Data Manipulation in Python: A Pandas Crash Course

Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.

What you’ll learn

Visualise data using methods from histograms to dimensionality reduction.
Create, save and serialise data frames in and out of multiple formats.
Clean and format data easily.
Detect and intelligently fill missing values.
Group, aggregate and summarise your data.
Merge data sources into a beautiful whole.
Pivot and cross-tabulate data like a pro.
Intersplice, summarise and investigate time series data.
Seamlessly work with data from different time zones.
Learn the common pitfalls and traps that ensnare beginners and how to avoid them.

Python students that want to learn how to manipulate data professionally.
Aspiring data analysts and scientists looking to upgrade their skillset.
People who would prefer to spend more time solving interesting problems than formatting data.
Old hands at programming that want to see what new methods and industry-leading tools are at their fingertips in the new decade.