Difference Between Data Science and Data Analytics

In today’s world, Data Analytics and Data Science are two words that are on everyone’s lips. And rightly so! – They are the need of the hour and this century. Data is something that every business runs on. Every business requires some kind of data for its initiation, survival, and expansion. Procuring lumps of data is not hard but extracting relevant information from it for business insights is. Collated raw data, analyzing and churning out the meaning from it – that is the role of a Data Analyst or a Data Scientist. Hence, making these two the most popular job roles in the world at the moment, and also two of the most in-demand and high-paying jobs. As per the World Economic Forum Future of Jobs Report 2020, these roles were ranked number one for increasing demand across industries.

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Whether to choose Data Analytics or Data Science?

Many students and new professionals, like yourself, start their career in this field but get confused after a certain point when it comes to choosing a particular domain: be it for studying a masters in abroad or choosing a career path. There is no straight answer to this dilemma. The decision to study a Master’s in Data Science or MS in Data Analysis depends on your:

• Interest
• Career goals
• Skills
• Work experience
• Competencies

In more ways than one, you have to analyze your career aspirations and interests to choose the correct path. Now that is clear, you should know what each of these career paths has to offer. Let us explore Data Analysis and Data Science a bit further to clear your confusion.

Difference between Data Analytics and Data Science

To put it in simple words, the difference between Data Analytics and Data Science is that if we consider Data Science as a home for all the methodologies and tools, then Data Analytics is just a small room in that home. In short, Data Analytics is more specific and concentrated than Data Science. Here are some functional differences between a Data Scientist and a Data Analyst:

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Data Science v/s Date Analysis: Earning Potential

Data Analyst applies their analytical thinking skills to help solve business problems. It is one of the highly sought-after roles and needless to say that it is one of the well-compensated job roles as well. As per the Robert Half Salary Guide 2020, Data Analysts in the US made between USD 83,750 and USD 142,500, depending on years of experience. On the other hand, Data Scientists earned more than Analysts, which was between USD 105,750 and USD 180,250. Data Scientists with a specialization in Big Data Engineering or AI can expect an increased compensation package.

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Data Science v/s Date Analysis: Final Verdict

Choosing one of these is majorly a choice depending on your preference. If you are someone who is mathematically inclined and enjoys the technical aspects of coding and modeling, a Data Science degree might just be your calling. For someone who loves working with numbers, making meaning out of huge chunks of data, churning out insights, and influencing business decisions, they should opt for a degree in Data Analytics.

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