Enable your team to use a framework designed for Data Science’s unique project challenges
Why take the Private Group Course?
Learn as a Team
Grow with your team as you learn how to deliver data science projects in your specific environment.
Our private DSPA Team Lead Course provides an opportunity for in depth team-based learning, focused on your organization, by incorporating your team’s specific challenges.
Since the course is just for your organization, there is flexibility with respect to how the course is offered. For example, the course could be a 2-day class, daily live sessions with online learning (e.g., videos) in between sessions, or a one month class that meets weekly (with asynchronous online learning in between sessions).
All enrolled team members can earn the Data Science Team Lead Certification.
Project Management for Data Science
Our group-based Data Science Team Lead™ (DSTL) course provides in-depth, comprehensive, and actionable training to empower the team to confidently communicate and execute data science projects.
Deliver better results by having the team collectively understand how to implement collaboration frameworks (Scrum, Kanban, Data Driven Scrum) as well as data science workflow frameworks (CRISP-DM, OSEMN).
Learn and use data science project management (NOT software project management)!
Our private group class format enables the team to discuss how to implement an appropriate project management framework that will work within their organization.
Empower your team to deliver better results
Deliver Better Insights Faster:
Build an agile culture of rapid delivery focusing on the most promising insights.
Drive Efficiency:
Adopt repeatable processes to improve team efficiency.
Avoid pitfalls:
Identify and address common project challenges.
Build Happier Teams:
Boost team morale through the use of more effective processes.
Enhance Collaboration:
Improve stakeholder communication and help scale projects across teams.
Leverage Expertise:
Learn from instructors who live-and-breath this stuff.
What skills are required to take the course?
There is no specific background or prior experience required. In fact, alumni come from over 15 different countries with experience ranging from senior executives to junior data scientists, with a range of roles, including:
- Data scientist
- Project manager
- Data engineer
- Software engineer
- Business analyst
- IT manager
- Scrum master
- CEO
- Product owner
- Consultant
- Data Analyst
- Intern
What you get…
4 Team Coaching Sessions
6+ hours of on-demand Video Lectures
Real-world Application (Case Study)
Curated Blogs, Whitepapers, and interactive Games
Exclusive Training on Data Driven Scrum
Lifetime Certification and Portal Access
Course Modules
Data Science, Agility & Teams
- About Us
- Exploring the Need for Process
- Data Science vs Software Engineering
- Selecting a Process
- Our View of Data Science
Agility
- 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 & Synthesis
- Case Study Overview
- Case Details (Paper)
- Module Sythesis (Case Questions)
One-on-One Session with Mentor
The Data Science Life Cycle
- Module Overview
- Types of Frameworks Lecture
- Types of Frameworks Discussion
CRISP-DM
- CRISP-DM Overview
- CRISP-DM Challenges
- CRISP-DM Guide (Reading)
- OSEMN
- Harvard's Workflow
- Domino's Life Cycle
- Uber's Process
- Microsoft's TDSP
Review and Reflection
- Workflow Review
- Workflow Discussion
- Workflow Blog Reflection
- Module Syntehsis (Case Questions)
One-on-One Session with Mentor
Team Collaboration
- Module Overview
Lean and Kanban
- 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)
Review and Reflection
- Collaboration Framework Blog Reflection
- Module Synthesis (Case Questions)
One-on-One Session with Mentor
Data Driven Scrum & Special Topics
- Module Overview
Data Driven Scrum
- Overview
- Workflow
- Artifacts, Roles, and Meetings
- DDS + CRISP-DM
- Example Project using DDS
- DDS Guide (reading)
- Project Simulation Game I
- Project Simulation Game II
- Comparing Frameworks
- How to Select a Team Process
- Discussion on Selecting a Process
- How to Measure a DS Project?
- Discussion on Metrics
- Overcoming Common Issues
- Overcoming Common Issues II
- A Team's Agile Journey (Paper)
- Module Synthesis (Case Questions)
One-on-One Session with Mentor
Review some final pointers from the instructors
Sit the 30-minute, multiple-choice exam.
Upon passing, you will receive a lifetime Data Science Team Lead Certificate and LinkedIn Badge.
You will have lifetime access to the online portal which includes up-to-date training material.
What our Students are Saying…
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.”
Mark Bonnett
“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.”
Vince Plaza
“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.”
Xavier Leow
“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.”
Daniel Miller
“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.”
Joe Acquavella
“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.”
Hector Rangel
For a deeper dive, explore our testimonial page and alumni interviews.
Frequently Asked Questions
Little attention had gone toward data science project management as the spotlight focused on new technologies and capabilities. This has left data science teams struggling to know how to implement their projects (or maybe using a framework designed for software development). Organizations that effectively manage data science initiatives are more likely to see the benefits of their investments.
We focus on one and only one topic (data science project management), and have expertise beyond other training services and consultancies. Specifically, 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.
Contact Us for pricing – we can easily send one invoice for all your team members
There is no specific prerequisite knowledge required – but the team should be interested in improving the process they use to execute their projects.
It’s your team’s time. We’ll flex to make it valuable for your team. Some teams enjoy having the Mentors answer specific questions from the content covered in that module. Others teams discuss relevant curated readings, and yet others prefer to use the time discussing how to apply the knowledge gained within their team.
After the team registers, we will work to find a time that works for the team one one or our mentors / instructors. We’re based in the USA, so European teams typically are scheduled during their afternoons (or evenings). Teams based in the Asia-Pacific region generally are lined up in their mornings (or late evenings). Teams in the Americas often have class during the workday (but some prefer evenings).
Duration: It’s designed as a 4-week course. Generally, the team focuses on one module per week and finishes each week with their live session. Most team members take the certification exam within days of the fourth and final live session. However, we’ll adjust to meet your team’s needs. Some teams have used an accelerated 2-week course. The longest so far has been 6 weeks.
Total Time Investment: Each person tend to invest 12 – 24 hours in the course. A typical breakdown is:
- 6 hours for the on-demand videos
- 0 – 4 hours for re-referencing/re-watching the videos
- 3 – 8 hours for activities, case study, and readings
- 2 hours for the 4 one-on-one sessions (30 min each)
- 1 – 4 hours to study and sit the exam
You’ll have life-time access.