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I use a Minimal Variable Product (MVP) strategy in class
to boost curiosity, confidence, and the ability to ask meaningful questions,
so students can become the Most Valuable Player (MVP) at work.
I use a Minimal Variable Product (MVP) strategy in class
to boost curiosity, confidence, and the ability to ask meaningful questions,
so students can become the Most Valuable Player (MVP) at work.
MIS 0855: Data Science
MIS 0855: Data Science
Temple University (Undergraduate)
Temple University (Undergraduate)
Instructor of Record: Fall 2024
Instructor Evaluation: 4.87/5.00
from 28 out of 41 enrolled students
Instructor of Record: Fall 2024
Instructor Evaluation: 4.87/5.00
from 28 out of 41 enrolled students
Teaching Assistant: Fall 2023, Spring 2024
Teaching Assistant: Fall 2023, Spring 2024
At Temple, I teach MIS 855 Data Science. The topics include Big Data Analytics, Visualization, Fundamentals of Hadoop & MapReduce, Machine Learning, and Generative AI.
My class intensively uses Tableau, for which I am a Tableau Desktop Specialist, awarded in 2020.
Anonymous Student Feedback
"This was a very interesting and well-put introduction to Data science and I believe it's a necessary class for MIS majors and every other student. The class includes a lot of topics varying from big data to the AI used in a Tesla. This course should be more recommended in the major."
"Really really good, I learned a lot from this course that will be useful in my professional career and enjoyed coming to class everyday."]
"Professor Zhao creates an inclusive and supportive environment where all students, regardless of background, feel valued and respected. Her dedication to inclusion makes for a richer and more connected classroom experience."
"The professor gives out in class activities and is always there whenever we needed help on certain topics. She also gave out days where you could come in and ask questions regarding the work."
"This course offers an engaging and enriching learning experience, marked by thoughtful and inclusive instruction. The curriculum is well-structured, blending diverse perspectives with practical applications, which makes complex concepts accessible and relevant. Overall, it encourages meaningful discussion, critical thinking, and a supportive atmosphere that helps students thrive. I would recommend all of my friends to take data science with Professor Zhao."
"The In-Class Activities provided a great tool to better learn, understand, and execute the knowledge I obtained from this course. The hands-on activities and constant support overall benefitted my learning experience."
Student Testimonies
“Professor Zhao is so amazing and understanding!! Her knowledge of data science and the Tableau program is very evident, and she ensures every student succeeds in her class. Under her guidance, you will learn so much, even if data science is not your major. As a journalism student, I am glad I decided to take her GenEd course because she is so kind and incredible! Professor Zhao always takes the time to answer any questions in class and presents opportunities for every student to grow and learn. I will miss her and her class so much!!!” – Dakota Nguyen, Journalism
“I want to say thank you for being an amazing professor and I learned a lot from your class, and it has even inspired me to minor in MIS! I greatly appreciate your guidance, especially when my Tableau wasn’t working at the beginning of the semester.” – Chloe Alyssa Webb, Marketing
OPIM 5604: Predictive Modeling
OPIM 5604: Predictive Modeling
University of Connecticut (Graduate)
University of Connecticut (Graduate)
Teaching Assistant: Spring 2020, Fall 2020, Spring 2021
Teaching Assistant: Spring 2020, Fall 2020, Spring 2021
This course is a required course for the Master of Business Analytics and Project Management at UConn. The course covers Machine Learning models and techniques using the practical tool JMP Pro. I worked as a TA for three consecutive semesters with experience in face-to-face and online teaching and advising.
OPIM 5603: Statistics in Business Analytics
OPIM 5603: Statistics in Business Analytics
University of Connecticut (Graduate)
University of Connecticut (Graduate)
Teaching Assistant: Spring 2020, Fall 2020, Spring 2021
Teaching Assistant: Spring 2020, Fall 2020, Spring 2021
This course is a required course for the Master of Business Analytics and Project Management at UConn. The course covers Statistics using the R programming language. My students range in age from the 20's to the 70's. I worked as a TA for three consecutive semesters with experience in face-to-face and online teaching and advising.
Selected Teaching Certificates
Selected Teaching Certificates
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