Course

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.

Enroll for free

Part of the Data Engineer (Python) path.

4.8 (359 reviews)

6,323 learners enrolled in this course.

Beginner friendly
6 hours
Self paced
4 lessons
1 project

“You get small lessons and can practice skills right away. It’s so convenient. Committing to Dataquest was an easy decision.”

Huyen Vu

Data Engineer @Solita

Intermediate Python for Data Engineering

Enroll For Free

Course overview

In this course, you’ll expand your Python for data engineering knowledge. Using 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 explore object-oriented programming (OOP) and how it powers Python. Finally, you’ll learn new and exciting Python coding concepts for data engineering.
Best of all, you’ll learn by doing – you’ll practice and get feedback directly in the browser.

Key skills

Cleaning, manipulating, and exploring data
Using object-oriented programming, classes, and instances
Processing dates and times in Python

Course outline

Intermediate Python for Data Engineering [4 lessons]

Cleaning and Preparing Data in Python 2h

Lesson Objectives

Prepare text data in Python
Employ basic data cleaning
Resolve errors during data cleaning

Object-Oriented Python 2h

Lesson Objectives

Define a set in Python
Define object-oriented programming
Identify key concepts like classes, instances, attributes, and methods
Create a class

Working with Dates and Times in Python 2h

Lesson Objectives

Parse dates from strings using the datetime library
Analyze dates and times
Format dates using strftime

Guided Project: Exploring Hacker News Posts 2h

Lesson Objectives

Explore data CSV data using loops
Clean data using string methods
Process dates in python

Projects in this course

Exploring Hacker News Posts

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.

View Project

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

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Dataquest for career advancement

4.85

Dataquest rating

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for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“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.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”