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Data Science Roadmap: How to Become a Data Scientist in 2024

Edureka

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Look into Dplyr in R for more efficient data manipulation tasks.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.