Data Analysis with Pandas and Python (Udemy.com)
Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!
Created by: Boris Paskhaver
Produced in 2021
What you will learn
- Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!
- Learn hundreds of methods and attributes across numerous pandas objects
- Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
- Resolve common issues in broken or incomplete data sets
Quality Score
Overall Score : 94 / 100
Course Description
The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. - DianaThis is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality - with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I'm actually surprised at how well done this is. I don't give many 5 stars, but this has earned it so far. - MichaelThis course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! - JamesWelcome to themost comprehensive Pandas courseavailable onUdemy! Anexcellent choice for both beginners and experts looking to expand theirknowledge on one of the most popular Python libraries in the world!
Data Analysis withPandas and Python offers19+ hours of in-depth video tutorials on the most powerful data analysis toolkitavailable today. Lessons include:
installingsortingfilteringgroupingaggregatingde-duplicatingpivotingmungingdeletingmergingvisualizingand more!
Why learn pandas?
If you've spent timein a spreadsheet software likeMicrosoft Excel, Apple Numbers, or GoogleSheetsand 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 Pandaslibrary built on top of the Python programming language.
Pandas is a powerhouse tool thatallows 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 onsteroids"!
Over the course of more than 19hours, 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 Pandasand Pythonis bundledwith 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!
Whetheryou're a new data analystor have spent years (*cough* too long *cough*) inExcel, DataAnalysis with pandas and Pythonoffers you an incredible introduction to one of the most powerful data toolkits available today!
Who this course is for:
Data analysts and business analystsExcel users looking to learn a more powerful software for data analysis
Instructor Details
- 4.7 Rating
300 Reviews
Boris Paskhaver
Hi there!I'm a New YorkCity-basedsoftware engineer, author, and consultant who's been teaching on Udemy since 2016.
Like many of my peers, I did not follow a conventionalapproach to my current role as a web developer. After graduating fromNew YorkUniversity in 2013with a degree inBusiness Economics and Marketing,I worked as a business analyst, systems administrator, and data analyst for a variety of companiesincluding a digital marketing agency, a financial services firm, and an international tech powerhouse. At one of those roles,I was fortunate enough to be challengedto build severalprojects withPython and JavaScript.
There was no formal computer science education for me;I discovered coding entirely by accident. A small work interest quickly blossomedinto a passionate weekend hobby. Eventually, I left my former roleto complete AppAcademy, a rigorous full-stack web developmentbootcamp in NYC.The rest is history.
I've always been fascinated by the intersection of technology and education, especially since I've struggled with many of the traditional resources people use to learn how to program. My goal as an instructor is to create comprehensive step-by-step courses that breakdown the complex details into small, digestible pieces. I like to build the kind of material that I myself would have loved to have when I was starting o
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