10 Skills You Need to Become a Data Scientist


The technical and non-technical capabilities that are valued among data science professionals. 


What is data science?


Data science is the study that addresses the handling of large volumes of information, with the main purpose of discovering patterns and extracting value.


This discipline (which you'll also find under its English name, data science) combines skills from different fields, including scientific methods, statistics, analysis and artificial intelligence (AI) through machine learning models.


Data scientists use an assortment of competencies to analyze information and generate practical knowledge.


Through the collection, analysis, cleaning and aggregation of data, professionals in the area strive to make information a deeply valuable resource for organizations, institutions and companies.


Have you heard it said that “data is the oil of the 21st century”? Although much repeated, this consideration serves to demonstrate the relevance of data science in diverse fields.Why is data science relevant?


As the firm Oracle points out, “companies are sitting on a treasure of data” but “they're often stored in databases and ‘lakes’ that are mostly untouched” which, through technology, could “generate transformative benefits, but only if we know how to interpret them.”


Did you know that 90% of the world's data was created in the last two years? Based on this, when it comes to organizing and analyzing information, it's understood how relevant it is to organize and take advantage of that flow.


In summary, if data is oil, scientists are the engineers who know the secrets for extracting and using the resource. Following the company mentioned above, in data science trends are revealed and information is generated to make better decisions and create more innovative processes.


Data science helps solve “complex problems in both small companies and multinational organizations,” points out the Bloom Institute of Technology.





Data science: what are the necessary skills?


The demand for data science professionals soared as the use of data increased exponentially in almost every field. According to BloomTech, the median salary of a data scientist in the United States exceeds 100,000 dollars (2022 data).


As we've seen, the specialty is multidisciplinary and is also required in diverse sectors. That's why, to be a data scientist successful it's necessary to acquire multiple skills to adapt and progress in this key profession.


Technical skills


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If you'd like to keep exploring this topic, you can also read Power BI vs Tableau: which to choose based on your profile and goals.

Recommended Coderhouse courses

If you want to go deeper into data analysis and applied artificial intelligence, Coderhouse has programs for all levels:

• Data Analytics Course: to learn to analyze data, build dashboards and make decisions based on real information.

• AI Engineering Course: to incorporate AI and machine learning models into your data projects.

• Introduction to Artificial Intelligence Course: to understand the AI ecosystem and complement your data profile with knowledge about language models.