Pandas First Steps
Corso
360 Studenti già iscritti- 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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Ci sono 3 moduli in questo corso
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?Anteprima
- SeriesAnteprima
- Challenge: Creating a SeriesAnteprima
- DataFrameAnteprima
- Quiz: Creating a SeriesAnteprima
- Quiz: Creating a DataFrameAnteprima
- Adding a New ColumnAnteprima
- Inserting a New ColumnAnteprima
- Deleting a Row/ColumnAnteprima
- Quiz: Matching the FunctionsAnteprima
- Working with ColumnsAnteprima
- Quiz: Extracting ColumnsAnteprima
- iloc BasicsAnteprima
- Challenge: Using ilocAnteprima
- Viewing the DataAnteprima
- Quiz: Using HeadAnteprima
- Quiz: Head, Tail, and SampleAnteprima
- Exploring the DatasetAnteprima
- Column Names and Data TypesAnteprima
- Finding Null ValuesAnteprima
- Quiz: Identifying Null ValuesAnteprima
- Challenge: Dropping Null ValuesAnteprima
- Challenge: Filling Null ValuesAnteprima
- Quiz: Null ValuesAnteprima
- Describing the DataAnteprima
- max() and min()Anteprima
- Quiz: Statistical OperationsAnteprima
- sum() and count()Anteprima
- Unique ValuesAnteprima
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Perché le persone scelgono Codefinity per la loro carriera

Kwizera Mugisha
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.

Sherry Barnes-Fox
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.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Recensioni degli studenti
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Visualizzando 3 di 5 recensioni
5
Esaminato il Aug 20, 2024
the tasks are turning into useful examples
4
Esaminato il Jul 15, 2024
Nice work gg
5
Esaminato il Jun 23, 2024
very good i learned a lot and i can highly recommend this platform to everyone, who wants to learn coding
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