Data Analysis with Pandas and Python

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!

Over the course of more than 19 hours, you will step-by-step through Pandas, from installation to visualization! You'll be covered with hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with the lecturer's lessons to see how easy it is to get started with pandas!


You will learn:

  • Perform a multitude of data operations in Python's popular panda's 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

This course offers:

  • Flexible deadlines: Reset deadlines based on your availability.
  • Get a Certificate when you complete
  • 100% online
  • Intermediate level
  • Approximately 21.5 hours to complete
  • Subtitles: English

Participants: 165,561

Enroll here: https://www.udemy.com/course/data-analysis-with-pandas/

udemy.com
udemy.com
udemy.com
udemy.com

Toplist Joint Stock Company
Address: 3rd floor, Viet Tower Building, No. 01 Thai Ha Street, Trung Liet Ward, Dong Da District, Hanoi City, Vietnam
Phone: +84369132468 - Tax code: 0108747679
Social network license number 370/GP-BTTTT issued by the Ministry of Information and Communications on September 9, 2019
Privacy Policy