Decision analysis a term that usually refers to a particular branch of mathematics including use of Bayes Theorem. A data scientist can use decision analysis or not.
Thanks a lot Dennis Mazur but I found several answers like data scientist is a person who is responsible to do a data analysis with forcasting methods and other models like neural network...etc.
Also, can we consider the analysis of big data as a data analysis ? and what are the different software that can allow us to use it ?
Thus, we may find many ambiguities answers that is why I' am asking for a more precise response
The difference between data analysis and data scientist :
The job role of a data scientist strong business acumen and data visualization skills to converts the insight into a business story whereas a data analyst is not expected to possess business acumen and advanced data visualization skills.
Data scientist explores and examines data from multiple disconnected sources whereas a data analyst usually looks at data from a single source like the CRM system.
A data analyst will solve the questions given by the business while a data scientist will formulate questions whose solutions are likely to benefit the business.
In many scenarios, data analysts are not expected have hands-on machine learning experience or build statistical models but the core responsibility of a data scientist is to build statistical models and be well-versed with machine learning.
Data analysts are masters in SQL and use regular expression to slice and dice the data. With some level of scientific curiosity data analysts can tell a story from data. A data scientist on the other hand possess all the skills of a data analysts with strong foundation in modelling, analytics, math, statistics and computer science.