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Learn some best practices and tips for data quality and cleaning in the era of big data and AI. Improve your data research skills and insights.
Learn and update your data quality and cleaning skills with these tips and resources. Find out how to improve your data accuracy, consistency, and relevance.
Learn how to engage, consult, align, document, train, and collaborate with data users and producers in the data standards definition and implementation process.
Learn how to design and test your data collection methods and tools for your data research projects. Avoid bias and errors with these best practices and tips.
Learn about the key aspects of data analysis and reporting skills in the context of data research, such as data quality, ethics, collaboration, feedback…
Learn about the tools and techniques for data encryption and decryption in data research, such as symmetric and asymmetric encryption, OpenSSL, GnuPG, Crypto, brute…
Learn how to design and conduct a data research project remotely or online, following six steps that cover data sources, methods, collection, analysis…
Learn how to store and manage your scraped data from the web with best practices and tools for data format, database, and data pipeline.