Some of the real-world problems can be solved by data science (as known as data-driven science), and a well-educated data scientist should be able to determine what problem can be solved by data science, and further develop corresponding data model or program code to solve it. The class helps to enhance your problem solving and analytical skills from the perspective of data science which includes data working process, analysis algorithms, and data visualization. As a class in commerce college, we will focus on FinTech related data and application, and Python programming language and certain packages (e.g., SciPy, Pandas, scikit-learn) are used.
This course starts from the basics of data science and leaves armed with practical experience extracting value from data. You will learn the theories and skills required for data analytics and proficiency with a complex ecosystem of tools and platforms. Students will need to demonstrate the data or the result of the analysis in a more visualized way to identify financial insights. Data science is an interdisciplinary field about scientific processes and extracting insight from data. Lectures cover certain important topics, such data collection, data in process, data cleaning, exploratory data analysis, analysis algorithms, security, and visualization, to make sure you could solve a real-world data problem.