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An Integrated Approach to Improve Your Data Science Project Execution

By combining data science process research with industry leading agile training, the Data Science Process Alliance advises organizations on how to effectively execute data science projects.

In short, DSPA can provide:

  • Advisory / Consulting Services – we can review your current process maturity, provide advice on key changes that would provide the most impact
  • Training – Easily enroll employees into a public or private course
  • Certification – Ensure employees are mastering the desired content.
  • Community – Provide employees access to an employee only data science process community and/or DSPA’s online members-only community

These services can be provided in an integrated fashion, or on a “a la cart” basis.


Depending on the needs of the organization, employees can gain three levels of certified proficiency

Being a Data Science Process Alliance (DSPA) member enables your employees to access our learning community, which includes access to videos and summaries of different aspects of managing a data science project.

Reviewing the content in the learning center provides an easy way to get a high level understanding of the concepts that enable effective data science project leadership. While one will not become an expert, members will get a sense of the frameworks and best practices that might be used on a data science project.

Cost: TBD (based on the number of employees)


The Data Science Practitioner™ (DSP) training provides employees with a foundational level of knowledge on how to be part of an effective data science team. It covers the key coordination and data science life cycle frameworks. 

The course starts with an asynchronous online learning component in our members content library, followed by an online seminar which meets for synchronous discussions and exercises. The live seminar/class lasts 2 hours.

It is also possible to deliver this course in a live face-to-face half day workshop, with no required online pre-work.

Cost: TBD (based on the number of employees and format of the course)


The Data Science Team Lead™ (DSTL) course provides an opportunity for more in depth learning. After completing this training members will be ready to lead and manage data science projects from a process perspective. 

The course is either a 2-day face-to-face class, or a one month web-based class that meets weekly for synchronous discussions and exercises (with asynchronous online learning in between sessions).

Cost: TBD (based on the number of employees).


During our courses, your employees work on real-life cases, participate in discussions with other employees (that are instructor facilitated), and have readings to compliment the discussions.

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

Both DST and DSTL courses are a combination of online learning, live instruction and team-based exercises and games, where employees experience how using a data science process, and how one can improve your data science team’s effectiveness in generating actionable insight. Each of these courses also includes registration for the applicable certification exam.

Note that the DSTL course is our most advanced class, and it discusses common missteps and misunderstandings, so members gain an awareness of the associated symptoms of those missteps. That course also provides prescriptive guidance to avoid having the project go off track from those missteps and misunderstandings.


Course Modules

Agility and Data Science:

  • What is Agile Data Science?
  • Software Development vs Data Science?
  • Roles (Product Owner, Process Expert, Data Engineer, …)
Data Science Workflows:

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

  • Planing and Prioritizing tasks
  • Agile frameworks (Scrum, DDS)
  • Lean principles (Kanban)
More Frameworks & Other Considerations (DSTL Only):

  • Integrating multiple frameworks
  • Tools, Testing, and Metrics
  • Coordinating across projects

Member Feedback

DSPA is very unique and very useful – I haven’t seen any other similar certifications.

– Greg G.

Member Survey Results

  • DPSA members are satisfied with their course(s) (85%+ of members)
  • DSPA members think that the training/certification would be useful for others who work on data science projects (85%+ of members)