineer
- Business Intelligence Analyst
*What is Data Science? *
The study of data to derive important business insights is known as data science. To analyze massive volumes of data, it is a multidisciplinary technique that blends ideas and methods from computer engineering, artificial intelligence, statistics, and mathematics.
*Get ready to discover:*
- The Data Science Landscape: Uncover the exciting intersection of computer science, statistics, and mathematics that forms the foundation of data science. Explore the vast potential of this field and the diverse career opportunities it offers.
- Charting Your Data Science Path: Learn about various data science career paths, such as data scientist, data analyst, machine learning engineer, and business intelligence analyst. Understand the unique skills and responsibilities associated with each role.
- Building Your Data Science Toolkit: Explore the essential skills and knowledge required to thrive in a data science career. This might include programming languages like Python and R, statistical analysis, data visualization, machine learning, and problem-solving abilities.
- The Technical skills Required for a Data Scientist are mathematics, Computer Programming and Statistics, they should also have some of the non technical skills like Strong business sense, Communication skills and Data Intuition.
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Jan 8, 2021
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