Advantages and disadvantages of data science
The field of data science is huge and has a reasonable proportion of advantages and disadvantages. So here we will measure the pros and cons of data science. This article will help you assess yourself and take the right course in data science.
a. Advantages of data science
The different advantages of data science are:
1. It is asked
Data science is in great demand. Potential job seekers have numerous options. It is the fastest growing job on Linkedin and is expected to create 11.5 million jobs by 2026. This makes data science a highly employable job sector.
2. Abundance of positions
There are very few people who have the skills to become a full data scientist. This makes data science less saturated than other IT sectors. Therefore, data science is a very extensive area and offers many possibilities. The field of data science is in high demand, but the supply of data scientists is limited.
3. A high-paying career
Data science is one of the highest paid jobs. According to Glassdoor, data scientists earn an average of $ 116,100 a year. This makes data science an extremely lucrative career option.
4. Data science is versatile
There are numerous uses of data science. It is widely used in the healthcare, banking, consulting and e-commerce industries. Data science is a very diverse field. Therefore, you have the opportunity to work in different areas.
5. Data science makes data better
Companies need qualified data scientists to process and analyze their data. They not only analyze the data, but also improve their quality. Therefore, Data Science is concerned with the enrichment and improvement of data for the company.
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