Data Science Definition

This is an article about the definition of data science.

hello!

Today we will learn about the definition of data science.

Data science is an academic field that extracts useful insights from data and uses them for decision-making. It analyzes and interprets data by comprehensively utilizing statistics, machine learning, computer science, and business knowledge.

Data science focuses on collecting, processing, and analyzing data to solve data-based problems and make predictions, and interpreting the results to utilize them in business.

Components of Data Science

Mathematics and Statistics

It is a fundamental element of data science and is based on statistical techniques and mathematical theories for data analysis, modeling, and prediction.

Computer Science

Knowledge and skills in programming languages, databases, distributed systems, and algorithms to handle data are required.

Data Engineering

Data engineering techniques and methodologies are needed to collect, store, and process large-scale data.

Business Knowledge

In order to utilize the analyzed data in business decisions, understanding and expertise in the relevant domain are required.

Visualization and Interpretation

You will need visualization and analytical skills to visually represent and interpret data to support business decisions.

Machine learning and artificial intelligence

Knowledge and understanding of machine learning and deep learning algorithms, which are technologies that learn and predict patterns from data, are required.

Conclusion

As above, data science is used to solve business problems and create value by comprehensively utilizing knowledge and technology from these various fields to analyze data and use it for decision making.

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