Python Data Analysis Bootcamp with Pandas and NLTK

Udemy Python Data Analysis Bootcamp with Pandas and NLTK

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Analyze data fast and easy with Python and Pandas

What you'll learn
  • Learn to program in Python at a good level
  • Learn how to create variables
  • Learn about integer, float, logical, string and other types in Python
  • Discover and learn hundreds of methods, attributes, and techniques to manipulate data in pandas and python.
  • Gain a deep and hands-on understanding of pandas data structures.

Requirements
  • No necessary experience needed

Description
Why learn pandas?
If you've spent time in 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!

Who this course is for:
  • Anyone looking to deeply understand and master pandas
  • Anyone interested in mastering data analysis with python
  • Data analysts and business analysts
  • Excel users looking to learn a more powerful software for data analysis
Author
TUTProfessor
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