Skill Path: Data Cleaning with Python

In this path, we cover the essential Python programming skills required to get started with data cleaning in Python. From there we'll use pandas and NumPy, the two most popular open-source Python libraries for data manipulation and analysis. We'll also learn the fundamentals of data visualization, a useful tool for identifying quality issues with data. From there we use fundamental tools for cleaning data in Python. Topics include manipulating data, combining data, reshaping data, and handling missing values.

COURSES
7
PROJECTS
5
DIFFICULTY
Beginner
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Learn Data Cleaning with Python

Here's what you'll learn to do.

Dataquest Skill Paths teach you job-ready skills that can be immediately applied to your current or future data roles and projects.

  • The fundamentals of programming in Python
  • How to clean and visualize data
  • How to combine, transform, and reshape data
  • Strategies for working with missing data


Course Structure:

Data Cleaning with Python

Python for Data Science: Fundamentals

Learn the basics of Python programming and data science.

Python for Data Science: Intermediate

Learn important tools for your Python data science toolbox.

Pandas and NumPy Fundamentals

Learn how to analyze data using the pandas and NumPy libraries.

Data Visualization Fundamentals

Learn the fundamentals of data visualization in Python by striking a good balance between graph interpretation (statistics) and tooling (Matplotlib and Seaborn).

Data Cleaning and Analysis

Learn data cleaning and analysis with pandas, how to combine data sets, and how to clean string and handle missing data.

Learn how to use regular expressions to clean and manipulate text data, how to use lambda functions and lists comprehension with pandas, and strategies for working with missing data.

Learn to hone your data cleaning skills with a data cleaning project from start to finish.

It's not just what you'll learn
but how
you'll apply it.

97% of learners recommend Dataquest's teaching method.

Retain Data Skills

Retain

Learn by writing and validating code, not by watching videos.

Reinforce Data Learning

Reinforce

Challenge yourself
with dozens of practice problems.

Realize your goals

Realize

Apply your new skills to projects with complete confidence.

Connect with a community of data learners

Relate

Get support and feedback from the Dataquest community.

Join over 1 million data learners!

Rated 4.85/5 on Switchup + Voted Best Bootcamp Winner of 2021

David Rodrigues @davidorodrigues

I left datacamp for @dataquestio. 10x better I wish I had started Dataquest 2 years ago.

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Lysdel Tellez @LysdelTellez

It’s great! So many options; R, SQL, Python. And they take you on guided projects where you understand the reasoning behind the code and are able to apply it to future projects.

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Cesar Jr @ceeezthedata

I've been learning data science with Dataquest — and it's a game changer! No boring videos or fill-in-the-blank exercises. Try it for yourself!

2

5

14

ChukwuSom @legally_6lack 

Studying with @dataquestio has been the best decision I have made this year.

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Ijeoma Benson @ijeybenson

If you want to get into a career in data, choose DQ. The education they offer would stretch you and prepare you for real life work.

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Matthew Madden @mattmadden

I've found @dataquestio super helpful in levelling up my data skills. #100daysofcode #DataScience 

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We Learn Better Together

When you join Dataquest, you join a community of committed learners.


Get fast help with your technical questions 


Share your projects and get supportive feedback


Chat one-on-one with developing data experts


Get career tips from career moderators


Achieve your data career goals with confidence.

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