Data Science vs. Data Analytics: What is the Difference? Data science and data analytics are reliable choices for long-term career potential. Technology and AI will continue to be a significant part of our personal and professional lives with each year.
It is worth noting that data science and data analytics do have a great deal of overlap. But, they are quite different roles. Let’s look at the differences between these two disciplines and their careers.
Differences Between Data Science vs. Data Analytics
In simplest terms, comparing data science and data analytics is about reaching the general to the specific. As a data scientist your focus will be to drive innovation by investigating questions that need to be answered. Also, you will likely consider the questions that need to be answered. And then building connections to facilitate answering them.
Data Science:
- Focuses on machine learning and predictive modeling
- Is multi-disciplinary
- Requires experience in programming languages, data visualization tools, and databases, such as Python, Scala, Tableau, and MongoDB.
Conversly, analytics is more specific and concentrated. Data analytics focuses on viewing and interpreting historical data in context. As well as checking hypotheses, and answering data science questions for better decision-making in business.
Data Analytics:
- Require strong skills in statistics, modeling, databases, and problem-solving
- Ability to slice and dice data in programs such as Excel and SQL database
- Knowledge of Python, SAS, and other statistical tools
Job Roles
Data science job roles process, cleanse, and verify data, glean business insights, and identify new data trends to make future predictions. BI engineers, business analysts, IT application engineers, architects, and data analysts are all job roles involving data science.
Additionally, data analysts focus mainly on the analysis of data, cleansing data, using statistical tools to discover new patterns in the data. And developing KPIs and visualizations based on those patterns. Data analytics jobs include:
- Database administrators
- Data warehousing professionals
- QA engineers
- Various roles in sales, marketing, finance, and operations where data needs to be processed and used to create dashboards, reports, and visualizations
Conclusion
Data science and data analysis are the most in-demand jobs today. Pursue a career in either if you enjoy technology, love challenges, and are creative.
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