7 Useful Things You Need To Know About Computer Scientist vs Data Scientist

Difference Between Computer Scientist and Data Scientist

Computer Science has been an age-old traditional branch of engineering which deals with theory, experimentation that forms the basis for design and use of computers. It is a practical and a scientific approach to computing involving the systematic study of algorithms, processing, communication, storage, etc. It’s a science and technique of problem-solving. Computer scientists thus must be adept at analyzing and modeling the problems. They have a wide range of specialties such as being proficient in understanding architectures, software systems, artificial intelligence, computational science, graphics and software engineering. He is also expected to have a firm foundation in the crucial areas and in-depth knowledge in one or more areas of the discipline.

Data scientists, on the other hand, are expected to know various scientific methods, algorithms, and processes to extract knowledge and information from data in various forms which can be either structured or unstructured. This concept is quite similar to data mining which uses meta keywords to extract the relevant information. As data science is known to be a concept of unifying statistics, machine learning, data analytics and their related methods, data scientists are expected to derive and generate meaningful data from the already processed data in order to provide the businesses with future insights, risk predictions and ways of risk mitigation. Let us understand more about Difference Between Computer Scientist and Data Scientist in detail.

Head To Head Comparision Between Computer Scientist vs Data Scientist (Infographics)

Below is the Top 7 Comparision Between Computer Scientist vs Data Scientist

Key differences between Computer Scientist vs Data Scientist

Following is the Difference Between Computer Scientist and Data Scientist are as follows

1. A computer scientist aims to simplify the problems and classify it into smaller chunks whereas a data scientist will tackle the problems from a business standpoint and will deep dive into the data analytics lifecycle.
2. A computer scientist then uses classification algorithm and improves it to meet the problem statement which can be done by devising a new architecture or playing with regularization methods whereas a data scientist uses techniques like cleaning dataset, normalizing, impute missing, statistical testing, cross-validation, fitting models, etc.
3. A computer scientist applies the concepts of computation, computer design and algorithms to a specific design problem whereas a data scientist applies the ones emerging from machine learning, classification, uncertainty classification, cluster analysis, computational science, databases, data mining, data visualization, statistics, mathematics, information science and also computer science.

Computer Scientist vs Data Scientist Comparision Table

Conclusion – Computer Scientist vs Data Scientist

Both these Difference Between Computer Scientist and Data Scientist streams have their own set of roles and responsibilities to be taken care of and they both are aimed at making the world a better place. If you are looking to pursue careers in any of these, now you know which one to choose.
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