Learn Data Cleaning with Python

Perform Data Cleaning Techniques with the Python Programming Language. Practice and Solution Notebooks included.
Rating: 4.0 out of 5 (99 ratings)
5,642 students
Learn Data Cleaning with Python
Rating: 4.0 out of 5 (99 ratings)
5,642 students
I can standardize a dataset by fixing inconsistent column names.
I can perform data type conversion to fix inaccurate data.
I can find and fix syntax errors in a dataset.
I can find and fix typos in a dataset.
I can deal with irrelevant data in a dataset.
I can remove any duplicate records in a dataset.
I can find and deal with missing data in a dataset.
I can find and deal with outliers in a dataset.

Requirements

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

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

  • I can standardize a dataset by fixing inconsistent column names.

  • I can perform data type conversion to fix inaccurate data.

  • I can find and fix syntax errors in a dataset.

  • I can find and fix typos in a dataset.

  • I can deal with irrelevant data in a dataset.

  • I can remove any duplicate records in a dataset.

  • I can find and deal with missing data in a dataset.

  • I can find and deal with outliers in a dataset.


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
7 sections • 7 lectures • 50m total length
  • Introduction
    03:11
  • Standardisation
    09:06
  • Syntax Errors
    06:32
  • Irrelevant Data
    07:21
  • Duplicates
    06:04
  • Missing Data
    09:50
  • Outliers
    08:16

Instructor
Data Science Curriculum Designer
Valentine Mwangi
  • 3.9 Instructor Rating
  • 250 Reviews
  • 14,828 Students
  • 3 Courses

I am a data science curriculum designer with experience in designing and facilitating data science workshops for boot camps. I will be taking you through introductory courses in data science with the goal of ensuring that your experience during this time will help you easily get started with data science. I believe that by the end of these courses the impact you will create will bring good to society and humanity overall.