Data Science Vs Data Analytics: Know the difference

Data Science Vs Data Analytics: Know the difference

Data Science Vs Data Analytics: Know the difference

With the amount of data that the consumers are generating on a daily basis, companies are finding it difficult to deal with such huge volumes of data. They are actively looking for individuals who can find practical and scalable ways to deal with it, thus bringing lucrative business opportunities. This is why data science and data analytics are so important in today’s digital world. They help companies identify actionable insights and make data-driven business decisions. However, many students often get confused between the terms data science and data analytics. Though there are some similarities, both these roles have some key differences.

So, what distinguishes a data scientist from a data analyst, and what are the similarities and differences between data science and data analytics?

Data Science Vs Data Analytics

What is it?

Data Science

Data science is a blend of various tools, algorithms, and machine learning principles to discover hidden patterns from raw data. It is primarily used for better decision-making, predictive analytics, and pattern discovery. 

Data Analytics

Data analytics is the process of analyzing raw data to find useful trends and insights that solve a specific problem. The main goal of data analytics is to optimize efficiency, improve performance and enable business growth in this increasingly competitive world. 

The key difference between data science and analytics is that while data science focuses on finding meaningful information from a large dataset, data analytics uncovers the specifics of extracted insights. This is the basic difference between data science and data analytics.

Job Description

Data Scientist

The job description is a huge difference when it comes to data science and data analytics. Technically, data scientists are problem solvers who try different approaches to solve a problem. A data scientist works on complex and specific problems to bring non-linear growth to the company. Some daily tasks of a data scientist include:

  • Looking for patterns or trends
  • Pulling, merging, and analyzing data
  • Developing predictive models
  • Building data visualizations

Data analyst

In simple terms, a Data analyst makes sense out of existing data. A data analyst will gather data, organize it and use it to find or identify useful insights for the company. They develop new processes and systems for collecting data and reaching insightful conclusions to improve business. Some daily tasks of a data scientist include:

  • Examining patterns or trends
  • Delivering reports
  • Consolidating data.
  • Collaborating with stakeholders.

Role requirements for beginners

Data Science

  • Proven ability in math, statistics, or computer science.
  • Deep and in-depth quantitative knowledge and problem-solving skills.
  • Ability to code and build models.
  • Ability to process, filter, and present large quantities of data.

Data Analyst

  • Ability to use data analytics software, data visualization software, and data management programs.
  • Strong analytical skills and attention to detail.
  • Ability to deal with competing objectives in a fast-paced environment.
  • Effective communication skills, creativity, and intellectual curiosity.

Read more on the Requirements of a data scientist job

Required Technical Skills

Data science

  • Python or R
  • SQL
  • Jupyter Notebook
  • Algorithms/modelling

Data Analytics

  • SQL
  • Excel
  • Tableau

Read more on Top Trends in Data Science Jobs

Salary in respective fields

Data Science

According to Payscale (, the average salary of a data scientist in India is around 8 Lakhs per annum and it can reach up to 20 lakhs per annum.

Data analytics:

According to Payscale (, the average salary of a data analyst in India is around 4.5 lakhs per annum and can reach up to 10 lakhs per annum.

Read our Guide on How to Learn Data Science

Both data science and data analytics are competitive and rapidly-growing fields that are in demand right now. Once you have a firm understanding of the differences between data analytics and data science, you can start evaluating which path is the right fit for you. As a premier business school in India, Praxis offers a 9-month full-time postgraduate program in Data Science. With our vast experience in business education, we offer students both the time to understand the complex theory and practice of data science concepts and the guidance from knowledgeable faculty who are available on campus for mentoring. We also have a well-structured campus placement program that ensures interview opportunities with the most significant companies in the field. Check course details and placement record of Top ranked Data Science Course in Kolkata and Data Science Course in Bangalore.

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