Data Analyst vs Data Scientist
What Does a Data Analyst Do?
What Does a Data Scientist Do?
Differences and Similarities Between Data Analyst and Data Scientist
Data Analyst vs. Data Scientist: Education and Work Experience
Data Analyst vs. Data Scientist: Roles and Responsibilities
Data Analyst vs. Data Scientist: Skill Comparison
Data Analyst vs. Data Scientist: Job Outlook
Data Analytics vs. Data Science: How the Two Careers Are Different
Other Related Careers
Data Analyst vs Data Scientist FAQ
The best degree for you depends on your personal and professional goals. If you’re interested in data processing and statistical modeling, a degree in data analytics may be right for you. If you’re interested in machine learning or big data, you may want to pursue a degree in data science.
There is some overlap between the role of a data analyst and a data scientist which may help a data analyst transition into a data scientist. Everyone’s path is different, but a common step is typically gaining relevant data science skills and continuing education.
Common skills used by both data analysts and data scientists may include data mining, data warehousing, math, statistics and data visualization. Depending on their role in an organization, some data analysts may use programming languages such as R or Python.
According to O*NET Online, data scientists earned a median salary of $98,230 in 2020. The Bureau of Labor Statistics and O*NET do not currently report on data analyst salaries. For comparison, the median salary for a related role such as a financial analyst was $83,660 in 2020.