Data Science OR Data Analytics


Data science and data analysis are two different fields. There are various differences between them. On the other hand, there are various similarities between these two as well. 

As a result, in this blog, we will go over everything there is to know about data science and data analysis.

What is Data Analytics

Data analytics has been around for more than 30 years, which may or may not surprise you. It all started with the launch of Microsoft Excel. Before this launch, data analytics was all about manual exercises. All analytics-related work was done using calculators and the trial-and-error method. As a result, it is not incorrect to say that the release of Microsoft Excel was a catalyst for the field of data analytics.

What is Data Science

It is very clear from the above paragraph that MS Excel kicked off the business analytics field. Similarly, there were two major trends that contributed to the start of data science. The first was technology in general. And second was the Internet, in particular. Both of these trends led to an unpredictable data science boom.

No doubt, innovation in new technologies has made it very easy to analyze and interpret vast amounts of data. Due to this, companies are now able to make many impactful and meaningful decisions.

The Internet, on the other hand, has provided endless amounts of information to companies. The Internet has undoubtedly contributed to helping companies make massive decisions by using exponential information.

Differences between a Data Scientist and a Data Analyst

Basis Data Scientist Data Analyst
Definition A professional who designs various data modelling processes for creating algorithms and predictive models is known as a “data scientist.” He then conducts a custom analysis.A professional who manipulates large data sets and uses them to identify trends is known as a “data analyst.” He then draws meaningful conclusions to guide strategic business decisions.
Skills Possessed A data scientist should possess various technical skills, like machine learning, and statistical analysis. A data analyst should possess a combination of various technical skills, including knowledge of database languages like SQL, spreadsheet tools like Excel, and data visualization software Power BI and Tableau.
Job Responsibilities 
  • Gather large sets of structured and unstructured data from various sources
  • Perform ad-hoc data mining 
  • Work with various statistical methods and data visualization techniques
  • Design and evaluate advanced statistical models from vast volumes of data
  • Use different algorithms and inbuilt libraries to build various artificial intelligence models
  • Generate actionable insights by using machine-learning tools
  • Gather data from various database sources and warehouses
  • Filter and clean the gathered data
  • Work on writing complex SQL queries and scripts
  • Collect, store, manipulate, and retrieve data from RDBMS such as MySQL, etc.
  • Use different Excel and BI tools to create charts and graphs and further format reports on their basis
  • Analyze complex data sets to spot trends and patterns
Average salary in IndiaIn India, the average salary of a data scientist is around rupees 75,000 per month, which is rupees 9,00,000 per annum.In India, the average salary of a data analyst is around rupees 50,000 per month which is rupees 6,00,000 per annum.
Average salary in the USIn the United States, the average salary of a data scientist is around $8500 per month, which is $1,00,000 per annum.In the United States, the average salary of a data analyst is about $6000 per month, which is $72,000 per annum.

Similarities between a Data Scientist and a Data Analyst

Basis Similarity
Basic ResponsibilitiesBoth data scientists and data analysts are subjected to gathering and analyzing data and converting it into actionable insights. However, the purpose behind this is different.
Educational QualificationOne does not need any particular qualification to become a data scientist or even a data analyst. Anyone with a degree in a relevant field related to data science or data analysis can work in either of these fields. For example, a person with a degree in engineering in computer science, information technology, or mechanical or electrical engineering can pursue the job of a data scientist or a data analyst.
Soft SkillsBoth data scientists and data analysts should possess various soft skills, including the following ones:
  • Business intuition
  • Critical thinking
  • Analytical thinking
  • Inquisitiveness
  • Communication and interpersonal skills


This was all about data analytics and data science. Despite having two different job titles, they share many similarities as well.

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A learner, dreamer, and passionate about modern tools and technology like Excel 365, Power BI, SQL, HR Analytics, Six Sigma, WordPress and Visuals to name a few. Total Experience 15+ years including more than a decade of experience in S&P Global and ongoing 4+ years of experience with fast-growing startups & few MNCs. Clients served: Startups, MSMEs to a few of the Big 4 Consulting firms. Trained more than 2500 professionals in the last 4 years on various skills (Analytics, Content, WordPress, Finance, Entrepreneurship, etc). Last but the most important - mother of an awesome kid!


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