Technical Skills that Every Data Scientist Should Have

Due to the intensive use of data in decision making, every business today needs a team of talented data science professionals. There are certain technical skills you need to become a Data Scientist. So in this article, I’m going to introduce you to some of the most important technical skills that every data scientist should have.

Technical Skills that Every Data Scientist Should Have

Technical skills are the set of skills needed to perform a particular job. There are some very important technical skills that every data scientist should have because without these skills a data scientist might not be able to do the required job. So here are the most important technical skills that every data scientist should have.

Ability to Prepare Data:

A Data Scientist must have the ability to prepare data according to their needs to make sense of data. The data can be in any form like text data, images or maybe sound. A data scientist should be able to work with all types of data, whether it is structured or unstructured.

Ability to Analyze Data:

It does not matter what tools or technologies you use to analyze data, you can either use data visualisation libraries like matplotlib, seaborn and plotly or you can also use self-service analysis platforms like Tableau and Power BI or any other tools and technologies that you may have heard of. In the end, you should be able to add value to your company with your discovered insights.

Ability to Code:

Coding is one of the technical skills required in most jobs in the IT and R&D department of a company. As a data scientist, you should be able to analyze data and train machine learning models on your data. Undoubtedly, Coding is one of the most important technical skills that every data scientist should possess.

Ability to Train and Deploy Models:

As a Data Scientist, you can add value to an organization in two main ways:

  1. One way is to discover insights that can be used in decision making for the future.
  2. The other way is to build machine learning models that can enhance the value of services provided by your company.

So training and deploying machine learning models are also very important technical skills that all data scientists should have.

Also, Read – Soft Skills That Every Data Scientist Should Have.

Summary

Technical skills are the set of skills needed to perform a particular job. Here are the most important technical skills that all data scientists should have:

  1. Ability to prepare data
  2. Ability to analyze data
  3. Ability to code
  4. Ability to train and deploy machine learning models

So I hope you liked this article on the most important technical skills that all data scientists should have. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal

Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder

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