Pandas Practical Course for Intermediate

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Advanced Techniques in pandas

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.

Course

Gain insight into a topic and learn the fundamentals

4.5

(2)

Intermediate

Recommended experience

33 chapters

Flexible schedule

Learn at your own pace

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Outcomes

Learning outcomes

Modules

Testimonial

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What you will learn

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.

Details to know

Earn a career certificateAdd to your LinkedIn profile

Assessments33 assignments

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There are 6 modules in this course

This section will teach you how to output specific columns by their titles or indices. Also, you will get acquainted with the ways you can select rows by indices.

Here, you will learn how to extract data that has specific conditions. Also, you will learn how to combine them and even create your own.

In this section, you will expand your knowledge on setting different data conditions. You will learn to check if your data is in a defined list of values or between two values. You will also learn how to find the largest and smallest values.

This section is one of the most fascinating of the course. Here, you will learn how to group data in different ways. It will help you work as a data analyst to find out information on specific data groups.

This section is one of the most significant for a data analyst because if the data contains missing data values in the incorrect format, it will be impossible to work with. Thus, you will learn how to deal with such inappropriate values here.

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Why people choose Codefinity for their career

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.

Learner reviews

4.5

2 reviews

50%

Showing 2 of 2 reviews

Keston Maugé

Reviewed on May 4, 2024

ease of explanation and working examples on the python notepad

Reviewed on 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.

Recommended if you're interested in learning Python

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