Supervised Data Analytics Team Management
Designed for team leads, this course focuses on the managerial aspects of running an analytics team. It covers project scoping, task delegation, code review standards, and mentoring junior staff.
£350
Certified Analytics Team Leader
- Pass mark 70%
- Certificate on completion
- Verifiable public certificate ID
- English · available globally
Supervised Data Analytics Team Management: the short answers
- What is Supervised Data Analytics Team Management?
- Designed for team leads, this course focuses on the managerial aspects of running an analytics team. It covers project scoping, task delegation, code review standards, and mentoring junior staff.
- Who is Supervised Data Analytics Team Management for?
- It is pitched at Intermediate level for Analytics Managers working in Data Analytics with Python or R, and is studied online from any country.
- How long does Supervised Data Analytics Team Management take?
- Around 15 hours of study, plus the assessed assignments and one applied project.
- How is the certification assessed?
- Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
- What do I receive when I pass?
- Certified Analytics Team Leader, issued as a certificate with a unique ID that employers can check in the public certificate register.
- How much does it cost?
- £350 once, with no subscription.
What you will be able to do
- Scope and define analytics projects to meet business requirements.
- Effectively delegate tasks based on team expertise and capacity.
- Implement code review processes for quality assurance and knowledge sharing.
- Mentor team members in technical and soft skills.
- Manage project timelines and stakeholder expectations.
Written by Linda Wu, Head of Analytics. Every submission is assessed automatically against the published criteria for Certified Analytics Team Leader, and the certificate is issued the moment the assessment is complete.
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