Pandas First Steps
Course
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(498)
- Gain proficiency in pandas data structures like DataFrame and Series.
- Understand statistical functions to compute correlations, modes, medians, and extreme values in datasets.
- Develop techniques for managing missing values, including strategies for manipulation and removal.
- Acquire knowledge of data file manipulation with pandas, focusing on CSV and TXT formats.
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There are 3 modules in this course
Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.- What is pandas?Preview
- SeriesPreview
- Challenge: Creating a SeriesPreview
- DataFramePreview
- Quiz: Creating a SeriesPreview
- Quiz: Creating a DataFramePreview
- Adding a New ColumnPreview
- Inserting a New ColumnPreview
- Deleting a Row/ColumnPreview
- Quiz: Matching the FunctionsPreview
- Working with ColumnsPreview
- Quiz: Extracting ColumnsPreview
- iloc BasicsPreview
- Challenge: Using ilocPreview
- Viewing the DataPreview
- Quiz: Using HeadPreview
- Quiz: Head, Tail, and SamplePreview
- Exploring the DatasetPreview
- Column Names and Data TypesPreview
- Finding Null ValuesPreview
- Quiz: Identifying Null ValuesPreview
- Challenge: Dropping Null ValuesPreview
- Challenge: Filling Null ValuesPreview
- Quiz: Null ValuesPreview
- Describing the DataPreview
- max() and min()Preview
- Quiz: Statistical OperationsPreview
- sum() and count()Preview
- Unique ValuesPreview
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The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

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My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

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Liz D
5
Reviewed on Jul 18, 2025
Great intro to pandas! Thank you for the easy format to test my knowledge and all the sample data
Karyn Walden-Forrest
5
Reviewed on Jul 14, 2025
bob bob
5
Reviewed on Jul 10, 2025
Recommended if you're interested in learning Python
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