Data Analysis with Pandas and Python
Data Analysis with Pandas and Python. Explore the features of Python’s powerful pandas library including sorting, filtering, grouping, munging, and more!
The name of this course is Data Analysis with Pandas and Python. The knowledge you will get with this indescribable online course is astonishing. Explore the features of Python’s powerful pandas library including sorting, filtering, grouping, munging, and more!.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Boris Paskhaver, one of the very best experts in this field.
Description of this course: Data Analysis with Pandas and Python
Course Description 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:installingsortingfilteringgroupingaggregatingde-duplicatingpivotingmungingdeletingmergingtext cleaningvisualizingand more!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!
#R #Python #MachineLearning #BigData #DataAnalysis
Requirements of this course: Data Analysis with Pandas and Python
What are the requirements? 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
What will you learn in this course: Data Analysis with Pandas and Python?
What am I going to get from this course? 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
Target audience of this course: Data Analysis with Pandas and Python
Who is the target audience? Data analysts and business analysts Excel users looking to learn a more powerful software for data analysis