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IT & SoftwareIT CertificationsPandas

Beginner's guide to Python Pandas for Data Analysis

Learn how to code with pandas library
Rating: 4.9 out of 54.9 (7 ratings)
125 students
Created by Raphael Asghar
Last updated 10/2020
English
English [Auto]

What you'll learn

  • This course will introduce to the student how to use a Python analytical tool called Pandas. With this technology, the student will be able to import and analyze data from a variety of data sources, such as Excel, CSV, SQL Server, URLs, Big Data, and much more. With the aid of Juypter Notebook editor, the student will be able to interact with pandas library and learn to code. The pandas library will introduce to the student on how to import and export data, how to manage, manipulate, configure data, and how to filter, add, delete, concatenate, group data and visualize data with charts and much more.

Requirements

  • This course is designed with the beginner in mind; as such, we introduce the fundamentals of pandas library commands to manage data, However, my course called An Absolute Beginner’s Guide to Python is a highly recommended course or a fundamental understanding of Python language.

Description

This course will introduce to the student how to use a Python analytical tool called Pandas. With this technology, the student will be able to import and analyze data from a variety of data sources, such as Excel, CSV, SQL Server, URLs, Big Data, and much more. With the aid of Juypter Notebook editor, the student will be able to interact with pandas library and learn to code. The pandas library will introduce to the student on how to import and export data, how to manage, manipulate, configure data, and how to filter, add, delete, concatenate, group data and visualize data with charts and much more.

Who this course is for:

  • As this is a beginner guide to pandas library, it is designed for the student who wants to learn about how to manipulate, configure, manage, import, and export data from a variety of sources such as Excel, CSV, SQL databases, URLs, and many more resources. These students can be developers, database admins, beginning data scientists, financial analysts, Excel students, or anyone who works with data.

Instructor

Raphael Asghar
Production SQL Database Administrator
Raphael Asghar
  • 4.5 Instructor Rating
  • 21,620 Reviews
  • 120,797 Students
  • 25 Courses

Worked as a Production SQL Database Administrator and developer for over 15 years for various companies such as Neutrogena, BakeMark, Solutions2Go and NextGen.  Want to help those students that want more that the basic SQL Language.  Creating real life courses for those students who want a simple path to becoming a SQL DBA.  I love SQL Administration and all that is involved in managing and creating a stable SQL architecture environment. I want to pass that experience and information to my students.

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