Exploring Data with Python

Learn the fundamentals of Exploratory Data Analysis (EDA) using Python, a crucial skill in modern data science. We will cover essential libraries like Pandas, NumPy, and Matplotlib to summarise data, uncover patterns, and visualise insights. By the end, you will be able to confidently perform basic data exploration, ask the right questions of a dataset, and prepare data for further analysis.

Points to Remember:

• Do actively participate and have Python installed beforehand.

• Do bring your curiosity and a willingness to explore.

• Don't worry if you are new to data science concepts or yet to start

Key Takeaways

• Master EDA Foundations: visualize, and interpret datasets using essential Python libraries such as Pandas, NumPy, and Matplotlib.

• Develop the ability to uncover patterns, identify anomalies, and derive meaningful insights that prepare your data for deeper analysis.

• Gain practical experience performing end‑to‑end exploratory analysis—even if you're new to data science—using simple, structured techniques.