Udemy

Beginner's guide to Python Pandas for Data Analysis

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  • 212 Students
  • Updated 10/2020
4.8
(16 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 50 Minute(s)
Language
English
Taught by
Raphael Asghar
Rating
4.8
(16 Ratings)
1 views

Course Overview

Beginner's guide to Python Pandas for Data Analysis

Learn how to code with pandas library

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.

Course Content

  • 1 section(s)
  • 50 lecture(s)
  • Section 1 Introduction

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.


Reviews

  • N
    Nick Tahoulas
    4.0

    Some Excel files are missing, and at times the corresponding html file doesn't match what's displayed on the screen. However the instructor is knowledgeable and easy to follow/understand.

  • M
    Mncedisi Shibe
    5.0

    This is exactly what i needed. thank you thank you thank you:)

  • D
    Danijel Dijanic
    5.0

    It's perfect. Describe in details on easily and understandable way.

  • D
    Danuta Koval
    3.5

    A bit was disappointed from the beginning. I use Mac and to install Microsoft staff here not so easy, also files are missing from the resource

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