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MBS 1st Semester Statistical Method (Batch 2025 OIG)

Course Description

The MBS (Master of Business Studies) program at Tribhuvan University is designed to provide students with a comprehensive understanding of various aspects of business management. In the first semester of the program, students delve into the fundamentals of Statistical Methods, a crucial subject that forms the backbone of data analysis and decision-making in business contexts.

Statistical Methods in the MBS program cover a wide array of topics, including descriptive statistics, probability theory, hypothesis testing, regression analysis, and more. Students learn how to collect, analyze, and interpret data to make informed business decisions, evaluate performance, and forecast future trends.

Through lectures, practical exercises, and real-world case studies, students gain hands-on experience in applying statistical techniques to solve business problems and enhance organizational effectiveness. The course equips students with the quantitative skills and analytical mindset necessary to navigate the complexities of modern business environments.

Overall, the Statistical Methods course in the first semester of the MBS program at Tribhuvan University serves as a foundational building block, laying the groundwork for students to develop proficiency in data analysis and strategic decision-making throughout their academic and professional endeavors in the field of business management.

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Live Schedule: Sun 08:00PM, Mon 08:00PM, Tue 08:00PM

Instructor

Shrawan Kumar Acharya
Lecturer/Tutor

Shrawan Kumar Acharya, an esteemed educator, brings a wealth of expertise to the MBS program. With a passion for teaching and a deep understanding of business principles, Acharya inspires students to excel in their studies. Through engaging instruction and mentorship, he empowers future business leaders with the knowledge and skills needed to thrive in today's competitive landscape.

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Overview

  • Enrolled Students 269
  • Lesson 5
  • Video Duration 3000.00 Minutes

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