Data Analytics vs. Data Science – Which is the right career field?

Data Analytics vs. Data Science – Which is the right career field?

Data Science v/s Data Analytics
Online learning

Data Analytics vs. Data Science – Which is the right career field?

Everything we do online contributes to data generation. Then be it texts, tweets, social media chit-chat, Internet of Things (IoT) usage, or emails and searches on search engines. On a daily basis, the digital world produces a great amount of data. And not just that! Data is very much complex. So much so that an outdated version of the technology is futile. Welcome Data Science and Data Analytics. Both these terms are used interchangeably. However, they share a striking difference. Hence Data Science v/s Data Analytics.

Table of Content:

  • What is Data Science
  • What is Data Analytics
  • Roles of Data Scientists and Data Analysts
  • Data Science and Data Analytics as a Career
  • Data Science v/s Data Analytics: Which one is better for you?
  • Conclusion

Explaining Data Science:

Data Science is a multidisciplinary field. It encompasses Mathematics, Information Science, Computer Science, Machine Learning, Statistics, and Artificial Intelligence. As a matter of fact, Data Analytics is a part of the vast Data Science. The key role of data scientists is to draw out useful information from complex data. Further, maneuver that piece of extraction for effective business plans. They handle data mining in an effort to crop up new strategies that can fuel business growth and visibility. Data Science empowers scientists to set up a link between the massive volume of datasets on a whole.

Explaining Data Analytics:

Data Analytics focuses on statistics, Statistical Analysis, and Mathematics. Where Data Science finds data correlation, Data Analytics seeps into the roots to discover its details as well as specialty. Besides, Data Analysts seek to analyze the business strategies that the data scientists come up with. It is their core duty to conceptualize and create a doable plan to encourage data-oriented operations within the organization. 

Roles of Data Scientists and Data Analysts

Data Scientists and Data Analysts both use data to a large extent. Their roles overlap as well as are distinct.

Data Scientists use their knowledge and skills to clean, process, and decipher big data. Next, they build an intense data model for the data analysts to play with.

Data Analysts scan and survey the work of data scientists to pick out relevant schemes. They also scrutinize to draw conclusions. Post analysis, data analysts use tools of visualization, like charts and graphs, for the pictorial presentation of their findings. They make it easier for the business people to understand and implement. Also, a person from a non-technical field too can grasp the graphics with ease. That is the marker of an excellent analyst.

To conclude, both are vital for data-driven change and innovation.

Data Science and Data Analytics as a Career

If you are one of them wanting to pursue either data science or data analytics as a career, let us tell you that the route is pretty similar. You must garner a strong foundation in the fields of Computer Science, Information Technology, mathematics, and/or statistics. MBA in Information Technology by Lincoln University of Business and Management can be one of the stepping stones for you. In addition to the technical face, you will read and learn more about the business world. While you grasp information about science and engineering, you also understand various disciplines of business and management. You will be eligible to be a manager.

Data Science v/s Data Analytics: Which one is better for you?

To put it in simple words, the role of a data scientist is much more high-tech and applied. Additionally, you need to be excellent at mathematics. A strong mathematical intellect is a plus.
Whereas data analysts chase an analytical view. Their statistical foundation should be sound. 

Are you struggling to make a choice between the two professions? Allow your passion, interest, and career goals to be your guide. 

Final Words:

Either as a data scientist or a data analyst, data will be your best friend. Your career graph will be constantly scaling up. Make a choice today and get started! To know more about our MBA in Information Technology program, book a FREE Demo Class or get in touch with our team


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