Introduction to Statistical Consultants
Chan-Tung Ku
Educational Background
- Ph.D. program in Information Management at National Sun Yat-sen University.
- Statistical Modeling and Data Analysis
Statistical Softwares
- R
Steven Hsu
Educational Background
- Ph.D. program in Information Management at National Sun Yat-sen University.
- Statistical Modeling and Data Analysis
- AI and Machine Learning
Statistical Softwares
- R
Programming Languages
- Python
- R
Andrew
Educational Background
- PhD candidate in Organization Theory,NSYSU
- MBA in International Business (A+ Thesis, Valedictorian,NSYSU BBA in Business Management, Bishop’s University
Languages
- English (Native)
- French (Fluent)
- Chinese (Fluent)
Experience
- Research assistant to Dr. Thijs Velema, 2019-
- Research assistant to Dr. Yang Yu-Chen, 2018-2019
- Research assistant to Dr. Cheng-Hsien Li, 2017-2019
Consulting Services
- Clarifying statistical analysis issues in practical cases or research questions
- Experimental design and analysis
- Online questionnaire design and analysis
- Machine learning and natural language processing
- Online data collection and web scraping
- Data cleaning and integration
- Data visualization using graphics and network diagrams
- Text mining and content analysis
- Designing custom graphical user interfaces and web applications
Statistical Softwares
- Linux & Windows
- Visual Studio Code
- Rstudio
- Mplus
- SmartPLS
- SPSS
Programming Languages
- Python (Selenium, Requests, ScraPy, Matplotlib, NumPy, Pandas, PIL, Scikit-learn, NLTK, Tkinter, Win32API, PyAutoGUI, OpenCV, PIL, Tesseract OCR, Flask)
- R (R Markdown, ggplot2, dplyr, JiebaR, Quantmod, RQDA, RSQLite, Zoo, Rpart, XGBoost)
- HTML/CSS
- JavaScript
- SQL
Class Location
經歷
- Research assistant to Dr. Thijs Velema, 2019-
- Research assistant to Dr. Yang Yu-Chen, 2018-2019
- Research assistant to Dr. Cheng-Hsien Li, 2017-2019
- 釐清實務案例或研究問題之統計分析議題
- 實驗設計與分析
- 在線問卷設計與分析
- 機器學習和自然語言處理
- 在線數據收集和網絡抓取
- 數據清理和整合
- 使用圖形和網絡圖的數據可視化
- 文本挖掘和內容分析
- 設計自定義圖形用戶界面和
- Web 應用程序
- Linux & Windows
- Visual Studio Code
- Rstudio
- Mplus
- SmartPLS
- SPSS
- Python (Selenium, Requests, ScraPy, Matplotlib, NumPy, Pandas, PIL, Scikit-learn, NLTK, Tkinter, Win32API, PyAutoGUI, OpenCV, PIL, Tesseract OCR, Flask)
- R (R Markdown, ggplot2, dplyr, JiebaR, Quantmod, RQDA, RSQLite, Zoo, Rpart, XGBoost)
- HTML/CSS
- JavaScript
- SQL
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