Expand your Python for data engineering knowledge with this intermediate course. You’ll cover critical Python theory and key concepts surrounding basic analysis, cleansing, and manipulation of data.

Dig right into real-world data from the Museum of Modern Art. You’ll learn how to prepare text data, introduce uniformity into a messy dataset, and more. You’ll also look behind the scenes and discover object-oriented programming (OOP) and how it powers Python. And finally, you’ll learn new and exciting Python coding concepts for data engineering.

This course focuses on:

• Building proficiency in basic data analysis, cleansing, manipulation, and exploration’.
• Introducing new concepts like object-oriented programming, classes, and instances.
• Developing skill in the cumbersome task of working with dates and times in Python.

The Program

1. Cleaning and Preparing Data in Python.
2. Object-Oriented Python.
3. Working with Dates and Times in Python.
4. Guided Project: Exploring Hacker News Posts.

What will you learn

•  How to сlean text data.
•  How to process dates and times.
•  How to define object-oriented programming in Python.