Pandas in Python - An Introduction to Structured Data Analysis In-Person
Pandas is a Python library specifically designed for working with structured data such as data organised in rows and columns, similar to spreadsheets like Excel.
Pandas is useful for students across all fields of study, offering a toolkit for efficiently managing and analysing various types of structured data regardless of academic discipline.
In this three-hour course, you will develop an introductory understanding of Pandas. By the end of the course, you will have gained insights into the following areas:
- The types of data Pandas can handle
- Importing and exporting data with Pandas
- Creating new datasets and subsets by filtering data
- Using Pandas for analytical purposes
- Creating simple plots
This course is aimed at students who are new to Pandas but already have an introductory understanding of Python, such as can be gained from our “Python for Absolute Beginners” courses. We expect you to be familiar with the concepts described here:
https://kubdatalab.github.io/python-for-absolute-beginners/
Note: Before the course, please download this dataset:
https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv
Related LibGuide: KUB Datalab by Christian Knudsen
- Date:
- 19/03/2024
- Time:
- 9:30 - 12:30
- Time Zone:
- Central European Time (change)
- Location:
- KUB Søndre Campus: Undervisningslokalet 1. sal
- Campus:
- KUB Søndre Campus, Karen Blixens Plads 7, 2300 Kbh. S
- Categories:
- Analysis Datalab English Visualisation
