Essential Guide to Python Pandas

Essential Guide to Python Pandas, available at $64.99, has an average rating of 4.6, with 18 lectures, 7 quizzes, based on 96 reviews, and has 5359 subscribers.

You will learn about Describe the Anatomy and main components of Pandas Data Structures. Understand Pandas Data Types and the correct use case for each type. Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries etc Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more Merge & Join multiple datasets into Pandas DataFrames Perform Data Summarization & Aggregation within any DataFrame Create different types of Data Visualization Apply all the Pandas knowledge you have learned in this course to a real-world Data Analysis Project to investigate COVID-19 infection This course is ideal for individuals who are This course is for aspiring data professionals and Python developers who want to learn how to process data in Pandas. It is particularly useful for This course is for aspiring data professionals and Python developers who want to learn how to process data in Pandas.

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Summary

Title: Essential Guide to Python Pandas

Price: $64.99

Average Rating: 4.6

Number of Lectures: 18

Number of Quizzes: 7

Number of Published Lectures: 17

Number of Published Quizzes: 7

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 24

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Describe the Anatomy and main components of Pandas Data Structures. Understand Pandas Data Types and the correct use case for each type.
Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries etc
Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types
Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more
Merge & Join multiple datasets into Pandas DataFrames
Perform Data Summarization & Aggregation within any DataFrame
Create different types of Data Visualization
Apply all the Pandas knowledge you have learned in this course to a real-world Data Analysis Project to investigate COVID-19 infection

Who Should Attend

This course is for aspiring data professionals and Python developers who want to learn how to process data in Pandas.

Target Audiences

This course is for aspiring data professionals and Python developers who want to learn how to process data in Pandas.

Welcome to our Pandas crash course! This course is designed to provide you with a practical guide to using Pandas, the popular data manipulation library in Python. We’ve included real-life examples and reusable code snippets to help you quickly apply what you learn to your own data analysis projects.

Throughout this course, you will learn how to:

Describe the Anatomy of Pandas Data Structures. This includes Pandas DataFrames, Series, and Indices.
Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries and JSON format, web scraping, and more.
Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types.
Understand Pandas Data Types and the correct use case for each type.
Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more.
Merge & Join multiple datasets into Pandas DataFrames
Perform Data Summarization & Aggregation within any DataFrame
Create different types of Data Visualization
Update Pandas Styling Settings
Conduct a Data Analysis Project using Pandas library to collect and investigate COVID-19 infection, and the consequent lockdown in different countries.

In addition to the course materials, you’ll also have free access to a Jupyter Notebook with all of the code examples covered in this course, as well as a free e-book in PDF format. By the end of this course, you’ll have a solid understanding of how to use Pandas to perform data manipulation tasks and analyze data.

Course Curriculum

Chapter 1: Before We Start

Lecture 1: Course Resources – Read Me

Chapter 2: Lesson 1 – Getting Started

Lecture 1: Getting Started with Pandas

Chapter 3: Lesson 2 – Getting Data into and from Pandas

Lecture 1: What is Pandas IO

Lecture 2: Working with Python Native Data Structures

Lecture 3: Working with Tabular Data Format

Lecture 4: Working with API Data

Lecture 5: Working with Web Data

Chapter 4: Lesson 3 – Exploring Data Objects

Lecture 1: How to Examine my Data

Lecture 2: Exploring Data Objects

Chapter 5: Lesson 4 – Data Cleaning with Pandas

Lecture 1: Data Cleaning with Pandas

Chapter 6: Lesson 5 – Merging & Joining Data

Lecture 1: Intro to Merging and Joining

Lecture 2: Concat Function

Lecture 3: Merge Function

Chapter 7: Lesson 6 – Data Accessing & Aggregation

Lecture 1: Data Accessing & Aggregation

Chapter 8: Lesson 7 – Pandas Data Visualization

Lecture 1: Intro to Data Visualization

Lecture 2: Pandas Data Visualization

Chapter 9: Lesson 8 – Pandas Analysis Project

Lecture 1: Pandas Analysis Project

Instructors

Dr. Ali Gazala
Senior Data Scientist, Online Educator
Aimei Zhu
Data Analyst and Video Maker

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 5 votes
4 stars: 26 votes
5 stars: 63 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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