Big Data and Knowledge Analytics 

Focus

This training program delves profoundly and extensively into the sophisticated methods, detailed procedures, and comprehensive practices involved in examining, scrutinizing, and thoroughly analyzing vast quantities of complex big data. The goal is to discover patterns, identify trends, extract critical insights, and distill significant, meaningful information. Furthermore, this program places a strong emphasis on the transformation of the analyzed data and the insights garnered into practical, actionable knowledge for formulating strategic decisions, developing sound policies, or bolstering long-term planning initiatives.

Skills & Competencies

The extensive agenda of the workshop is carefully designed to empower attendees with profound knowledge, skills, and competencies required to efficiently construct and implement methods and procedures to analyze big data and extract knowledge to support decision and planning.

Methodology

This Workshop incorporates an engaging mix of comprehensive lectures, thorough assessments, tangible practical examples, and detailed case studies to equip participants with a robust mastery over the foundational principles and skills pertaining to data analytics.

Learning Outcomes

Upon successful completion of this workshop, attendees will have achieved a high level of proficiency that enables them to:

1. Exhibit a comprehensive understanding of big data and knowledge.
2. Demonstrate an understanding of the fundamentals of statistics used in data analytics.
3. Describe the basic features of supervised and unsupervised machine learning, and Generative AI.
4. Devise and implement data collection methodologies and procedures that are both efficient and effective.
5. Apply data cleaning and visualization methods​.
6. Employ advanced Data Analytics and knowledge Discovery techniques to bolster decision making and enhance planning.
7. Incorporate principles of Lean Six Sigma, and the PDCA (Plan-Do-Check-Act) cycle for continuous improvement data and knowledge analytics.

Duration and Mode of Delivery

The workshop extends over a period of 6 days, featuring 3 hours each day of intensive, interactive learning sessions. It is designed to be accessible and convenient for all by offering both online and in-person attendance options. Participants will be recognized with 18 PDUs (Professional Development Units) for their commitment to professional growth upon completion of the program.

Who Should Attend

1. Academic and Non-Academic Administrators.
2. Assessment Officers, Coordinators and Staff.
3. Institutional Research Officers and Staff.
4. Quality Assurance and Institutional Effectiveness staff.
5. Professionals in the area of IT, finance, marketing, and other areas that deal with data.
6. Graduate and Undergraduate students interested in learning about data analytics to boost their career.

Profile of the Trainer

1. More than 20 years of teaching and research experience in Higer Education.
2. More than seven years of experience in managing QA&IE, IRP, assessment of learning outcomes, and accreditation in Higher Education.
3. In-Depth experience in developing QA&IE framework, strategic planning, and organizational policies.
4. Extensive experience in AI, statistics, survey design, data visualization, analysis, and interpretation.
5. Certified Lean Six Sigma Green Belt – Kansas University, USA.
6. Certified AACSB Program Assessment.
7. Certified AACSB Benchmarking.
8. Certified ABET Fundamentals of Program Assessment.
9. Reviewer of IEEE Online Learning Courses.