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Data Science vs Computer Science vs Data Analytics

Of the many fields that are responsible for the increasing buzz in the technology sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology. <br><br>Where do these domains fit in? How do they differ from each other? How would you launch your career in them? If you are on the fence about which field to choose, here is an in-depth comparative analysis for you.

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Data Science vs Computer Science vs Data Analytics

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  1. Data Science Data Analytics Computer Science

  2. Data Science Used in large and small-scale data- driven organizations. 1 Study of Data. Involves storing, procuring, and organizing data. Widely used across business logistics, healthcare, entertainment, finance, and education. 2 3 Mathematical approach and prevents data redundancy.

  3. Computer Science 1 Used in all technical organizations. Study of computation and its applications. Involves implementing computational systems in software and hardware. Widely used across banking, healthcare, business, governance, and entertainment. 2 3 Computational approach. Boosts speed and efficiency.

  4. Data Analytics Used in large and small-scale data- driven organizations. 1 Analysis of data. Involves analysis of raw data to find answers. Widely used across industries for risk detection, tracking customer behaviour, and security. 2 Statistical approach. Picks up trends from massive amounts of data without loss. 3

  5. Data Scientist Skills 1 2 3 4 Data Manipulation and Integration Statistics and Programming Machine Learning Data Visualization

  6. Computer Scientist Skills 1 2 3 4 Software Development Mathematics and Technical Writing Computer and Technology Programming

  7. Data Analyst Skills 1 2 3 4 Statistics Programming Data Management Critical Thinking

  8. Tools Used in Data Science 1 Data Collection Tools (Trackur, Semnatria) Data Storage Tools (MongoDB, Apache Hadoop, Apache Cassandra) Data Extraction Tools (Content Grabber, OctoParse) Data Cleaning Tools (OpenRefine, DataCleaner) Data Analysis Tools (Tableau, Python, Orange)

  9. Tools Used in Computer Science 2 Linux Commands Text Editor Excel Powershell PowerPoint

  10. Tools Used in Data Analytics 3 RapidMiner KNIME Heap TypeForm Amazon RedShift

  11. Salary Trends Data Science The average annual salary of a data scientist is $96,491 in the US. 1 Computer Science $72,173 is the average annual salary of computer science graduates in the US. 2 Data Analytics The average base salary of a data analyst is $72,945 in the US. 3

  12. Read the full article https://www.greycampus.com/blog/data-science/data-science-vs-computer-science-vs-data-analytics

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