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.
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
"*" indicates required fields
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.
Wherever possible our training is tailored to your needs. The cost of our training programmes depend on the course(s) you choose and varies according to duration and breadth. Rest assured we have a number of payment options available to ensure the cost of training is affordable and can be worked alongside your other financial commitments. Common ways people fund their training include: –
Requesting funding from your employers needn’t be a daunting task. Many employers support and encourage their employees with their professional development and consider it a worthwhile investment to fund any training required.
What we can help with:
There may be the opportunity to apply for funded grants that can help towards the cost of training. These include the Skills Development Scotland ITAs and the ReAct programme in Wales. All schemes will have different terms and conditions that will need to be met in order to qualify for a grant and these are managed by each individual centre.
We’d recommend you speak to a Course Advisor in your local centre to find out whether they are registered to offer any such schemes and discuss your requirements further.
* Terms and Conditions apply. Speak to a Course Advisor for full information on the options available to you.
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.
We offer a range of training packages in a range of subject areas and can offer blended learning opportunities to best meet your needs.
Our courses are practical in nature and focus on a single subject and can last anywhere from a few hours to a few days.
Diplomas are designed to give you a complete skillset mapped to a specific career path and contain a number of core and elective courses.
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