Project Management for Data Analysts

Об этом курсе

About this course

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.

Course Content

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