Utilizing Quantitative Data Science Salary Analysis to Predict Job Salaries

The primary goal of this article is to illustrate the differences in salaries among the many fields of data science, which were examined using survey data from the years 2020– 2021. There are many work opportunities in the field of data science. However, a variety of jobs, around 43 different kinds of employments are in the industry. The variations further depend on the skills or software that are increasing their values in the field. The research is based on a data set taken from an open-source - "Kaggle" as well as online survey for various sites. SQL (60%), Excel, R, and Python (90%) are among the technologies remaining at the top of the list. According to recent reports, IT employees in the US are compensated the same salaries as healthcare workers. Some cloud computing services (such as AWS and involve a demand of 40%) have attracted significant attention. The ecommerce department has given the highest hike which is around 15% in the last two years. In fact, women enjoy equal involvement in the field of data science that is around 40% better than other fields, which is also covered in this article. Despite equal involvement, women are paid less than men. To explain more specifically, visualization is the medium which is used as images works more efficiently than words.