Python Pandas For Your Grandpa

Python Pandas For Your Grandpa, available at Free, has an average rating of 4.45, with 44 lectures, based on 219 reviews, and has 9163 subscribers.

You will learn about Python Pandas for data cleaning and wrangling Creating and manipulating Series Creating and manipulating DataFrames Advanced techniques like merging, reshaping, MultiIndexes, Categoricals, and Dates & Times This course is ideal for individuals who are Anyone with basic Python knowledge interested in learning Pandas for data wrangling or People interested in data science and machine learning It is particularly useful for Anyone with basic Python knowledge interested in learning Pandas for data wrangling or People interested in data science and machine learning.

Enroll now: Python Pandas For Your Grandpa

Summary

Title: Python Pandas For Your Grandpa

Price: Free

Average Rating: 4.45

Number of Lectures: 44

Number of Published Lectures: 28

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 28

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Python Pandas for data cleaning and wrangling
Creating and manipulating Series
Creating and manipulating DataFrames
Advanced techniques like merging, reshaping, MultiIndexes, Categoricals, and Dates & Times

Who Should Attend

Anyone with basic Python knowledge interested in learning Pandas for data wrangling
People interested in data science and machine learning

Target Audiences

Anyone with basic Python knowledge interested in learning Pandas for data wrangling
People interested in data science and machine learning

Wanna learn Pandas?

Then boy do I have good news for you! For three months I hid from my wife and responsibilities, slaving away making this course so that you could learn Python Pandas. In this course, I cover topics like

Importing and installing pandas
Series
DataFrames
Indexes (including MultiIndexes)
Reading and writing to CSV
Merge, Reshape, Aggregation operations
Dates & times
Missing values
Strings
Categoricals

including tons of examples, animations, and practice problems with detailed solutions. But rather than me drone on about the course, check out some of my free lectures in the course curriculum to see it for yourself!

Need help?

If you buy this course, you’ll have a commitment from me to help you understand any Pandas topics you might struggle with. I’m usually pretty quick to reply to questions.

Notes

This course was developed using Python 3.9.1 and Pandas version 1.2.0. If you’re on a later version, don’t worry – most of what I teach is unlikely to break.

Throughout this course, I use Google Colab as my IDE. You don’t need to use Google Colab, but if you want to, it’s a fantastic way to execute Python directly from your browser.

Also, you could take this course without knowing NumPy, but pre-existing knowledge of NumPy is preferred. After all, Pandas is built on top of it. And if you don’t know NumPy, check out my course Python NumPy For Your Grandma.

Course Curriculum

Chapter 1: 1. Introduction

Lecture 1: 1.1 Introduction

Lecture 2: PLEASE READ!

Chapter 2: Series

Lecture 1: 2.1 Series – Creation

Lecture 2: 2.2 Series – Basic Indexing

Lecture 3: 2.3 Series – Basic Operations

Lecture 4: 2.4 Series – Boolean Indexing

Lecture 5: 2.5 Series – Missing Values

Lecture 6: 2.6 Series – Vectorization

Lecture 7: 2.7 Series – apply()

Lecture 8: 2.8 Series – View vs Copy

Lecture 9: 2.9 Challenge – Baby Names

Lecture 10: 2.10 Challenge – Bees Knees

Lecture 11: 2.12 Challenge – Price Gouging

Lecture 12: 2.13 Challenge – Fair Teams

Chapter 3: 3. DataFrame

Lecture 1: 3.1 DataFrame – Creation

Lecture 2: 3.2 DataFrame – To And From CSV

Lecture 3: 3.3 DataFrame – Basic Indexing

Lecture 4: 3.4 DataFrame – Basic Operations

Lecture 5: 3.5 DataFrame – apply()

Lecture 6: 3.6 DataFrame – View vs Copy

Lecture 7: 3.7 DataFrame – merge()

Lecture 8: 3.8 DataFrame – Aggregation

Lecture 9: 3.9 DataFrame – groupby()

Lecture 10: 3.10 Challenge – Hobbies

Lecture 11: 3.11 Challenge – Party Time

Lecture 12: 3.13 Challenge – Cradle Robbers

Chapter 4: 4. Advanced

Lecture 1: 4.1 Strings

Lecture 2: 4.2 Dates And Times

Instructors

Ben Gorman
Data Scientist

Rating Distribution

1 stars: 3 votes
2 stars: 7 votes
3 stars: 16 votes
4 stars: 81 votes
5 stars: 112 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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