13 Important Skills for Data Scientist

Azzahrah Olinda Nurva, Mahasiswa Entrepreneurship UNP

What I got after reading the article "14 Important Skills for Data Scientists" from volume 18 of Rintisan magazine.

In this era full of technology, of course, data is the most important asset in an organization and various other operational aspects. Therefore, it requires the ability to analyze or process data so that it becomes something valuable. Data Scientist skills are the most needed thing today. Data scientist is an ability where someone can uncover large amounts of information and insights from structured data. This ability can help us get answers to various questions and make the right predictions.

To become a data scientist is certainly not easy, in this article let's discuss 13 skills that you need to hone to become an expert data scientist.

1.            Statistics

Statistics is an ability that must be mastered by a data scientist because this ability can facilitate his work in collecting, interpreting, and presenting data.

2.            Multivariable Calculus and Linear Algebra

For a data scientist, the ability in mathematical concepts can optimize their work so that they can match the model to the data set.

3.            Predictive Modeling

Predictive modeling is the ability to use data to predict future events and outcomes, with applications in customer analysis, equipment maintenance, and medical diagnosis.