Exploratory Data Analysis with Pandas and Python 3.x

Extract and transform your data to gain valuable insights

4.05 (123 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Improve your understanding of descriptive statistics and apply them over a dataset.

Learn how to deal with missing data and outliers to resolve data inconsistencies.

Explore various visualization techniques for bivariate and multivariate analysis.

Enhance your programming skills and master data exploration and visualization in Python.

Learn multidimensional analysis and reduction techniques.

Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding

Why take this course?

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently.

This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

About the Author

Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interests include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher-Education industry.

Screenshots

Exploratory Data Analysis with Pandas and Python 3.x - Screenshot_01

Exploratory Data Analysis with Pandas and Python 3.x - Screenshot_02

Exploratory Data Analysis with Pandas and Python 3.x - Screenshot_03

Exploratory Data Analysis with Pandas and Python 3.x - Screenshot_04

Reviews

Carlos

August 28, 2023

Regarding coding, the course is good, it teaches several techniques of data cleaning and preprocessing

DrAK

January 7, 2023

irytujący akcent. wolałbym kogoś natywnie mówiącego w wykładanym języku. przydałby się ten skrypt w jupyterze, żeby nie trzeba było samemu przepisywać tego co wykładowca pisze. Za szybko przewija okno Jupytera i nie da się przesuwać kursora w filmie z krokiem drobniejszym niż 5 sekund co uniemożliwia uchwycenie interesującego momentu w filmie. Fatalny akcent lektora daje komiczne, ale też nieczytelne efekty w transkrypcie.

Linga

July 28, 2022

This course was good and i learnt a lot from this course. I feel like instead of providing a link for downloading dataset, they can provide the dataset so it will be easy to proceed on.

Vasyl

January 19, 2021

bad English, not clear accent, sometimes bad layout in jupyter edited: the further it goes, the worse it becomes

Ekta

May 21, 2020

The over all course was totally fine, but the data set can be changed a bit more complex data set and hands on treating the outliers and missing values, Could have made the over all course better

Vinícius

April 8, 2020

As aulas não foram bem preparadas, o material vem sem comentários, sem um template vazio e um exemplo preenchido. Existem vários momentos em que o tutor fica em silêncio digitando, sendo que ele poderia ter deixado o arquivo de template pronto e focado em falar o que importa. Toda a seção final, a que tem três aulas com muito código, eu tive que copiar na mão pausando o vídeo. Ainda assim, consegui aprender formas novas de analisar os dados. Foi positivo, mas poderia ter sido melhor preparado.

Vikas

January 6, 2020

The course content gives a basic understanding of visualization and the instructor has good knowledge about the topics. I felt the entire hands on exercises should have been typed and not just run the previous codes.

Amanpreet

August 24, 2019

A lot of places the tutor is quite while typing. This really creates a dis connect. At times i felt that the video has stopped. Kindly improve it.

Jean

July 7, 2019

It is nothing too bad or too great. It would be nice if they would provide the source code to facilitate some steps that involve more complicated plots.

Charts

Price

Rating

Enrollment distribution

Exploratory Data Analysis with Pandas and Python 3.x - Distribution chart