As a data analyst, you’ll often need to work with files—whether it’s reading data from a CSV, writing output to an Excel file, or processing text files.

Concepts to Master:

• Reading and Writing Files: How to open, read, write, and close files in Python (e.g., CSV, Excel, and JSON).

  • Example: Use Python’s open() function to read in a dataset from a CSV file and process the data.

• Working with CSV Files: Python's csv module or the Pandas library makes it easy to handle CSV files.

  • Example: Reading a CSV file containing sales data, cleaning it, and exporting it to a new file.

Why This is Important for Data Analysis:
In real-world scenarios, data often comes from external sources such as databases or CSV files. Knowing how to import and export data efficiently is the first step to processing and analyzing it.