Data Analytics Chapter – Python Basics and Data Science Session
Last Friday, the Data Analytics Chapter at Uganda Christian University held an engaging session on Python programming basics and its application in data science led Nsubuga Cemptus. The session was highly interactive, with members eagerly participating in discussions and hands-on exercises. The focus was on introducing Python as a beginner-friendly language and then transitioning into data science techniques using libraries like NumPy and Pandas.
Members learned how to manipulate data, perform basic analysis, and create visualizations. Throughout the session, participants were guided through practical examples, ensuring that everyone grasped core concepts such as data structures, loops, and functions in Python. The session also touched on how Python can be used for data wrangling and basic statistical analysis, which are critical skills in data science.
The atmosphere was vibrant, with members asking insightful questions and collaborating on exercises. Many participants left with newfound confidence in their ability to write Python code and use it effectively in data science projects.
Overall, it was a rewarding and educational session that highlighted the growing importance of Python in the data analytics field, leaving attendees excited for future sessions.
