In This video, I have taught how one can find the data and also have given a broad understanding about data, like what it is, what types of it, and resources from which you can get the data
AwesomeData : https://github.com/awesomedata/awesome-public-datasets
Your queries:
How to identify relevant data sources for a specific business question?
How to assess the quality and consistency of data before analysis?
How to explore and visualize data to identify patterns and trends?
How to filter and segment data to focus on specific subsets?
How to use data discovery tools to search, navigate, and analyze data?
How to collaborate with data analysts and domain experts to interpret findings?
How to document the data discovery process and insights for future reference?
Why is data discovery a crucial step in data-driven decision-making?
Why is it important to understand the context and purpose behind data collection?
Why should data quality be a primary concern during data discovery?
How can data visualization tools aid in uncovering hidden patterns within data?
Why is it beneficial to segment data during the discovery process?
Why might traditional data analysis methods be insufficient for large or complex datasets?
How can collaboration between different stakeholders improve the effectiveness of data discovery?
Why is documenting the data discovery process essential for reproducibility and future analysis?
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