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
- 3.54 Calificación
- 16002 Estudiantes
- 4 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
3.6
Course Rating
Reviews
Oleksandr Velychko
15-10-2020
should tell more about dealing with outliers..
Khaled Amrouni
06-10-2020
Good Work!