Advanced Techniques in pandas
Corso
1848 Studenti già iscritti4.6
(125)
- 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.
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Ci sono 5 moduli in questo corso
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 ValuesAnteprima
- Calculating the Number of Missing ValuesAnteprima
- What Will We Do With the NaN Values?Anteprima
- How to Delete Only NaN Values?Anteprima
- Filling In the Missing ValuesAnteprima
- Managing Categorical VariablesAnteprima
- Checking the Column TypeAnteprima
- Managing an Incorrect ColumnAnteprima
- Renaming the ColumnAnteprima
Scelto dagli studenti delle migliori scuole
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
4.6
50 recensioni
5
70%
4
24%
3
6%
2
0%
1
0%
Visualizzando 3 di 50 recensioni
Mauro Iacuniello
4
Esaminato il Mar 30, 2025
Good courses!
Andrius Gedvilas
5
Esaminato il Mar 2, 2025
Gabriele Peyrano
5
Esaminato il Jan 24, 2025
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