Advanced Techniques in pandas
Kursus
90 Allerede tilmeldte studerende- Understand efficient indexing and selection techniques for data manipulation.
- Become proficient with conditional data extraction and data set condition application.
- Gain expertise in aggregating data, managing group operations and interacting with complex grouping methods.
- Acquire proficiency in preprocessing data, pivot table management, and handling missing values.
Udstyr din virksomhed med banebrydende teknologi Data og KI erfaring.
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Der er 5 moduler i dette kursus
This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.- Checking for Missing ValuesForhåndsvisning
- Calculating the Number of Missing ValuesForhåndsvisning
- What Will We Do With the NaN Values?Forhåndsvisning
- How to Delete Only NaN Values?Forhåndsvisning
- Filling In the Missing ValuesForhåndsvisning
- Managing Categorical VariablesForhåndsvisning
- Checking the Column TypeForhåndsvisning
- Managing an Incorrect ColumnForhåndsvisning
- Renaming the ColumnForhåndsvisning
Udvalgt af studerende fra de allerbedste skoler
Hvorfor folk vælger Codefinity til deres karriere
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.
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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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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.
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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.
Studerendes anmeldelser
4.5
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5
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4
50%
3
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Keston Maugé
5
Anmeldt den May 4, 2024
ease of explanation and working examples on the python notepad
4
Anmeldt den Apr 3, 2024
El material es en general bueno, aunque hay traducciones que no generan el resultado esperado. Tal vez para alcanzar el máximo de la calificación, se debe revisar ese material que muchas veces lleva al error. Lo demás, muy bien.
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