Pandas
Get started with data analysis using Pandas, the Python package that makes it easy to read, clean, understand, and plot your data.
What you should know
Course Content
Course length
12 hours
Number of lessons
151
Training materials
34 PDFs + Jupyter notebooks
Coding exercises
77
About the Course
“Data is the new oil,” the saying goes. Which means that working with data is a key part of the modern economy. But what tools can you use to work with data?
For millions of people, Pandas is the answer: This Python library is built on top of NumPy, meaning that it combines the speed of C with the friendliness of Python. But Pandas goes way beyond NumPy, providing a wide variety of methods that make it easy to read, clean, analyze, plot, and write data in a large number of formats.
This course introduces you to Pandas, and to the many ways you can use it in your day-to-day work. You’ll learn how Pandas works, how to use such techniques as broadcasting and boolean indexing, how to read data from a variety of formats and then how to clean that data once you’ve read it into memory. And you’ll see how Pandas works not only with numbers, but also with text — allowing for all sorts of interesting analysis.
This is the same course that I give at Fortune 500 companies around the world, including a large number of exercises and the Jupyter notebooks I used when preparing the course.
If the world of data analysis interests you, then this course will get you going in relatively short order.
What you’ll learn
- Series
- Data frames
- Boolean indexing
- Grouping
- Joining
- Plotting
- Working with missing data
- Cleaning data
- Strings
- Sorting
- Indexes and multi-indexes
Preview The Course
Instructor
This course, like all others on LernerPython, is taught by Reuven Lerner.
Pricing
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LernerPython
$40
per user / month
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- Members-only forums
- Python office hours, private lectures
LernerPython + Data
$50
per user / month
- Everything in Lerner Python Level
- Unlimited access to NumPy, Pandas, and SQL courses
- Pandas office hours and private lectures
- Bamboo Weekly Subscription ($100 Annual Value)
LernerPython
$400
per user / year
- Unlimited access to all Python, Git, Regexp courses
- Members-only forums
- Python office hours, private lectures
LernerPython + Data
$500
per user / year
- Everything in Lerner Python Level
- Unlimited access to NumPy, Pandas, and SQL courses
- Pandas office hours and private lectures
- Bamboo Weekly Subscription ($100 Annual Value)