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.
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4.8 (359 reviews)
“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.
Cleaning and analyzing text dataProcessing dates and timesDefining object-oriented programming in PythonLoading lessons...
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our course, you'll master data skills and grow your career.
We believe so strongly in our courses that we offer a full satisfaction guarantee. If you complete a career course on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Impress employers by completing a capstone project and certifying it with an expert review.
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