Overview
Data import and export are processes that involve transferring data between different systems or formats. Data import is the process of bringing data into a data analysis tool or platform from an external source, such as a database, file, or web service. Data export, on the other hand, involves transferring data from the analysis tool to another destination, such as a file, database, or web service. Data import and export play a critical role in data wrangling because they enable data analysts to access and integrate data from various sources and prepare it for analysis. By importing data into a data analysis tool, analysts can combine data from different sources, perform transformations, and clean the data to remove inconsistencies, errors, and missing values.
In this course, you will:
- Understand the importance of data import and export in data analysis
- Recall the different file types that can be used to import and export data
- Apply data import and export techniques to different file types
- Assess the appropriateness of various data import and export techniques for specific data analysis tasks
Course Contents
1. Importing Data
- What is importing data?
- Why is it important?
- Importing data from Excel
- Importing data from CSV
- Importing data from JSON
- Importing data from XML
- Importing data from HTML
- Knowledge check
2. Exporting Data
- What is exporting data?
- Why is it important?
- Exporting data to JSON
- Exporting data to XML
- Exporting data to HTML
- Exporting data to Excel
- Exporting data to LaTex
- Knowledge check
