Pandas with Python

Analyze data quickly and easily with Python's powerful pandas library

3.75 (227 reviews)
Udemy
platform
English
language
IT Certification
category
18,728
students
6.5 hours
content
Jan 2020
last update
FREE
regular price

What you will learn

Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!

Possess a strong understanding of manipulating 1D, 2D, and 3D data sets

Learn hundreds of methods and attributes across numerous pandas objects

Resolve common issues in broken or incomplete data sets

Description

Why learn pandas?

If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!


Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it "Excel on steroids"!

Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you're a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!


1. Introduction Series & DataFrame

2. Date Range & Inspecting Data

3. Indexing & Slicing on DataFrame - 1

4. loc & iloc

5. Indexing & Slicing on DataFrame - 2

6. Concatination & Descriptive Statistics

7. Merging DataFrames

8. Working with Text Data

9. Function Application & Loading data in Python

10. Loading Data from CSV, Excel & URL

11. Data Visualization using Pandas

12. What is Data Science

13. What is Machine Learning

Content

Pandas with Python

Session 1. Introduction Series & DataFrame
Introduction Series & DataFrame
Session 2. Date Range & Inspecting Data
Date Range & Inspecting Data
Session 3. Indexing & Slicing on DataFrame - 1
Indexing & Slicing on DataFrame - 1
Session 4. loc & iloc
loc & iloc
Session 5. Indexing & Slicing on DataFrame - 2
Indexing & Slicing on DataFrame - 2
Session 6. Concatenation & Descriptive Statistics
Concatenation & Descriptive Statistics
Session 7. Merging DataFrames
Merging DataFrames
Session 8. Working with Text Data
Working with Text Data
Session 9. Function Application & Loading data in Python
Function Application & Loading data in Python
Session 10. Loading Data from CSV, Excel & URL
Loading Data from CSV, Excel & URL
Session 11. Data Visualization using Pandas
Data Visualization using Pandas
Data Science
12. What is Data Science
Machine Learning
13. What is Machine Learning
Summary

Screenshots

Pandas with Python - Screenshot_01Pandas with Python - Screenshot_02Pandas with Python - Screenshot_03Pandas with Python - Screenshot_04

Reviews

Nikeeta
August 12, 2023
Voice at some time series was not audible so please improve it as well there should be an option for quality change in the video clip.overall teaching was nice.Some technical improvement is necessary.
Luis
March 23, 2021
Even tho the content is good as a program, the course has a lot of flaws, some lessons are not in order, come videos even lack audio
Alberto
February 4, 2021
Very interesting resource for ML practitioners and beginners in Python! Congratulations to the teacher! Brief and direct explanations, very recomendable!!
Garry
September 13, 2020
Sorry to say even though its free this seems t o take ages to get things done, gave up after 10 mins.
Nivesh
July 5, 2020
Frequently there is missing voice during the presentation. For example check Chapter 2 between run time 11:00 to 23:00.
Ryuuyasha
June 23, 2020
No sound at all for large portions of the first video, long stretches of silence while a contact information slide is on screen. It makes the video much longer and use more bandwidth than it should. The sound will suddenly return without warning (possibly a bad recording?), too. Recommend going through silent portions on x2 playback and pausing as needed to try out the code to figure out what it's trying to do - on the fast speed you can hear when the instructor comes back on and return to normal speed.
Miguel
May 23, 2020
It is a very good course, and it may be better (that more people are encouraged to take the course) if it had subtitles, their English (from the instructor) is understandable, but only to confirm something that you have not heard well, and sometimes not there is audio and / or frozen image. Thank you.
Yahya
March 24, 2020
The material is good. However, The lectures where badly recorded and there are lectures without sound
Nyagaya
February 26, 2020
The course was very helpful and I learned a lot especially on merging and data visualization using the available plots. I am looking forward to more courses on data analysis using pandas library.

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2760528
udemy ID
1/15/2020
course created date
2/8/2020
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