Your First Data Science Project: Planning for success

Nowadays, software development projects are well understood and the frameworks for those projects are well standardised. But as more organisations are seeking success with data science, these project frameworks don’t always fit. The unique challenges of data science mean that a fresh approach to project management is needed. In this session we will discuss the key stages of an effective data science project and explain how to navigate each stage effectively. Starting with problem definition and moving through data collection, exploratory data analysis and algorithm selection, we will unpack what makes these stages important, how to avoid common pitfalls and arrive at success. Using demos, anecdotes and examples, attendees will leave the session with an appreciation of the unique challenges of data science projects and how to plan for success in the future. This session will include technical demos and would be ideal for any budding data scientists looking to plan their future projects!