Day 21 - Project Management

Spring 2023

Smith College

Overview

To introduce the most common data science project tools and workflows.

The tools and methods I’ll cover today are ubiquitous in data science.

However, I am aware they are a bit excessive for the scale of our project.

The goal is to learn how these systems work so you are prepared to use them for real.

Timelines: What are the milestones? When does each component of the project need to be finished to complete everything on time?

Responsibility: Who is in charge of completing a task in accordance to the timeline?

Accountability: How are the individuals assigned to tasks being held accountable? What happens if milestones are missed?

Collaboration: What tools and methods are used to work together? How can the systems make this easier rather than harder?

Standup meetings are one of the key accountability mechanisms in the Agile methodology.

They are frequent, short meetings to keep everyone updated and provide a space to share knowledge.

While not required, I encourage you to try them, or think carefully about some other similar mechanism in your projects.

Standups are typically time-bound and in person

“Sprints” are pre-defined work periods with built in review mechanisms.

Each sprint includes:

And loop

Finals Work Time 1