Students will become acquainted with the versatile Jupyter Notebooks platform for Python programming. We will begin by exploring Python's fundamental data structures, including lists, dictionaries, and tuples. Next, we will delve into text analysis by learning how to read, filter, and convert text files, as well as work with folders. By introducing the Natural Language Toolkit (NLTK) library, students will gain hands-on experience in processing and analyzing textual data. Building upon the established foundation, next we will focus on data manipulation and visualization using the powerful libraries Pandas and Matplotlib. Students will learn how to load, filter, and transform data using Pandas DataFrames, as well as perform basic statistical analysis. We will then explore data visualization techniques, such as bar charts, scatter plots, and line graphs, by leveraging the capabilities of the Matplotlib library.