When your data is prepared effectively, all other aspects of analysis and performance become more efficient. This course lets you explore the different options for arranging and cleansing your data, from joins and unions to handling null and duplicate values.
Intermediate 13 Lessons 150 Minutes CPD Credits
About This Course
Ensure your data is in the best shape possible. In this course, you will learn the different methods for arranging and cleaning your data using Python.
You will learn to bring together multiple datasets using joins and unions. You will use some of Python’s tools for cleansing your data. You will also touch on some advanced functionality, like error handling.
By the end of this course, you will be adept at wrangling data together, arranging and cleaning said data for more streamlined, efficient analysis.
Learn about types of joins
Join and union separate dataframes
Fix data type/range errors
Fix null values
Remove duplicate values
Fix incorrect value errors