Data science is a humongous field where jobs are considered to be the sexiest ones in the 21st century, but they have both notable advantages and disadvantages as well. In this article, let’s discuss what they are. When you get a clear idea about both the pros and cons, you can choose the right education or online courses.
Let’s go with the advantages first.
High Demand for Data Scientists
The demand for jobs in this field is very high. At the same time, there are many opportunities available for job seekers. Another feather under the cap is that it has become the fastest-growing job on LinkedIn. Experts predict that this field created close to 12 million jobs by 2026. This means, in the near future, we should not be surprised to see many people choosing data science jobs for their living.
Plenty of positions for Data Science
There is a particular set of skills and proficiencies you should have in order to become a data scientist. But, when compared with the number of opportunities available, very few people are skilled enough. Therefore this specialization is not as saturated as the other IT sectors.
As of now, there are a lot of opportunities available but not enough people to take them over. So, if you are in search of a career option, start searching for the best courses about data science.
Do not underestimate the credibility of this job when it comes to the salaries. Reports claim that data scientists are earning an average amount of $116,100 per year. Hence, it is worthy to spend some bucks on good data science courses, as you can reap out of the knowledge in the future.
These jobs can save lives
Data science has been a reason behind the improvement of the healthcare sector. With the assistance of machine learning now early-stage tumors can be detected. There are many more benefits for healthcare from Data Science.
Let’s head into the disadvantages and the limitations now.
The job role varies from sector to sector
What is the role of a software engineer? It is coding and everything related to software, isn’t it? What about a QA? Quality assurance is his/her job. But, when it comes to Data Science jobs, there is no exact explanation for them all. The JD depends on which niche you are working for.
Mastering the skills is extremely tough
Data Science is derived from multiple subjects such as Statistics, Mathematics, and Computer Science. Imagine trying to master all these subjects with the intention of being an expert in each of those subjects. It is difficult, isn’t it?
There are many courses about data science available and none of them can make you an expert with nothing to learn on the subject. Data Science is changing rapidly and being updated is crucial for survival in the field.
Issue of Data Privacy
Most of the industries out there are data-driven. One role is to assist the companies to make decisions taking this data into consideration. But, this process may breach the customer’s privacy. Data leaks are possible because of the lack of security. So, ensuring data privacy is quite a task and is an ethical issue.
Data Science is a field with multiple advantages. But it does not suggest that there are no cons at all. The industry is ever-evolving and will create millions of jobs in few years. But you should decide whether these pros are captivating enough for you to join this industry. If you feel so, start searching for the best courses about data science available on our partner’s platform and join one. Enhance your skills and get ready for the future.
Would you like to become a freelancer and do different data jobs? If so, DoScouting has jobs for sports data journalists. The sports data journalists are responsible for covering matches for different sports directly from the venues or TV. The job is fun and rewarding but it also requires speed and accuracy. Currently, we are looking for data journalists in many different countries (USA, UK, Australia, Japan, etc.). Don’t wait and apply!