When Can You Call Yourself a “Data Scientist?”
There are key actions that will establish your credibility.
Data science is a relatively new field with relatively few universally agreed upon definitive certifications. There can be doubt about when it is appropriate to add this title to your resume.
Several organizations have attempted to place a clear designation with credentials in regard to being a “data scientist.”
Whatever your association, if you gain and practice a certain number of skills, and more convincingly if you get hired for the right position, you can feel certain that placing the title on your resume is not a mistake. So what does it take? The answer is as varied and multidisciplinary as the field itself:
You possess a wide variety of coding skills. Popular languages to conduct data science are Python, R and SQL. These are the languages that are in general demand across industries. Python is a popular programming language for data science due to its flexibility, ease of use, and a large number of libraries and packages that make data manipulation, analysis, and visualization more accessible. R is another popular language for data science, especially for statistical analysis and visualization. R is highly extensible and has a large community of users and developers, making it an…
