A DataCamp course on the library data analysts and scientists reach for daily. Over four hands-on chapters you import and inspect DataFrames, then subset, sort, group, aggregate and summarise real datasets. Practical and immediately applicable — a core skill for anyone doing data work in Python.
Good for: Learning pandas, the everyday tool for data work in Python.
Less suitable if: You do not know basic Python, or you do not work with data.
Skills you'll gain
pandasDataFramesData manipulationGrouping and aggregationData analysisPython
Is this course right for you?
A good fit if you…
You know a little Python
You do or will do data analysis
You want a core, practical skill
Consider something else if you…
You do not know basic Python
You do not work with data
You already use pandas fluently
Requirements: Basic Python.
Realistic time: Around 4 hours.
About this course
Data Manipulation with pandas teaches the library that data analysts and scientists reach for daily. Over four hands-on chapters you import and inspect DataFrames, then subset, sort, group, aggregate and summarise real datasets (think sales and weather data), finishing with simple visualisations.
What you'll learn
Import, inspect and subset pandas DataFrames
Filter and sort data by conditions
Group and aggregate to summarise datasets
Compute statistics across groups
Handle and combine multiple tables
Create quick visualisations from a DataFrame
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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