Workshop - “Implementing Data Analytics and Big Data in Business Education” 

Introduction:

In today’s data-driven world, business education must evolve to incorporate the tools and methodologies of data analytics and big data. This training explores how academic institutions can effectively embed data-driven thinking into their curriculum, teaching methods, and administrative decision-making. The session provides hands-on exposure to tools, platforms, and case studies to help educators and administrators align with global trends in business analytics.

Training Objectives:

1. To provide a comprehensive understanding of data analytics and big data concepts in the context of business education.

2. To explore the integration of data analytics tools and platforms into the business curriculum.

3. To equip participants with practical strategies and case studies for implementing data-driven teaching and learning.

4. To demonstrate how analytics can enhance decision-making and student performance tracking in business schools..

5. To promote best practices for faculty upskilling and curriculum development in analytics education..

Learning Outcomes:

1. Understand key concepts and technologies related to data analytics and big data.

2. Identify practical applications of data analytics in business education settings.

3. Design course content and student projects involving real-world data sets.

4. Utilize platforms such as Power BI, Tableau, Python (basic), and Excel for classroom use.

5. Analyze case studies of successful analytics integration in business programs.

6. Develop an action plan for incorporating analytics into their own institutions or courses.

Target Audience:

Faculty members and lecturers in business schools Curriculum designers and academic planners Department heads and academic administrators Educational technologists and instructional designers Trainers involved in upskilling programs for business educators Decision-makers at higher education institutions looking to modernize business programs

Facilitators:

1. Dr. Laeeq Khan,
Associate Professor, Director, Social Media Analytics Research Team (SMART) Lab
Ohio University

Notes:

1. Workshop/Seminar Registration Fee:  12,000/-PKR.
2. In case of replacements, transfer and refund, participant should officially notify via email/letter to NBEAC 10 working days prior to the workshop. After that NBEAC will not entertain any claims and changes.
3. NBEAC may cancel or postpone a workshop/program due to insufficient registration or unforeseen** circumstances. In this case, NBEAC will refund registration fee but will not be responsible for any other related expenses including cancellation charges by airline and travel agencies.
   
4. In case of postponement, the fee may be transferred to the rescheduled offering of that workshop or any other workshop as an alternate to refund. The NBEAC reserves the right to make changes in its program policies and fees at any time.

** If unforeseen circumstances occurs during the workshop and one day before the scheduled workshop, NBEAC will not refund the registration fee.