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Discover the power of A/B testing, a dynamic method for refining strategies and enhancing user experiences. Online Experimentation And A/B Testing offers a deep dive into this invaluable technique. From...
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8 Lessons
Free
Data import and export are processes that involve transferring data between different systems or formats. Data import is the process of bringing data into a data analysis tool or platform...
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18 Lessons
Free
Data manipulation refers to the process of transforming raw data into a format that is more suitable for analysis and modeling. The goal of data manipulation is to clean, organize,...
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33 Lessons
Free
Data normalization and scaling are techniques used to adjust the values of a dataset so that they are on a similar scale and have the same properties. This is important...
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15 Lessons
Free
Data scraping refers to the process of extracting data from websites or other sources using automated tools or scripts. The scraped data can then be analyzed and used for various...
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11 Lessons
Free
Data analysis is the process of systematically examining and interpreting data to conclude, identify patterns, and make decisions. Data analysts work with large and complex datasets, and use a variety...
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11 Lessons
Free
Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves verifying that data meets certain criteria, such as data type, value range, and formatting...
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26 Lessons
Free
Data enrichment is the process of enhancing, refining, and improving raw data by adding more information to it from external sources. This can include adding additional fields, filling in missing...
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15 Lessons
Free
Course Categories
- Data Science Bootcamp (15)
- Large Language Models (14)
- Python Essentials Series (22)