Learn Data Cleaning with Python

Perform Data Cleaning Techniques with the Python Programming Language. Practice and Solution Notebooks included.
Free tutorial
Rating: 3.9 out of 5 (223 ratings)
9,113 students
50min of on-demand video
English
English [Auto]

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.

Instructor

Data Science Curriculum Designer
Valentine Mwangi
  • 3.8 Instructor Rating
  • 479 Reviews
  • 21,553 Students
  • 4 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.

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