## Question:

I was reading about data analysis and I had a question about the concept *of data science and data* *analysis* . I can't see the difference between the two terms, they both look the same to me.

# Doubt

What is the relationship between data science and data analysis? Are there differences? Are they independent of each other?

## Answer:

Although the knowledge needed and tools used by both are very similar (statistics, math, programming and business knowledge), they are not the same thing.

**Data analysis** is processing data to perform analysis (usually statistical) to validate hypotheses, draw conclusions, and aid decision making. Generally speaking, the steps to carry out an analysis are:

- Understand what is the question to be answered by the analysis, that is, what one wants to know with that analysis.
- Understand your data and establish your assumptions.
- Raise hypotheses.
- Validate the hypotheses raised
- Drawing conclusions

An example is to analyze the sale of a product and see which type of marketing approach is most effective.

**Data science** "aims at extracting knowledge, detecting patterns and/or gaining insights for possible decision making". For this, capturing, storing and processing (whether through analysis or developing models) data are possible stages of a project. That is, data science encompasses data analysis.

**Bibliography:**

https://pt.wikipedia.org/wiki/An%C3%A1lise_de_dados

https://pt.wikipedia.org/wiki/Ci%C3%AAncia_de_dados

http://datascienceacademy.com.br/blog/qual-a-diferenca-entre-o-analista-de-bi-eo-cientista-de-dados/

https://fia.com.br/blog/ciencia-de-dados-data-science/

https://www.fm2s.com.br/analise-de-dados-como-estruturar/