How to Manage Your Data Science Project
4 steps for managing a data science project
4 min readJun 7, 2022
About the Author
Benjamin O. Tayo is a data science educator, tutor, coach, mentor, and consultant. Contact me for more information about our services and pricing: benjaminobi@gmail.com
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INTRODUCTION
Key takeaways
- Executing a data science project requires good planning
- Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution
Benjamin Franklin once said: “By failing to prepare, you are preparing to fail.”
This article will discuss the four steps for managing a data science project: Plan, Prepare, Produce, and Publish.
Plan: Before building any machine learning model, it is important to sit down carefully and plan what you want your model to…