SKILL PATH
PYTHON BASICS FOR DATA ANALYSIS
Python is one of the most-used programming languages in the data analysis world. It’s an easy language to start learning, and it’s highly useful for a variety of data skills applications. If you can use Excel, then you can use Python. Work better and faster with these Python fundamentals.
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3
Beginner
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SKILL PATH: PYTHON BASICS FOR DATA ANALYSIS
Here's what you'll learn to do.
Even if you’ve never written a line of Python code, we’ll get you up to speed fast. Python is one of the most popular programming languages for data scientists, and with this path, you’ll build the foundation for a powerful new tool in your skill set.
- Python programming fundamentals
- How to use Jupyter notebooks
- How to work with text, date, and time data
- The basics of object-oriented programming in Python
Course Structure: Python Basics for Data Analysis
Learn the fundamentals of programming in Python and the fundamentals of data science. Learn how to use Jupyter Notebook, and how to build a portfolio project.
Learn how to clean and analyze text data, about object-oriented programming in Python, and how to work with dates and times.
It's not just what you learn,
but how you learn it.
Retain
Learn by writing and validating code,
not by watching videos.
Reinforce
Challenge yourself with dozens of
practice problems.
Reference
Revisit what you've learned anytime you need a refresher.
Join over 1 million data learners!

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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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Start learning Python Basics for Data Analysis today!
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