Pandas First Steps
Kursus
360 Allerede tilmeldte studerende- 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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Der er 3 moduler i dette kursus
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?Forhåndsvisning
- SeriesForhåndsvisning
- Challenge: Creating a SeriesForhåndsvisning
- DataFrameForhåndsvisning
- Quiz: Creating a SeriesForhåndsvisning
- Quiz: Creating a DataFrameForhåndsvisning
- Adding a New ColumnForhåndsvisning
- Inserting a New ColumnForhåndsvisning
- Deleting a Row/ColumnForhåndsvisning
- Quiz: Matching the FunctionsForhåndsvisning
- Working with ColumnsForhåndsvisning
- Quiz: Extracting ColumnsForhåndsvisning
- iloc BasicsForhåndsvisning
- Challenge: Using ilocForhåndsvisning
- Viewing the DataForhåndsvisning
- Quiz: Using HeadForhåndsvisning
- Quiz: Head, Tail, and SampleForhåndsvisning
- Exploring the DatasetForhåndsvisning
- Column Names and Data TypesForhåndsvisning
- Finding Null ValuesForhåndsvisning
- Quiz: Identifying Null ValuesForhåndsvisning
- Challenge: Dropping Null ValuesForhåndsvisning
- Challenge: Filling Null ValuesForhåndsvisning
- Quiz: Null ValuesForhåndsvisning
- Describing the DataForhåndsvisning
- max() and min()Forhåndsvisning
- Quiz: Statistical OperationsForhåndsvisning
- sum() and count()Forhåndsvisning
- Unique ValuesForhåndsvisning
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