Learn Data Wrangling with Python

Perform Data Wrangling with the Python Programming Language. Practice and Solution Notebooks included.


  • You will need to have basic python programming proficiency.
  • You will need a modern browser i.e. Google Chrome or Mozilla Firefox.


By the end of this course, you will be able to:

  • Load a local dataset from CSV and Excel files.
  • Import a dataset from CSV and Excel files via a URL.
  • Determine the size of a dataset.
  • Explore the first and last records of a dataset.
  • Explore the datatypes of the features of a dataset.
  • Check for missing data in a dataset.
  • Deal with missing data in a dataset.
  • Filter for records with certain values from a dataset.
  • Filter records with multiple filters from a dataset.
  • Filter for records from a dataset through the use of conditions.
  • Perform sorting in ascending and descending order.
  • Split a column in a dataset.
  • Merge data frames to form a dataset.
  • Concatenate two columns to one column in a dataset.
  • Export a dataset in CSV and Excel formats.

Who this course is for:

  • This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.

Course content

14 sections • 14 lectures • 1h 23m total lengthExpand all sections

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