Who should attend this Data Analytics for Project Managers Training Course?
The Data Analytics for Project Managers Course is valuable for various professionals who are involved in Project Management and decision-making. However, it is especially beneficial for the following professionals:
- Project Managers
- Programme Managers
- Business Analysts
- Product Managers
- IT Managers
- Operations Managers
- Team Leads
- HR Managers
Prerequisites of the Data Analytics for Project Managers Training Course
There are no formal prerequisites for this Data Analytics for Project Managers Course. However, a basic understanding of Project Management, Data Analytics, Statistics, and strong communication skills would be beneficial for the delegates.
Data Analytics for Project Managers Training Course Overview
Data analysis has emerged as an imperative tool for project victory in the contemporary fluctuating business environment. All industries have resorted to data analysis, which has become a key skill for every project manager nowadays. Mastering data analytics helps unleash the analysis of complex data sets for insights that will greatly impact project outcomes.
Understanding and getting into data analytics to a greater extent would be indispensable for a project manager, business analyst, or any professional involved in the execution of projects. Data analytics training is essential for all professionals targeting Project Management Certification to be aware of data analytics for better job performance, ensuring projects are completed efficiently and effectively.
This intensive 1-day Project Management Training will provide delegates with an overview of the knowledge and skills needed to apply data analytics to their projects. This course covers issues from data collection to its interpretation. This project management training course is designed to hone your capability to lead success in your projects by making decisions based on objective and informed judgment.
Course Objectives
- To predict future trends and make past data meaningful
- To identify outliers and patterns in the data by visualising it
- To learn by using datasets for automating actions and optimising machines
- To allocate the best resources to stakeholders and schedule them
- To manage resources and customer expectations for the project's success
- To forecast project performance in order to avoid and terminate running projects
At the end of this course, delegates will be able to extract raw data from the project and transform it into intelligible and coherent information. They will also be able to prioritise and select projects by following an analytic hierarchy process for making project-based decisions.