Comparing Data Science with Data Analysis:
Data scientists and data analysts are different in the sense that the data scientist starts by asking the right questions, the data analyst starts with data mining. A data scientist requires considerable expertise and non-technical skills whereas a data analyst does not require these skills.
Data science is a multidisciplinary science and having a data science career means that you need to have multiple domains such as data estimation, working with algorithms, real expertise among other skills. Data science application can spread across many industry industries.
A data scientist's job is to prepare themselves to understand complex behaviors, trends, inference, analytical creativity, time series analysis, segmentation analysis, contingency models, quantitative reasoning, and more.
“A data scientist is better at statistics than any software engineer and is better at software engineering than any statistic.
There is no clear definition of what exactly is involved in the roles and responsibilities of a data scientist. This could include anything from optimizing sales funnels to getting the right strategy for the company to enter the next lucrative international market. So it is a little difficult to try to define the data scientist's work in a simple way. There can be a lot of ambiguity about this.
