Data Science

Python, Tableau, R, TensorFlow, PyTorch, D3.js


Recent Course Information

  • Lectures & Labs (2020 Spring): Mondays & Wenesdays 6:00 - 7:15 pm

This course emphasizes the importance of data-analytic thinking. It helps students view business problems from a data perspective and understand principles of extracting useful knowledge from data. Formulating data science solutions and evaluating the results requires mindful thinking. Students are expected to spend most time on understanding and processing the data. Next, they will consider appropriate methods to analyze and visualize data and provide useful knowledge for decision makers.

In this class, students will learn how to collect and process big data and learn a wide array of machine learning and visualization techniques. Students should be able to apply the techniques to our everyday life or solve business/research problems. For business students, Anaconda , Kaggle , Tableau , and R are popular options. For advanced users, D3.js will offer you interactive, flexible, and powerful to visualize data.

Project

Use machine learing and visualization techniques to solve business questions and provide insights to decision makers.



© 2020 by Dr. Chih Hao Ku at c.ku17@csuohio.edu