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.
4.8 (359 reviews) 68,932 learners enrolled in this course.
“I like that Dataquest doesn’t leave out visual learners. It’s text-based, but it’s not just text — concepts are explained using illustrations and animations.”
This course builds upon Introduction to Python Programming, For Loops and Conditional Statements in Python, Dictionaries, Frequency Tables, and Functions in Python, and Python Functions and Jupyter Notebook. You’ll not only learn how to manipulate text, clean messy data, and more but also how to work with object-oriented programming concepts, dates, and times in Python.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
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.
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.
