Explore the features of Python’s powerful pandas library including sorting, filtering, grouping, munging, and more!
All Levels, – 19 hours, 173 lectures
Average rating 4.8/5 (4.8 (52 ratings) Instead of using a simple lifetime average, Udemy calculates a course’s star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.)
Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
Basic experience with the Python programming language
Strong knowledge of data types (strings, integers, floating points, booleans) etc
The most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to refresh their technical knowledge on one of the most popular Python libraries in the world!
Data Analysis with Pandas and Python offers 19+ hours of in-depth tutorials on one of the most powerful data analysis toolkits available today. Lessons include:
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!
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
Data analysts and business analysts
Excel users looking to learn a more powerful software for data analysis
“This is the best course I’ve seen so far giving an overview and show the possibilities pandas has. I’m working now a while with pandas and the course provided some very valide information which helps me in my day to day work with pandas.
Well done!” (Tobias Kuhn)
“I love the way each topics was explained. Clear and Straight!” (Trung Vo)
“very complete, exhaustive coverage of pandas methods, attributes, parameters and usage in typical data ingestion and numerical processing tasks in python. speaker has good language skills and great familiarity with pandas, including the “rare” exceptions and quirks.
177 short lectures seems too much time for learning too many geeky things to memorize, but that is the common issue with python and it’s libraries. Pity his videos are not embedded into the help syntax of pandas itself, so you can get just-in-time pandas learning at the moment you need it :-)” (Lloyd Clark)
Hi there, I’m a NYC-based data analyst with a love of numbers and a penchant for storytelling.
Raised in New Jersey, I graduated from the Stern School of Business at New York University in 2013 with a double major in Business Economics and Marketing. Since graduation, my work has taken me in a wide variety of directions — I spent a year in marketing, then financial services, and now the tech industry. I’ve worked everywhere from a 50-person digital agency to an international tech powerhouse with thousands of employees.
I’ve always had a love of learning but have struggled with the traditional resources available for education. I’ve used that as inspiration for my work here. My goal is to create comprehensive courses that break down the complex details into small, digestible pieces.
I hope to see you in a course soon.
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