A42 Academy

Agile Project Management for Data Science

Audience:

This course is best suitable for professionals with some project management experience, who may be new to data science, and want to learn more about agile and creative project solutions.

Prerequisite(s):

  • An understanding of basic project management.
  • Some knowledge of data science is a plus.

Duration:

2 hours

Outcomes:

In this course, participants will learn:

  • Key elements of agile overall
  • The process of data science projects and key roles
  • Key elements of agile methods for data science projects
  • How to create a Trello Kanban Board
  • Some general project management core concepts
  • The high-level workflow of the Agile CRISP-DM
  • The Problem Definition project management duties of the Agile CRISP-DM
  • How to create a Project Charter
  • How to create a Project Workbook
  • The Data Preparation, Modeling, Evaluation, and Deployment project management duties of the Agile CRISP-DM
  • How to create a Weekly PM Report
  • How to create an Exit Report
  • Share this course!

Lida Peat

Project Manager @ A42 Labs

Lida is an A42 Labs project manager with an extensive background in the tech industry. At A42 she is researching and refining traditional project management methodologies in addition to developing new and innovative approaches where gaps are found.

Her experience and education have instilled a solution-focused mindset. Lida is a team player that takes initiative to ensure that the organization’s goals are met or exceeded in an efficient manner. Her strongly developed skill set includes: organization, communication, time management, problem-solving and multi-tasking.