Pandas First Steps
Course
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- 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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Alain Teboh
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Reviewed on Jun 23, 2025
So far the notes are well crafted to facilitate understanding of lesson.
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Reviewed on Jun 23, 2025
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Reviewed on May 20, 2025
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