Course · Beginner

Intermediate Python for Data Science

This course continues your Python for Data Science journey. You'll learn intermediate Python techniques to clean and analyze text data, and you'll learn Python concepts such as object-oriented programming. By the end, you'll have the essential skills you need to perform data analysis and data cleaning.

  • Beginner friendly
  • 8 hrs
  • 4 lessons
  • 1 project
  • Premium

Course overview

Strengthen your Python data science skills by cleaning text data, working with dates and times, and applying object-oriented programming concepts.

What's inside

4 lessons · 1 project

  • 01
    Python Data Analysis Basics

    Learn the fundamentals of data analysis in Python — and how to format text data.

    89 min
  • 02
    Cleaning and Preparing Data in Python

    Learn how to clean and prepare text data in Python.

    94 min
  • 03
    Object-Oriented Python

    Learn how to use objects, classes, methods, and attributes.

    83 min
  • 04
    Working with Dates and Times in Python

    Learn how to work with and analyze date and time data.

    94 min
  • 05
    Guided Project: Exploring Hacker News Posts Project

    For this project, we'll be data analysts exploring Hacker News posts. We'll use Python string manipulation, OOP, and date handling to analyze trends driving post popularity. Check out our Jupyter Notebook Guided Project if needed.

    100 min

The Dataquest guarantee

Career outcomes 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.

Satisfaction guarantee

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

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 your project portfolio

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

Challenge yourself with exercises

Challenge yourself with exercises

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

Showcase your path certification

Showcase your path certification

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

Grow your career with Dataquest.

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$30k
Average salary boost
for learners who complete a path
Aaron Melton
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
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
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!

Join 1M+ data learners on Dataquest.

  1. 1

    Create a free account

  2. 2

    Choose a learning path

  3. 3

    Complete exercises and projects

  4. 4

    Advance your career

Start the Intermediate Python for Data Science course

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