Arizona State University (ASU)
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Md Moniruzzaman
Assistant Professor -
(3)
3
Portals
Categories
Data visualization Data analysis Website development Mobile app development Information technology

Achievements

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Network Builder
Issued by Riipen
Awarded to educators who have worked with 5 or more companies.
Completed on February 24, 2024
Business Strategy Educator
Issued by Riipen
Awarded to educators who are members of 2+ published experiences with this main category
Completed on February 7, 2024
Experiential Learning Provider
Issued by Riipen
Awarded for creating an opportunity for experiential learning.
Completed on July 2, 2023

Latest feedback

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Shanaz Joan Parsan
Shanaz Joan Parsan She / Her
Founder, Managing Partner and Head of Energy/Innovation
July 4, 2022
Experience Feedback
The Professor, MD Moniruzzaman was outstanding and lent support to students and the SZC team. We are very grateful. The team had four students and one was particularly outstanding. All students were willing to learn and grow. I would recommend that while students may major in Data analytics, they should be exposed to courses in financial analysis and banking as most intend to have careers in banking. Also students should consider their audience when writing reports. There is a need for dashboards and displays which present data in a digestible form for those who perhaps aren’t as well versed in extracting insights from charts and symbols as the rest of us may be. Overall it was an excellent experience.
University of California, Riverside Extension
2023 Capstone Course (Project Management, Data Analysis, Data Science, Business Analytics and Operation Management)
University of California, Riverside Extension
SZC Group - Szymon Zephan Capital
Sales and Market Research
SZC Group - Szymon Zephan Capital
David Mansfield
Founder
June 28, 2024
Experience Feedback
It was a very interesting, worthwhile experience, and I am very grateful for the professor and students' participation.
University of California, Riverside Extension
2024 Capstone Course (Project Management, Data Analysis, Data Science, Business Analytics and Operation Management)
University of California, Riverside Extension
The Monday Revolution
Management Book Launch Project
The Monday Revolution
Pete Fellows He / Him
Director
June 19, 2024
Experience Feedback
Good experience, communicative and responsive.
University of California, Riverside Extension
2024 Capstone Course (Project Management, Data Analysis, Data Science, Business Analytics and Operation Management)
University of California, Riverside Extension
Fellows and Associates
Research on US Intellectual Property Law Sector
Fellows and Associates

Recent experiences

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University of California, Riverside Extension
University of California, Riverside Extension
Riverside, California, United States

2024 Capstone Course (Project Management, Data Analysis, Data Science, Business Analytics and Operation Management)

Apr 29, 2024 - Jul 10, 2024

This Course allows students to demonstrate their proficiency in the key concepts of business analytics. As a capstone project, students will understand and critically apply the concepts and methods of business analytics., analytical skills, data visualization, data mining, data warehouse, and big data analytics throughout the program. Through this course, students will acquire soft (communications) and hard (technical) skills to support business analytics projects and decision-making. We will focus on using methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance, and so on.

Matches 6
Category Data visualization + 4
Closed
University of California, Riverside Extension
University of California, Riverside Extension
Riverside, California, United States

2023 Capstone Course (Project Management, Data Analysis, Data Science, Business Analytics and Operation Management)

MGT 286 B

Nov 20, 2023 - Dec 1, 2023

This Course allows students to demonstrate their proficiency in the key concepts of business analytics. As a capstone project, students will understand and critically apply the concepts and methods of business analytics., analytical skills, data visualization, data mining, data warehouse, and big data analytics throughout the program. Through this course, students will acquire soft (communications) and hard (technical) skills to support business analytics projects and decision-making. We will focus on using methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance, and so on.

Matches 26
Category Data visualization + 4
Closed