Exploring Data with Python and Pandas

Exploring Data with Python and Pandas

Learning Objective

Understand the basics of data analysis in Python using Pandas library.

What do you already know about Python and data analysis?

Introduction to Python and Pandas

Overview of Python programming language and the Pandas library for data analysis.

Setting Up the Environment

Guide on how to install Python, Jupyter Notebook, and Pandas library.

Importing and Exploring Data

Demonstration of how to import a dataset and explore its contents using Pandas.

Data Manipulation with Pandas

Explanation of basic data manipulation techniques such as filtering, sorting, and grouping.

Data Visualization with Pandas

Introduction to visualizing data using Pandas' built-in visualization capabilities.

Practical Exercise

Hands-on exercise to apply Python and Pandas skills to analyze a real-world dataset.

Conclusion and Next Steps

Recap of key takeaways and suggestions for further learning in Python and data analysis.

Write down 3 things you learned in this lesson.

Have students enter three things they learned in this lesson. With this they can indicate their own learning efficiency of this lesson.

Write down 2 things you want to know more about.

Here, students enter two things they would like to know more about. This not only increases involvement, but also gives them more ownership.

Ask 1 question about something you haven't quite understood yet.

The students indicate here (in question form) with which part of the material they still have difficulty. For the teacher, this not only provides insight into the extent to which the students understand/master the material, but also a good starting point for the next lesson.