How to Apply Data Wrangling

Who should apply data wrangling?

Any person working with data to answer business questions should be aware of appropriate data wrangling skills and whether or not they can apply them. This includes relevant stakeholders, such as managers or project owners.

If we aspire to become data analysts, data scientists, data engineers, or machine learning engineers, we must learn how to apply data wrangling skills. This is because data projects require a degree of data manipulation before any analysis is carried out.

For data analysts and data scientists, data wrangling will apply when preparing data to create reports. For machine learning engineers, data wrangling will be applicable for preparing data to create machine learning models. Finally, data wrangling will be applicable for data engineers when creating data pipelines during the data transformation stage.

Data wrangling tools

This course will teach us how to apply data wrangling techniques using Python, a general-purpose programming language that many data engineers, analysts, and scientists work with.

But apart from Python, we can use many tools and programming languages to apply data wrangling techniques. Some of these tools include Talend, Alteryx, and Datameer, which are proprietary, while others, such as Data Wrangler and csvkit, are free for download and use.