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KnowledgeCity

What is Data Collection?

Large volumes of data are constantly being generated around us from many different sources whether we realize it or not. To properly leverage data for your…
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Course: On-Demand
Beginner Provider Bernie Kuan  5 Lessons ·  22m  in English 

Course Description

Large volumes of data are constantly being generated around us from many different sources whether we realize it or not. To properly leverage data for your goals, the data collection process is critical. There are many techniques to capturing data, but before that, we must first be able to identify the different sources of data you can collect it from.

What You'll Learn

  • Recognize the importance of data collection and the role it plays in leveraging data for your goals
  • Identify the different sources from which data can be collected
  • Distinguish between primary, secondary, and third-party data
  • Evaluate the benefits and drawbacks of primary, secondary, and third-party data
  • Trace how data moves through the data lifecycle

Key Takeaways

  • Large volumes of data are constantly generated around us from many different sources, whether we realize it or not.
  • The data collection process is critical to properly leveraging data for your goals.
  • Before applying techniques to capture data, you must first identify the different sources you can collect it from.
  • Data can be classified as primary, secondary, or third-party, and each type carries its own benefits and drawbacks.

Frequently Asked Questions

What does this course cover?

It covers the importance of data collection, the data lifecycle, identifying data sources, and collecting primary, secondary, and third-party data.

What is the difference between primary, secondary, and third-party data in this course?

The course teaches you to determine the differences between primary, secondary, and third-party data and to understand the benefits and drawbacks of each.

What skills will I gain from this course?

You will build skills in data capture, data collection, data profiling, data selection, working with source data, and survey data collection.

How is the course structured?

The course is organized into lessons covering The Need to Collect Data, The Data Lifecycle, Collecting Primary Data, Collecting Secondary Data, and Collecting Third-party Data.