Project Management for Data Analysts

Is This for You?

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.

Award and Associated Qualifications

Accredited CPD Centre

Awarded 12 CPD points upon successful completion

Courses Start Date
Start Date
Flexible
Courses Study Type
Study Type
In centre, online, or a combination
Courses Training Type
Training Type
Course
Course Duration
Duration
12 hours

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

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Aims and Objectives

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.

Pre-Requisites

There are no pre-requisites for this course.

Finance Options

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: –

Self-Funded:

  • Flexible payment plans to help you spread the cost* available at many of our centres;
  • You could opt to pay upfront.

Company Funded:

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:

  • Providing a comprehensive training programme outlining learning outcomes
  • Tailored personnel letters
  • Communication with finance departments to arrange payment options (upfront or payment plan*).

* Terms and Conditions apply. Speak to a Course Advisor for full information on the options available to you.

Career Path

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.

What’s the Difference?

We offer a range of training packages in a range of subject areas and can offer blended learning opportunities to best meet your needs.

Pitman Training Type Course

Our courses are practical in nature and focus on a single subject and can last anywhere from a few hours to a few days.

Pitman Training Type Diplomas

Diplomas are designed to give you a complete skillset mapped to a specific career path and contain a number of core and elective courses.

Flexible Training That Works for You

Looking for prices?

Request more details or call the team on 1800 532632.