In the “Pandas Essential Training (2017)” LinkedIn Learning module, I learned how to effectively use the Pandas library in Python for data manipulation and analysis. The course covered key topics such as importing and cleaning data, handling missing values, merging datasets, and performing various data transformations using DataFrames. I also learned how to leverage Pandas for time series analysis and data visualization. This training is highly relevant to my Management Information Systems (MIS) major, as data analysis is a core component of MIS. As an MIS student, I will often work with large datasets to inform business decisions, and understanding how to efficiently clean, manipulate, and analyze this data is essential. The Pandas skills I gained will be invaluable for processing and analyzing data in real-world scenarios, enabling me to generate insights that drive business strategies and improve decision-making.
