Pandas for Querying Data: Fast, Clear, and Practical

Learn to query data with Pandas quickly and clearly in a course designed to maximize understanding & long-term retention

What you'll learn
- Understand the main types of Pandas objects: DataFrame, Series and Index
- Read data from any source with a CSV file as an example
- Learn the related NumPy background and understand the connection between Pandas and NumPy
- Accomplish all the standard querying tasks: sort, filter, aggregate, group, join, rank, use set operations
- Master modifications, including full column manipulations
- Learn how to work with strings and dates
- Learn how to handle missing values

Requirements
- Basic knowledge of Python is required
- Related NumPy background is provided in the course
- External monitor advised, not meant to be viewed on a smartphone or iPad

Description
This course teaches you the essential principles of Pandas — in minimum time and with maximum clarity.

Instead of overwhelming you with introductions of input data for every example, watching the instructor type, and exhaustive coverage of every feature in the library, the course focuses on the principles underlying all work with Pandas, as well as the small set of tools that matter most when querying real data in real projects: sorting, filtering, aggregating, grouping, joining, and ranking datasets. You will also understand the principles of indexing, modifying data, working with strings and dates, and handling missing values.

The lessons are short, well-structured, and easy to navigate. Slides follow the same clear and consistent format: the code on the left, the data it operates on the right, so you always see what’s happening and why. Every lesson comes with a Google Colab notebook, and each code example has a three-letter content ID that lets you find it quickly in the notebook and in questions and answers.

This is not the kind of course that spoon-feeds information. It expects you to pause occasionally, think through an example, and play with it in Google Colab. That’s what leads to understanding and long-term retention.

If you appreciate clarity, structure, and respect for your time, this course is for you. By the end, you’ll be able to query data in Pandas confidently and efficiently.

Who this course is for:
- Aspiring data scientists, software developers and entrepreneurs who need to query data from Python
- Learners who value their time and hate tutorial hell
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