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TRAINING, RESEARCH, CONSULTANCY WORK, AND BIG DATA ANALYTICS: WE ADDRESS YOUR NEEDS THROUGH OUR ACADEMIC SOFTWARE AND TECHNOLOGICAL EXPERTISE

Phil Consortium is the exclusive authorized provider of training workshops for NVIVO, CITAVI, INTERPRIS, SONIA, PIKTOCHART, WOLFRAM MATHEMATICA, and NORDPASS. The organization delivers customized training and consultancy services for academics, researchers, analysts, and industry professionals.
Specialized Training - Maximize Your Software Investment
​Invest in our professional-led sessions to become more efficient and proficient with your software solutions - helping you discover powerful capabilities that drive excellence.
SOFTWARE TRAINING OFFERED BY PHIL CONSORTIUM
























































OUR OBJECTIVES



TECHNOLOGY-ENABLED LEARNING SOLUTIONS
We offer practical training and workshops designed to help individuals and organizations better understand and apply digital tools for academic, research, and professional use.

Learn essential features and functions through guided sessions

Apply skills to real-world academic and industry settings

Improve workflow efficiency and data handling

Build confidence in using modern digital tools

CUSTOMIZED TRAINING AND CONSULTANCY SERVICES
Our services are tailored to meet the specific learning goals of researchers, educators, and professionals through hands-on workshops and responsive guidance.

Training programs designed to fit your needs and schedule

Step-by-step guidance for maximizing software use

Focused support to address project-specific challenges

Clear and practical approaches to problem-solving
DATA-DRIVEN INSIGHTS FOR DECISION-MAKING
Through training and consultation, we help you understand how to collect, organize, and analyze data more effectively—supporting better decisions and more efficient work.

Workshops on basic and advanced data handling techniques

Strategies for improving accuracy and productivity

Learn how to turn raw data into actionable information

Build confidence in managing data for academic and professional tasks
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