From the course: Data Science Methodologies: Making Business Sense
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Furthering applications of data science methodologies
From the course: Data Science Methodologies: Making Business Sense
Furthering applications of data science methodologies
- [Neelam] The application of software engineering principles in data science projects is an evolving field. And what is interesting about it is that it is cross-disciplinary, bringing data science, software engineering, and business together. So if you would like to learn more and see some real-world applications of what we covered in this course, I would encourage you to look at these two case studies. The first one is a Harvard Business case study titled "Innovation at Uber, the Launch of Express Pool." It brings forth how a high-level business goal to improve shared rider's profitability is translated into a rapid iterative product development methodology. It demonstrates how data scientists, software engineers, and business managers work in a team to deliver business value. The second case study, which is available in public domain, is once again about software engineering and data scientists coming together to…
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