Python for Data Science
- I completed the LinkedIn Learning module Python for Data Science Tips, Tricks, & Techniques. With this module I learned 12 tips to improve my Python skills. These methods included ingesting data, exploring data, and visualizing data. I learned how to work with JSON data, CSV files, and Parquet files. I also learned how to aggregate and export data in addition to creating charts using Python.
- I will use this activity in my future jobs if I am working on software development or if I am interacting with software engineers. I can use this module for simple data analysis, and I now have more experience using Python libraries. It is important to be familiar with a variety of coding languages since different companies and teams may use different languages.