Team Lead Course Overview

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Course Benefits

  • Improve actionable insight via better communication with stakeholders
  • Increase your team’s effectiveness via enhanced team coordination
  • Drive process efficiency and the exploration of high value analyses
  • Understand how to avoid (or appropriately address) common project missteps

Who Should Attend

The Data Science Team Lead™ (DSTL) course is for people who want training on how to lead agile data science projects or be an effective process master for a data science team.

In addition to providing an in depth understanding of how to use data science process frameworks, the course also covers common missteps and misunderstandings, so members gain an awareness of the associated symptoms of those missteps. The course also provides prescriptive guidance to avoid having the project go off track from those missteps and misunderstandings.

Our Team Lead course is a month long online course, that is a combination of online learning, and weekly live instruction.

What You Will Learn

The key focus of the course is to understand:

  • Agility within a data science project context
  • Data Science Life Cycle frameworks
  • Data Science collaboration frameworks

How You Will Learn

  • Weekly online modules (that include videos and questions to help you reflect on the discussions)
  • Four weekly 30 minute live mentoring sessions
  • Online review material for the certification exam

Course Objectives

After this course, you will be able to:

  • Describe the key differences between data science projects and software development projects
  • Explain how to use data science life cycle (workflow) frameworks, including the phases and artifacts defined within the CRISP-DM and TDSP frameworks
  • Explain how to use coordination frameworks such as Kanban, Scrum, and Data Driven Scrum within a data science project
  • Explain why agility is important for data science projects and how to achieve agility within the data science team

Course Modules

Need for Improved Process:

  • Benefits of improved team process
  • Why not Software Development processes
  • Workflow and coordination frameworks
Data Science Workflows:

  • Understanding the Data Science Life Cycle
  • Workflow Frameworks (CRISP-DM and TDSP)
  • Iterations (and how to “loop back”)
Data Science Process Frameworks:

  • Planing and Prioritizing tasks
  • Agile frameworks (Scrum, DDS)
  • Lean principles (Kanban)
Agility and Data Science:

  • What is Agile Data Science?
  • The need  for Agility
  • The benefits of Agility

Access the DSPA Community

When you enroll in our Data Science Team Lead™ (DSTL) training, you immediately become a member of our community, which is a dynamic space that:

  • Connects you directly with your peers
  • Enables access to exclusive events
  • Provides a library of curated data science project management related resources (e.g., white papers)

In addition, you will also be able to tap into our community of learners, Data Science Team Leads, and DSPA instructors. This professional network enables you to find answers when you need advice.

Member Feedback

I came out of this training with a better understanding of how to tackle data science project management problems. I liked that there was offline work that could be done at own free time, combined with live discussions that were very friendly and helpful”.

– Xavier Leow (Project manager)

Get a Course Brochure

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The cost of $950 includes:

  • Access to the DSPA community
  • Team Lead training materials: including 4 modules, one per week, that each contain online content (e.g., videos), and a live instructor/mentor led weekly session. It also includes DSPA’s TL Certification Exam.