Engineering Data Analysis is a process of
implementing data analysis process. It is the process of analyzing
the collected data and evaluate to make it reliable and clean data.
It involves data cleaning, data inspection, data transforming
etc..
So the main objectives of this Engineering data analysis is
based on "data".
- For this process, data collection is very important step
because the collected data is used for analyzing process.
- This data is collected from different sources to analyze and it
is used for research. The collected data is analyzed and build into
a model.
- This data collection involves gathering information from
different areas/fields which is used for decision-making
models.
- The data collection is very important step because in data
analysis process, the data which is information-rich is
required.
- The collected data is used for answering research questions,
statistical analysis and evaluate outcomes.
- In Engineering data analysis, the engineers learn to analyze
the data to make it reliable and accurate which is used for giving
solutions to complex problem. Therefore, "Data
collection" is important in Engineering data
analysis.