Difference Between Data Scientist and Data Analyst

The role of a Data Scientist and a Data Analyst sometimes sounds similar. Both of these job roles are required to work with data but they provide different results. So the difference between both these jobs is based on their skills and responsibilities. But we can say both these roles are equally responsible for an organization as both data science and data analysis are interconnected. In this article, I will take you through the difference between a Data Scientist and a Data Analyst.

Difference Between Data Scientist and Data Analyst

Data Scientist:

A Data Scientist needs to use a particular skill from his set of skills according to the domain he is working on. Here the set of skills means natural language processing, machine learning, deep learning etc. and domain means Engineering, Data Mining, Cloud Computing, etc. So we can say that a Data Scientist is a person who tries to solve a business problem with data by creating models and understanding the actionable insights from the data.

The fundamental skills that you need to become a Data Scientist are:

  1. Maths and Statistics
  2. Programming
  3. Working with Data
  4. Storytelling
  5. Machine Learning Algorithms
  6. Business Intelligence
  7. Good knowledge of Business Environment

Data Analyst:

The role of a Data Analyst is to analyze data to understand the hindrances in the growth of a business. A Data Analyst uses his set of skills to ask questions from the data according to the domain he is working on. Here the set of skills includes skills like statistics, Database Management, and the domain means marketing, sales, research, etc. So we can say that a Data Analyst works with data to answer questions like when was the highest sales, which types of customers like to buy their product etc.

The fundamental skills that you need to become a Data Analyst are:

  1. Statistics
  2. Data Visualization
  3. Tableau
  4. Business Intelligence
  5. SQL
  6. Database Management

Also, Read – 200+ Machine Learning Projects Solved and Explained.

Summary

Both Data Scientists and Data Analysts are interconnected to each other as both these professions work with data. A Data Analyst asks questions from data and a Data Scientist build models to solve a particular business problem. I hope you liked this article on the difference between Data Scientist and Data Analyst. 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
Articles: 1126

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