Zihong Huang

Zihong Huang

Assistant Professor @ Rawls, Texas Tech University

Instructor/Teaching Assistant

ISQS 3345: Analytics and Development with Python (Fall 2023, Fall 2024)

Instructor, Rawls College of Business, Texas Tech University, 2024

The subjective of this course is to provide a pragmatic and hands-on introduction to the Python programming language, with an emphasis on practical application with simple examples. Python is one of the most popular, powerful and versatile programming language not just among professional developers but also for business analysts and users from various fields. While Python may be a simple language relative to other alternatives, its power derives from the vast realms of open-source frameworks available for users from various fields where, for example, machine learning (ML) or process optimization matter, thereby making it a formidable tool. Hence, getting familiar with it would pave the way for the future career for most of students.

IDSC 4444: Descriptive and Predictive Analytics (Fall 2020, Spring 2021)

Instructor, Carlson School of Management, University of Minnesota, 2021

In a world of ever growing information sources, any student of business should be equipped with the ability to analyze data to produce actionable insights. Equally important is the capacity to understand such analysis and to present it to key stakeholders. IDSc 4444 offers an introduction to basics of data manipulation, visualization and analysis for business intelligence.

MSBA 6441: Causal Inference via Econometrics and Experimentation (Spring 2021)

Teaching Assistant, Carlson School of Management, University of Minnesota, 2021

MSBA 6441 is intended to help students obtain skills in data analysis, with the following specific goals: to familiarize you with the process of assembling and analyzing a dataset to address a business problem; to introduce the notion of an “experiment” and the distinction between correlation and causation, in data; to explore statistical techniques that can be used with observational data to achieve reliable causal inferences, in the absence of experiments; to further increase your level of comfort working with R.

IDSC 4210: Interactive Data Visualization for Business Analytics (Spring 2020)

Teaching Assistant, Carlson School of Management, University of Minnesota, 2020

IDSC 4210 is an elective course for the undergraduate Business Analytics minor at the Carlson School of Management. It focuses on the fundamental and widely used exploratory data analysis technique of interactive visualization that is integral to modern business analytics.

MSBA 6410: Exploratory Data Analytics and Visualization (Fall 2019)

Teaching Assistant, Carlson School of Management, University of Minnesota, 2019

MSBA 6410 is a required course for the M.S. in Business Analytics program. This course is designed to prepare aspiring data scientists for the rapidly changing digital environment faced by companies and their need to discover novel and actionable patterns, enabling data-driven decision making.

IDSC 6050: Information Technologies and Solutions (Fall 2018)

Teaching Assistant, Carlson School of Management, University of Minnesota, 2018

This course is about current/emerging technologies that are used in modern net-enhanced organizations. Topics covered will include mobile communications, information security, cloud computing, blockchains, and emerging IT trends.

IDSC 4444: Descriptive and Predictive Analytics (Fall 2018,2022 Spring 2020,2021,2022)

Teaching Assistant, Carlson School of Management, University of Minnesota, 2018

In a world of ever growing information sources, any student of business should be equipped with the ability to analyze data to produce actionable insights. Equally important is the capacity to understand such analysis and to present it to key stakeholders. IDSc 4444 offers an introduction to basics of data manipulation, visualization and analysis for business intelligence.