- Data Handling and Manipulation

This session will introduce students to the foundational aspects of data handling in Python. Students will learn about the different types of data that are important in data science, and they will explore essential operations like arrange, group-by, filter, select, and join. By the end of this session, students should have a solid understanding of primary data manipulation techniques, setting the stage for more advanced subjects.

Session 2: Data Handling and Manipulation I (Lecture)

In this session, we’ll explore the foundational aspects of data handling. Key takeaways include:

• Data Manipulation: Learn essential operations like arrange, group-by, filter, select, and join, preparing data for analysis. Notebook: Python Data Manipulation

By the end, students should have a solid understanding of primary data manipulation techniques, setting the stage for more advanced subjects.

Exercises

• Notebook: Python DS Handbook, C.2-3 exercises

• Notebook: Pandas exercises

• Notebook: Netflix Pandas exercises

• Notebook: HR Attrition Assignment

Here, you will find the answers to the exercises:

• Notebook: Python DS Handbook, C.2-3 exercises and solutions

• Notebook: Pandas exercises and solutions

• Notebook: HR Attrition Assignment solutions

• Notebook: Netflix Pandas exercise solutions

Tutorial - Assignment Examples

• Notebook: EDA Assignment Example - Policing

Further studies

Recommended DataCamp courses

• Introduction to Python
• Intermediate Python

Recommended readings

• Python fo Data Science Handbook (VanderPlas, 2016), Chapter 2-3