Nanzy Zhang (MBA ’26)
The Data Analytics 3: In Practice core course equips students with practical skills in analytics, machine learning, and AI, using Python and Tableau. First-year full-time MBA students shared some insights on how this course bridges theory with real-world impact.
What makes this data class unique?
Nancy Zhang: As someone who doesn’t have prior coding experience of any kind, I find Python to be interesting to learn and relevant since it’s a commonly known coding tool. Python is very interconnected with other class concepts such as data analysis and statistics so it’s beneficial to understand how Python aids with conceptual and technical knowledge. Additionally, Prof. Beebe is a great instructor who is thorough in teaching the managerial and technical aspects of coding with Python.
Naren Bhende: Professor Beebe! He’s a great professor and is extremely easy to follow.
John Hart: This data class is unique because it gives the students more exposure to a few different types of machine learning models that are used frequently in the business world.
What has been your favorite topic covered so far?
Nancy: In general, I like learning how to create graphs such as boxplots and histograms with Python. It feels satisfying when the code runs and an informative visual appears!
Naren: I’ve enjoyed learning about predictive modeling in Python.
John: My favorite topic is visualization techniques. I enjoy learning how to present data to effectively tell a business story.
Naren Bhende (MBA ’26)
What are some practical applications of this course for your career?
Nancy: I can approach data in my post-MBA career with much more familiarity. Data analysis is relevant and applicable to all careers in some form, and so I find it crucial to be comfortable with working and utilizing data to help achieve desired outcomes.
Naren: The predictive modeling we’re learning is used at a consulting firm I’m interviewing with. The company uses the results to pitch solutions to clients and assist with their business issues.
John: Honestly, I think I’ll be able to use all of the class content from feature engineering to interpreting model results and data visualization in some way or another in my post-MBA career.
John Hart (MBA ’26)
What is your advice to students taking this class next year?
Nancy: I think the class is a great introduction to Python. No prior experience is necessary, and the class is structured to teach the basics and onwards. It can be intimidating to work with an unfamiliar tool, but I think that’s also part of the excitement so keep an open mind and learn as much as you can!
Naren: Professor Beebe offers optional practice. Do them in class! It's way easier to use Python after you get the repetitions in.
John: Allow yourself to struggle for a bit before using the internet or genAI for help.