Introduction
- Introduction
Standardisation
- Standardisation
Syntax Errors
- Syntax Errors
Irrelevant Data
- Irrelevant Data
Duplicates
- Duplicates
Missing Data
- Missing Data
Outliers
- Outliers
What you'll learn
- 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.
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.
The University of Sheffield
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About the instructors
- 4.21 Calificación
- 26388 Estudiantes
- 5 Cursos
Valentine Mwangi
Data Science Curriculum Designer
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.
Student feedback
4.23
Course Rating
Reviews
Rodolfo Teruel Jr
05-04-2024
Informative but the audio is not good.
Pojawan Rangkaew
22-11-2023
Very useful for beginner like me