Pros And Cons Of Carrer In Data Science : Why To Choose A Career In Data Science?

Do you wonder as to what are Pros And Cons of Data science are? Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured, and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. As for 21 st, century with growing development in technology Data is often quoted as New Gold. Data scientists are increasingly becoming relevant and would soon be in demand due to developments like:

1. Industrial Revolution 4.0.
2. Big Data Analytics
3. Internet of things etc.
4. Machine Learning 

As a result of developments in data science, candidates from engineering and computer science backgrounds can find job opportunities in traditional and non-traditional sectors like banking and insurance, policymaking, Big Data Analytics. Know what are the Career In Data Science After Class 12. In the future, the demand for skilled data scientists is set to increase exponentially. This space will cover the pros and cons of data science so that you are able to make a better choice.

Source: safalta.com

Pros of Data Science

 The advantages of Data Science are as follows:
 
1. It is in demand
 
Data science is in great demand. This is one of the fastest-growing jobs on LinkedIn. It is estimated that 11.5 million jobs will be created in this sector by 2026.
 
2. Abundance of Jobs
 
There are very few people who have the necessary skills to become a complete Data Scientist. It makes data science less saturated as compared to other IT sectors. Therefore, there are a lot of opportunities in Data Science. Professionals in data science are in high demand but their supply is decreasing.
 
3. A High Paying Career
 
Data Science is one of the highest paying jobs. According to Glassdoor, data scientists earn an average of $116,100 per year.
 
4. Data Science is Versatile
 
Data science is widely used in the healthcare, banking, consulting services, and e-commerce industries. So you will get the opportunity to work in different sectors.
 
5. Data Science Makes a Data Better
 
Companies need skilled data scientists to process and analyze their data. They not only analyze the data but also improve its quality.
 
6. No more boring tasks
 
Data science has helped various industries to automate redundant tasks. Companies are using historical data to train machines to perform repetitive tasks.
 
7. Data Science Can Make You a Better Person
 
Data Science will not only give you a great career but will also help you in personal growth. You will be able to have a problem-solving attitude.

Cons Of A Career In Data Science

 
While Data Science is a very lucrative career option, there are also many disadvantages in this field. Some of them are as follows:
 
1. Data Science is a Blurry Term
 
There is no fixed definition of Data Science. It is very difficult to write the exact meaning of a Data Scientist. The specific role of a Data Scientist depends on the area in which the company is specializing.
 
While some have described data science as the fourth paradigm of science, some critics have called it simply a rebranding of statistics.
 
2. Mastering Data Science Is Impossible
 
Being a mixture of many fields, data science is a field derived from statistics, computer science and mathematics. It is not possible to master each area and be equally expert in all of them.
 
While many online syllabus are trying to bridge the skills gap of the data science industry, it is still not possible to be proficient in it given the vastness of the field.
 
It is an ever-changing, dynamic field that requires one to keep learning various methods of data science.
 
3. Large amount of domain knowledge required
 
Another disadvantage of data science is its reliance on domain knowledge. A person with considerable background in statistics and computer science will find it difficult to solve a data science problem without his background knowledge.
 
For example, those working on the analysis of genomic sequences will need a suitable staff with some knowledge of genetics and molecular biology.
 
4. Arbitrary Data Can Give Unexpected Results
 
A data scientist analyzes the data and makes careful predictions to facilitate the decision making process. At times, the data provided is arbitrary and does not give the expected results.
 
5. Data Privacy Problems
 
The personal data of the client is visible to the parent company and at times security lapses can lead to data leaks. Ethical issues regarding the protection of data-privacy and its use are of concern to many industries.

We hope our analysis of Pros and Cons of data science help you in making a better choice. 

To know more on Data Science Career Read here:
 Career In Data Science As A Fresher: How To Start Career In Data Science?
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