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Storytelling with data is the art of effectively communicating insights and narratives using visualizations and data. It involves transforming complex data into compelling stories that resonate with audiences, driving understanding...
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7 Lessons
Free
Data exploration, visualization, and feature engineering is a fundamental stage in the data science process where raw data is analyzed to gain insights, patterns, and relationships. Through techniques such as...
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10 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 transformation is a process of modifying and converting raw data into a clean, structured, and organized format that is ready for further analysis and modeling. This process can involve...
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25 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