Data Science vs. Cloud Computing – Which is Better?

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As people approach their first college, many are faced with the urgent decision of selecting the correct stream – one that will allow them to follow the job of their choice and that is compatible with their aptitudes. They are often confused by the various choices and viewpoints, though, and try to introspect themselves with respect to each field. Though there are many promising areas to start a career, the two fields that garner the attention of many aspiring graduates are data science and cloud computing. If you want to construct a well-crafted career, you need to go beyond the popular stereotypes and choose the one that best matches your career interests.

No wonder data science and cloud computing are trending career fields; both of them offer a variety of job roles, high-paying salaries, and bright career growth prospects. Learning about any of these subjects has also become easier with online training courses. Even if you don’t have a related background, you can opt for cloud computing online bootcamps or data science certification courses online to learn the subjects from scratch and gain job-ready skills. Now, if you are in a dilemma as to whether a career in data science or in cloud computing is good for you, then this article is for you. We have discussed the top factors that will lead you to the right decision based on your skills and preferences.

A Career in Data Science

Data science is a multidisciplinary field that involves the transformation of raw data into meaningful insights so as to make more informed business decisions. It encompasses fields like statistics, mathematics, machine learning, computer science, and business intelligence and applies knowledge from data across a broad range of application domains. The most popular job role associated with this field is that of a data scientist. In fact, it was termed the sexiest job of the 21st century by the Harvard Business Review. Next in line are important roles like data analyst, data engineer, data architect, machine learning engineer, and so on.

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You will be surprised to know that data scientists are one of the most in-demand professionals across the world and command lucrative salary packages. Popular tech firms like Facebook, Google, Amazon, Microsoft, IBM, Accenture, and Oracle, among others, hire data scientists for their innovative projects. Here are the salary figures for the top data professionals in the US (source: Payscale).

  • Data scientists earn an average annual salary of $97,680.
  • Data analysts earn a median salary of $63,442 per year.
  • Data science managers draw a total compensation of $139,595 on average per year.
  • Data engineers earn an average annual salary of $93,637.

As you can see, the salaries for all data-related job roles are quite high. So, now is the right time to seriously consider starting a career in data science.

A Career in Cloud Computing

Cloud computing has been in existence for quite some time now. However, it was Amazon that became the reason why a large number of companies across the world have embraced cloud computing. Amazon introduced its subsidiary Amazon Web Services (AWS), a first of its kind cloud services provider that offered computing services over the internet. Since then, there has been no looking back, and we now see platforms like Microsoft Azure and Google Cloud Platform (GCP) also leading to the adoption of cloud computing on a large scale. Some of the popular job roles in this field are cloud administrator, cloud developer, cloud architect, cloud security analyst, and cloud engineer.

You will be glad to know that there are role-based certifications offered by all three popular cloud platforms—AWS, Azure, and GCP—to help professionals demonstrate their cloud skills. In fact, the AWS Certified Solutions Architect Associate is one of the highest-paying IT certifications of all time. Here are the salary figures for the top cloud professionals in the US (source:

  • Cloud administrator earns an average annual salary of $71,360.
  • Cloud security analyst earns a median salary of $85,446 per year.
  • Cloud automation engineer earns an average salary of $109,454 per annum.
  • Cloud consultant earns an average salary of $114,744 per year.
  • Cloud architect commands a compensation of $135,580 on average per year.
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Make the Right Choice

As you can see, both fields seem to have bright career prospects, and their popularity is only going to increase in the future. The salaries are also comparable, and any one field cannot be termed superior to the other. You can make the right choice by understanding where your interests lie. If you love experimenting with data, have an analytical mindset, problem-solving skills, and find it interesting to uncover hidden trends and patterns, then data science is the career for you. On the other hand, if you have the willingness to learn, strong interpersonal communication skills, negotiating skills, and more directed towards developing cloud-ready applications, then cloud computing is suitable for you.

Finally, it is your turn to do the research and identify what skills are required to succeed in a career in data science and cloud computing. Choose the right stream based on your preferences and start learning the subject from scratch. A reliable online training course can help you do so.

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