1- Educational background

Data scientists should have the knowledge and a foundation of major educational requirements such as programming, languages (Python, Perl), statistics, mathematics, deep learning, and so on. It is a foundation for the work you are going to start. Programming has variable languages, and each has its purpose to be distinguished in terms of appropriate usage.

2- Analysis tools knowledge

Tools help data scientists analyze data and get the necessary information needed to serve a purpose. They can be later transformed into clearer data by using graphs and figures.

3-Expand your work to unstructured data

Data derived from different sources is unstructured data. A data scientist should also be skilled at using unstructured data from social media for example.

4- Business Wittedness

Data scientists should have the ability to make quick decisions and find solutions to problems and challenges an organization has.

5- Great communicators

Data scientists are a part of a team in an organization, which entitles them to communicate their findings to their team members. Team members within the company do not have the same level of knowledge as data scientists, so they should find a way to communicate their results simply.

6- A good data hunch

With experience, good data scientists improve their ability to intuitively know where to look deeper for information in a large set of data.

Written by: Farah Barakat