Data Science

How Data Acquisition is done?

How Data Acquisition is done?

Data Acquisition is the process of collecting the data for analysis. It is usually categorized as data collection process. There are different categories of data acquisition methodologies, but the key methods include:

Direct method

  • Traditional survey methods(e.g., telephone interview)
  • Mechanical punching(e.g., using a mouse, keyboard or other input device
  • Electronic monitoring (e.g., via sensors)
  • Questionnaire responses(e.g., via mail, telephone etc.) –video collection
  • Automated data entry (e.g., via computer)- data extraction from raw data

There are different types of data acquired by various methods. The types of data that can be collected include: Human behaviour statistics (e.g., interviewees’ demographics, interests, etc.), Business statistics (e.g., financial records), social statistics (e.g. social network data), Financial figures or other assets (e.g., sales data) etc. Amount of data varies on the methods and on the goals and objectives of the project.

There is no one standard method to acquire data, as different methods provide different types of results. Therefore, it is important to choose a suitable data acquisition system for each project depending on what kind of information is needed for analysis and presentation purposes.

There are different factors that affect the choice of data acquisition method, including the necessary level of quality and the amount of time required to process them. Different data acquisition methods have different benefits, but they all have the capability to be inefficient due to specific factors. There are different factors that affect the choice of data acquisition method, including:

  • Budget , Time frame , Confidentiality concerns , Accuracy concerns, Amount of data involved, Size or type of venue or location in which study is to take place
  • Sample sizes required for the study
  • Subject behaviours to be observed

Data Science training in Kerala helps to get started with various datasets and provide a great way to practice what we have learned. But nothing is complete without practice and guidance. Choose the right Data Science training in Kochi to start your career as Data Scientist.

Author: STEPS

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