Data Analytics and Machine Learning for the Technical Project Manager
Learn to manage ML-driven projects by integrating data analysis, applying relevant metrics, and optimizing outcomes. This course equips Technical Project Managers with the skills to lead successful machine learning initiatives in dynamic environments
Course Overview
Businesses are rapidly adopting Machine Learning, but successful integration requires more than just advanced technology—it demands effective project management. Understanding how ML fits into software and hardware solutions is essential for ensuring meaningful outcomes.
This course covers the fundamentals of managing ML-driven projects, including how a Project Manager interacts with Machine Learning tools, integrates data analysis, and evaluates results for both internal performance and customer impact. You will explore what makes ML outcomes successful, the role of internal and external metrics, and strategies for incorporating ML into project workflows.
Skills You Will Gain
Learning Outcomes (At the end of this program, you will be able to...)
- Evaluate different project management processes for integrating machine learning practices.
- Demonstrate foundational principles of machine learning development within a project framework.
- Analyse various data analytic techniques to assess and measure machine learning outcomes.
- Synthesize key outcomes from an ML project to identify challenges, anticipate roadblocks, and determine essential metrics.
Prerequisites
Learners should have a working knowledge of project management principles—such as Agile, Scrum, or similar methodologies—and a basic understanding of machine learning tools and concepts. Familiarity with large language models (LLMs), analytic workflows, and data processing techniques will help learners follow along more effectively. While coding experience is not required, comfort with data-driven thinking and some exposure to tools like R or Jupyter Notebooks will be advantageous.
Who Should Attend
This course is tailored for professionals who lead, support, or contribute to machine learning projects within technical environments. It’s ideal for technical project managers, team leads, and supervisors responsible for integrating ML tools into product development workflows. Developers aiming to understand how ML impacts future tasks and project delivery will also benefit, as will data analysts looking to better build and assess ML models. Additionally, this course is a strong fit for professionals who need to effectively communicate ML objectives and results to both technical teams and business stakeholders.
Course Includes
This course includes:
- On-demand videos
- Practice assessments
- Multiple hands-on learning activities
- Exposure to a real-world project
- 100% self-paced learning opportunities
- Certification of completion
Curriculum
Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.
Meet Your Expert Instructors
Mark Peters
VIEW MY CHANNELFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.
