#data_wrangling

Data Wrangling is the process of manipulating data by gathering, sorting, and transforming raw data in a manner suitable for providing insights, trends, patterns etc to make meaningful decisions.

Data Wrangling differs from Data Cleaning, in the sense that it goes beyond cleaning inaccurate, irrelavent and inconsistant data, and it thoroughly transforms it, reformats it and eventually prepares the data is a suitable format that can be used for analysis. In data analysis 80/20 rule is followed viz., data scientists typically spend 80% of their time ‘wrangling’ or preparing data and 20% of their time actually analyzing the data.

Data Wrangling Process:

Get an overview of data

Organize or Structure your data

Cleaning ie removing irrelevant and inconsistant data and errors.

Enriching data for providing a more holistic understanding of your customer needs.

Validating data and ensure that it maintains high standards

In conclusion, through our course, you can learn and understand the concepts and techniques, and prepare yourself for the role of data scientist / data analyst role. Joining our eduJournal's master class will enable you to get started right away. Enquire about our course today.