Adjunct Professor - Analytics & Operations
- ckevinkusuma
- Dec 20, 2021
- 2 min read
Updated: Nov 19, 2022
Summary
• Teaching undergraduate-level students advanced analytics and data science
• Providing engaging lectures on statistics, machine learning, and cloud infrastructure
• Passing on BI best practices around dashboarding, data governance, and infrastructure
• Stimulating understanding of feature engineering, dimensionality reduction, and data mining
• Bringing real projects, clients, and data for students to experience real-world analytics projects
• Helping students to make educated judgments on what method or algorithm fits with certain use case
• Languages: R, Python, SQL, and RShiny
• Business Intelligence: DOMO, Tableau, DataIku and PowerBI
• Cloud: Google Cloud Platform (GCC) and Amazon Web Services (AWS)
• Database: BigQuery, MySQL, and PostgreSQL
Student Comments
• Everything, by far one of the most valuable and best class I have ever taken here. The teacher took teaching seriously, created his own slides and taught in his own ways. Not like some teachers that just get us something you can find on Google. No complain but best class ever! The teacher is very patient too. Love that the teacher is currently in the working force so that he can tell us how relevant it is in the market. Even we have different timezones, we strive his best to meet with us after class when we need help.
• the teacher not only using practice and assigment to teach but also explain the application in the real world.
• The group project in an online class is hard.
• Due to hard material of the class I suggest to record the zoom video so the students can learn it again after class.
• We are exposed to different kinds of big tools such as R, DOMO, SQL, and DataCamp.
• The strength of this course is that it helps students to get a certification in using analytic tool DOMO. Most of the assignments and activity really helps to learn how to use domo to visualize data.
Example Class Materials:
Comments