Learn Data Cleaning with Python
- 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:
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.
- This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.
- Syntax Errors06:32
- Irrelevant Data07:21
- Missing Data09:50
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.