From the course: Data Preparation, Feature Engineering, and Augmentation for AI Models
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From the course: Data Preparation, Feature Engineering, and Augmentation for AI Models
Next steps
- [Instructor] Congratulations on finishing this course. As you think about continuing your education process, I would suggest that you learn about data quality assessment and data engineering. Now, if you'd like a suggestion, the Complete Guide to Generative AI for Data Analysis and Data Science course is ideally suited to help you understand how to perform data quality assessments, how to use generative AI tools to generate code for data quality assessments, and then also, it provides a foundation in statistical principles to help you understand how we do data quality assessments. Now, many of the techniques covered in the Complete Guide to Generative AI for Data Analysis and Data Science are also helpful for building data engineering skills and developing data engineering pipelines. Now, along with that, I would suggest finding other courses in the catalog on data engineering and machine learning engineering with particular attention to building ML engineering pipelines. I'd also…
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