Course · Beginner
Intermediate Python for Data Engineering
In this course, you'll learn critical Python theory and key concepts for basic analysis, cleaning, and manipulation of data.
- Beginner friendly
- 5 hrs
- 3 lessons
- 1 project
- Premium
Course overview
Extend your Python skills for data engineering by working with real datasets, text processing, and object-oriented programming.
What's inside
3 lessons · 1 project
- 01 75 minWorking with Dates and Times in Python
Learn how to work with and analyze date and time data.
- 02 62 minGuided Project: Exploring Hacker News Posts Project
For this project, we'll step into the role of data analysts to explore Hacker News submissions, analyzing trends using skills in string manipulation, object-oriented programming, and date handling in Python.
- 03 89 minCleaning and Preparing Data in Python
Learn how to clean and prepare text data in Python.
- 04 80 minObject-Oriented Python
Learn about using objects, classes, methods, and attributes.
Part of these paths
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Build confidence with our in-depth projects, and show off your data skills.
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Work with real data from day one with interactive lessons and hands-on exercises.
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Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.
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