Question

Data science and data analytics difference

Answer 1

Difference Between Data Scientist and Data Analyst. Jobs related to Data Science have topped the charts in job portals. There are job openings for various job titles like Data Scientists, Data Analysts, and Data Engineers. ... And here are the differences I found between a Data Scientist and a Data Analyst.

Answer 2

Answer:

Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data scientist gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets.

Data Analytics can be divided into three broad categories – descriptive analytics, prescriptive analytics and predictive analytics. Descriptive analytics is when you work on a data set and represent the pieces of information you uncover. Predictive analytics is what you can determine or estimate with the historical data. Prescriptive analytics is when you want to correct your expenditure on something.

You need to be able to work on analytics tools and understand the basics of data processing to get started. To learn how to work on analytics tools, join data analytics training course.

https://www.cetpainfotech.com/technology/data-analytics-using-python-training