Data Manipulation in Python: A Pandas Crash Course

• 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.

Who this course is for:

• 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.