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Data collection methods.

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In this video, we will understand the types and sources of data.

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Identify different methods used to collect data.

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Evaluate data for quality, reliability, and validity.

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Apply ethical practices during data collection and handling.

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Massive streams of data, charts, notes, and numbers.

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Flow together into a single computer where one person organizes it all.

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This is the starting point of understanding how data is collected and managed in ICT.

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First, let's understand types of data.

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Data can be qualitative or quantitative.

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Qualitative data is non-numerical, like customer feedback or interview answers.

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Quantitative data is numerical and measurable, such as monthly sales or temperature.

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Now, where does this data come from?

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These are called data sources.

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Primary sources are gathered directly.

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Through surveys and interviews, secondary sources come from existing databases or research papers.

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And real-time data flows continuously from sensors and IOT devices.

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There are different methods to collect data.

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Surveys and questionnaires help us design effective questions and gather opinions.

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Web scraping lets us extract website data, but it must be done responsibly and ethically.

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APIS and databases provide structured data from online repositories like government portals.

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To ensure data quality, we check for reliability and validity.

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Making sure data is accurate and relevant.

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We must also follow ethical practices, like obtaining consent and protecting privacy.

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So that's all about data collection methods, the foundation of all data analysis.

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Remember, good data leads to good decisions.