Python, Tableau, R, Hugging Face, TensorFlow, PyTorch, D3.js
Recent Course Information
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. Python has become essential for data preprocessing, analytics, visualization, and building LLM-powered applications.
In this class, students will learn how to collect and process large-scale 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 Hugging Face are popular options. For advanced users, D3.js will offer you interactive, flexible, and powerful to visualize data.
Project
Use machine learning and visualization techniques to solve business questions and provide insights to decision makers.