Professional Certificate in Project Management Technology (PCPMT) | abpbd.org
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Professional Certificate in

Project Management Technology

This program focuses on building the hands-on technical skills needed for managing projects at all levels of operation. The objective is to equip the learners with tools, technologies, and strategic insights to implement and adapt to the top project management solutions of today and the future.

4 WeeksFormative Assessment
Live Online Class4 MoudulesLive

Session Availability

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Mobile App for Ease of Access

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Dedicated Support team

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Dedicated Job Portal for ABP Graduates

Course Content

Session 1: Workflow analysis
Session 2: Tech requirement analysis
Session 3: Exploring technology solutions
Session 1: Excel-based automation
Session 2: Google-based automation
Session 3: Free-tech integrations
Session 1: Taskade – cloud productivity
Session 2: ClickUp – cloud PM solution
Session 3: Slack for team communication
Session 1: Zapier for solution integration
Session 2: Remuneration and Compensation
Session 3: Agile technology roadmap
Session 1: Introduction to Digital Data    Management System in Project Management
Session 2: Understanding the performance management system of a project / organization
Session 3: Linking Data Management System into the performance management system
Session 1: Understanding the real-time data management system
Session 2: Setting up a real-time data management system
Session 3: Output of real-time data management system
Session 1: Understanding the Appropriate aps for data collection and reporting
Session 2: Challenges and benefits of the apps based data collection and reporting tools
Session 3: Polices and protections issues related to apps based data collection system
Session 1: Orientation of Kobo Tool box
Session 2: Opening account in Kobo
Session 3: Develop data collection tool in Kobo
Session 1: Demonstration of Kobo tool in mobile / tabs [installation to run]
Session 2: Sample data entry in the kobo tool by the participants
Session 2: Sample data entry in the kobo tool by the participants
Session 1: Demonstrating data cleaning process
Session 2: Demonstrating data analysis using Pivot
Session 3: Data presentation and reporting 

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Muhammad Arifur
Rahman

Research Economist & Data Scientist
Memorial University of Newfoundland,
St. John’s, Canada

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