Advanced Techniques in pandas
Curso
180 Estudiantes ya inscritos- 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.
Equipa tu negocio con tecnología de punta Datos e IA experiencia.
Compártelo en redes sociales y en tu evaluación de desempeño
Hay 5 módulos en este curso
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 ValuesVista previa
- Calculating the Number of Missing ValuesVista previa
- What Will We Do With the NaN Values?Vista previa
- How to Delete Only NaN Values?Vista previa
- Filling In the Missing ValuesVista previa
- Managing Categorical VariablesVista previa
- Checking the Column TypeVista previa
- Managing an Incorrect ColumnVista previa
- Renaming the ColumnVista previa
Elegido por estudiantes de las mejores escuelas
Por qué la gente elige Codefinity para su carrera

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.
Reseñas de estudiantes
4.5
2 reseñas
5
50%
4
50%
3
0%
2
0%
1
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Mostrando 2 de 2 reseñas
Keston Maugé
5
Revisado en May 4, 2024
ease of explanation and working examples on the python notepad
4
Revisado en 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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