This workshop will introduce the essentials of data science, emphasizing practical applications and hands-on exercises. We will cover the use of Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. Participants will learn how to import, clean, manipulate, and visualize data sets effectively.

Workshop Outline:

1. Introduction to Data Science and Python
2. Overview of NumPy: Array Operations, Indexing, and Functions
3. Introduction to Pandas: DataFrames, Reading Data, Basic Data Manipulation
4. Data Visualization with Matplotlib: Plotting Basics, Customization, Types of Plots
5. Hands-on Exercise: Data Cleaning and Analysis Project

Target Audience：

Undergraduate, Postgraduate, and PhD students across the university with basic Python knowledge.

Notice：

Please bring your own laptop for the hands-on exercises.

Please click HERE to reserve your seat!