What’s the difference between data science and computer science?

From Time Magazine:

Computer science and data science are both growing areas with lucrative job opportunities. Data science focuses on collecting and organizing data for real-world problems, with a 35% job growth and average salary of $103,500. Data science skills include programming languages like SQL, R, and Python, along with knowledge of statistics, mathematics, and AI. Computer science studies a broad range of computer-related fields, offers different concentrations and specializations, and has growing job demand with average six-figure salaries. The main difference is that computer science is a more all-encompassing area of study, including data science itself. Computer science involves skills like computer networking, cybersecurity, programming languages like JavaScript and C++. On the other hand, data science focuses more on machine learning, AI, deep learning, and specific programming languages like SQL, R, and Python. Both fields are in demand and require continuous learning, especially in a business context.



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