Data Science Projects
It’s time to start managing them as such.
3 Ways to Grow your Career
Master Data Science Process Foundations
Understand how a team can be more productive by using the right data science workflow and collaboration framework.
By taking the Data Science Team Lead Foundations™ (DS-TLF) course, you will understand how to apply collaboration frameworks (ex. Scrum, Kanban, Data Driven Scrum) and data science workflows (ex. CRISP-DM, OSEMN) to deliver better data science outcomes.
This is the most economical training option and requires the least time commitment. The Foundations course content is the same as the Team Lead course content but does not include 1-on-1 mentoring sessions.
Customize Your Learning with Mentoring
Enable your team to be more productive by understanding appropriate data science processes for your specific team.
With the Data Science Team Lead™ (DS-TL) course, you get all of the content in our DS-TLF course plus actionable training via four 1-on-1 mentoring sessions.
These mentoring sessions will help ensure you fully understand how to use the collaboration frameworks (ex. Scrum, Kanban, Data Driven Scrum) and data science workflows (ex. CRISP-DM, OSEMN).
Confidently Implement a Team Process
Define and implement an appropriate data science workflow and collaboration framework for your situation.
You go deeper with the Data Science Team Lead Plus™ (DS-TL+) which includes all the content in the DS-TL course, plus two additional modules focused on best practices for project implementation, and four additional (eight total) actionable training and mentoring sessions.
The result – you will confidently define and execute a well-defined repeatable process within an organization. In particular, the additional modules and mentoring sessions will help you define and implement a data science team process for your organization.
Why get Data Science Team Lead Certified?
Master Data Science Project Management
Because data science is different from software projects
Advance your Career
With a differentiating certification that signals your unique knowledge
Grow with Individualized Coaching
DSTL and DSTL+ courses come with 1-1 coaching sessions
Keep Lifetime Access
Course access and certification never expire – No renewal fees
Learn Data Driven Scrum
A new variant of Scrum adopted for the nuances of data science
100% On-line & Flexible
Curated articles, case study, and 6.5 hours (8.5 for DSTL+) of videos
Comparing the Courses
Team Lead Foundations
(Workflow and Collaboration Frameworks)
Use a Better Team Process
and Execute Projects
Or are You Looking to Learn as a Group?
Module DescriptionsModules 5 and 6 are only in DSTL+
Data Science, Agility & Teams
- About Us
- Exploring the Need for Process
- Data Science vs Software Engineering
- Process Benefits & Adoption
- Our View of Data Science
- Intro to Agile Data Science
- Why Agility is Important
- Agile Data Science Benefits
- How to Achieve Agility
- Exploring Team Roles
- Non-technical Roles
- Data Science Project Teams
- Adopting a Process (Paper)
- Case Study Overview
- Case Details (Paper)
- Module Sythesis (Case Questions)
The Data Science Life Cycle
- Module Overview
- Types of Frameworks
- CRISP-DM Overview
- CRISP-DM Challenges
- CRISP-DM Guide (Reading)
- Harvard's Workflow
- Domino's Life Cycle
- Uber's Process
- Microsoft's TDSP
- Workflow Review
- Workflow Discussion
- Workflow & Responsible AI
- Blog Reflection
- Module Synthesis (Case Questions)
- Lean Overview
- Kanban Overview
- Kanban for Data Science
- Kanban Evaluation
- Scrum Values and Principles
- Scrum Key Concepts
- Scrum for Data Science
- Scrum Discussion
- Scrum Guide (Reading)
- Collaboration Framework Blog Reflection
- Module Synthesis (Case Questions)
Data Driven Scrum & Special Topics
- Artifacts, Roles, and Meetings
- DDS Increments
- Example Project using DDS
- Combining DDS & CRISP-DM
- DDS Guide (reading)
- Project Simulation Game I
- Project Simulation Game II
- Comparing Frameworks
- Project Metrics
- Metrics Discussion
- An Agile Team's Journey (Paper)
- Module Synthesis (Case Questions)
Projects, Programs, Products, & Prioritization
- Program Management
- Scaling Agile Teams
- Scaling Data Science Teams
- Intro Word Game
- Product Management
- Product Owner
- Product Manifesto
- Why Prioritize?
- Prioritization Framework
- Prioritization Discussion
- Value Assessment Workshops
- Module Sythesis (Case Questions)
Define & Use a FrameworkExtended 3-week Mentoring Sessions to Implement a new Process
- Module Intro
- How to Select a Team Process
- Process Selection Discussion
- How to Define a Process
- Overcoming Common Issues I
- Overcoming Common Issues II
Take the 30-minute, multiple-choice exam.
Upon passing, you will receive the appropriate lifetime Data Science Team Lead Certificate and LinkedIn Badge.
You will have lifetime access to the online course portal which includes up-to-date training material.
Who should Enroll?
There is no specific background or prior experience required. Many data science managers were previously either data scientists (that now have to, or want to, lead people), or managers from a different domain (such as software development).
Our students come from over 20 different countries with roles ranging from full-time students to senior executives including:
- Data scientist
- Project manager
- Data engineer
- Software engineer
- Business analyst
- IT manager
- Scrum master
- Product owner
“I would recommend the course as it gives you the conceptual frameworks to think constructively on how to better organize data science work within your organization.”
“Great to have discussions with someone who thinks from a methodological perspective, but also has hands-on experience with managing data science work. Also, I enjoyed the discussions in the videos between the course instructors.”
Jelle De Jong
“This course was very helpful, in that it refreshed my memory on SCRUM and indeed its limitations and benefits as well as introduced some methods I’d not considered before.”
“I enjoyed it all to be honest. Focusing on real life and workflows was important to me as its great knowing a theory but how do you implement and use is always the killer part.”
“I highly recommend this course. It focuses on essential skills that I immediately put to work on a data science project.”
“I tell my friends and peers – Take this class for the insights it adds to your project toolkit.”
“This course helped me understand how a data science team should think and I came out of the course 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.”
“Understanding the course content was helpful, but the real value-add we experienced was the 1-on-1 sessions with the DSPA team; it’s how we learned ways to apply the course content to our unique work environment.”
“Implementing the suggestions we got from the DSPA team has helped us set more reasonable expectations for how we should manage projects and helped us develop a roadmap toward doing this better.”
“The course was extremely useful. My only regret is not having taken it sooner. The format was surprisingly easy to follow. Short lectures, followed by interesting discussions amongst the lecturers, made the material very easy to digest.”
“The best part of the course was probably the weekly one-on-one interactions with the lead trainer, which were extremely useful.”
Dr Thibaut Jombart
“As a Scrum Master, the DSPA Team Lead course helped me to look at what I do from different viewpoints. I now not only have a better understanding of how developers look at the Agile process, but also how Data Scientists look at the Agile process.”
“This new understanding will help me to better run my Teams and run different types of Teams. What I liked best, and helped me the most, was the one on one aspect of the course. Our weekly sessions helped me to ask questions that I would not have been able to via e-mail.”
“The course was very useful. It covered both the theoretical and practical aspects of Data Science Project Management. The training also validated my belief that our software development efforts are different than our data science efforts, which means that our data science projects should have a different process than our software development team process.”
“The mentoring sessions were very valuable, as was the ability to go back over the material at any time.”
Frequently Asked Questions
Because we only focus on one and only one topic, which is beyond the true expertise of other training services and consultancies. Namely, we research and apply agile data science project management practices to educate others to effectively deliver data science project outcomes. Sure, we’re biased in stating this, but if you want to learn how to better manage data science projects, we’re the best option.
For the Team Lead and Advanced Team Lead courses, we have 1-on-1 mentoring. Private group classes have live instructor-led class sessions. It’s your time. We’ll flex to make it valuable for you. Some students enjoy having the Mentors answer specific questions from the content covered in that module. Others discuss relevant curated readings, and yet others prefer to use the time for individual consulting on how to apply the knowledge gained for their specific use cases.
Any time! You’ll have access to on-demand course content immediately after registration. DSTL, DSTL+, and Group students — we’ll contact you to set up the first session. We can generally start the next week or wait until you’re ready.
See the Course Comparison Table.
- Team Lead Foundations — Lowest tier. Best if you’re budget-constrained, those looking for self-learning only, or organizations looking to offer licensed materials to large teams.
- Team Lead — Middle tier. Best if you’re looking for just customized mentoring on how team processes could be used.
- Team Lead Plus — Top tier. Best for implementing a process for a team.
- Team Lead Foundations is self-paced. Some students finish in one week, others finish in three months. Most students invest 8 – 20 hours in the course.
- Team Lead is designed as a 4-week course. Generally, the student takes one module per week and finishes each week with their one-on-one session but some students have taken the course as an accelerated 2-week course. Most students invest 10 – 24 hours in the course.
- Team Lead Plus is designed as an 8-week course. Generally, the student takes one module per week and finishes each week with their one-on-one session (but just as with the TL course, this can be adjusted). Most students invest 14 – 32 hours in the course.
Yes. Either before or after registration, just contact us with any specific information you need on the invoice.
Forever! There are no renewal fees or renewal credits. We refresh the course content once or twice per year. You’ll have access to the updated content.
Find Out More – Get Our Brochure
Apply the latest data science process research with practical tips from the field.
Deliver data science outcomes.
With on-demand content and personalized coaching, our courses provide the leading agile project management certification focused on data science projects.