In this course, you’ll learn the concepts and tools most commonly used for project management in data science.
This course is for anyone who is interested in learning the approaches and techniques used for project management in data science and other technical fields.
Awarded 12 CPD points upon successful completion
Data analysts must juggle being technically sound, being thoughtful business partners, having strong project management skills, and remaining focused on the priorities of their organisation.
Knowing which tools to use –– and when –– is a key part of the data analyst’s planning and decisionmaking. Just as this is the case with the technology tools the data analyst uses, so is it true of the project management processes and systems that will be deployed for any given project.
This course will introduce you to the essential tools and techniques used for project management and collaboration in data science and other technical fields. You’ll explore the essential concepts of Lean, Agile, and Scrum methodologies and their application.
The course consists of 11 modules and includes demonstrations, hands-on activities, and knowledge tests at the end of each section of the course.
Module 1: Understanding the Collaboration Tools
Module 2: Software Project Management Communication Skills
Module 3: Lean, Agile, and Scrum Methodologies
Module 4: Using Lean to Perfect Organisational Processes
Module 5: Using Lean to Improve Flow and Pull
Module 6: Using Lean to Reduce Waste and Streamline Value Flow
Module 7: Applying Value Stream Mapping in Lean Business
Module 8: Agile Principles and Methodologies
Module 9: Agile Project Planning
Module 10: Agile Project Scheduling and Monitoring
Module 11: Agile Stakeholder Engagement and Team Development
The aim of the course is for you to develop a strong foundation in the tools and best practices used for project management in the field of data science.
There are no pre-requisites for this course.
Data analysts are often juggling multiple projects at any given time. Employers seek data analysts with a strong grasp of the key tools and best practices used in project management.