Beginner's guide to Python Pandas for Data Analysis

Learn how to code with pandas library

4.75 (16 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
Beginner's guide to Python Pandas for Data Analysis
195
students
13 hours
content
Oct 2020
last update
$49.99
regular price

What you will 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.

Why take this course?

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

Danuta
September 25, 2023
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
Amjad
May 16, 2021
Excellent way of explaining, easy to understand, comprehensive in case of projects, quiz with answers, lots of examples to be used in to get raw data into panda, filtering the data, presentation of charts for the decision making, easy coding in pandas as compared to sql. Superb course and amazing Teacher. I learned SQL, Python, Panda and AzureThanks Sir Raphael. May Allah Bless You.

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3536636
udemy ID
9/30/2020
course created date
10/7/2020
course indexed date
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