Last updated 01/2023Duration: 59m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 345 MBGenre: eLearning | Language: English[Auto]

Learn how to use the powerful Python pandas library to analyze and manipulate data.

What you'll learn

Perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more!

Group, aggregate and summarise your data.

Learn everything there is to know about pandas - from absolute scratch!

Gain a deep and hands-on understanding of pandas data structures.

Practice reading data from the web, pickles, Excel files right within pandas.

Requirements

No prior knowledge of pandas is required.

Basic knowledge of Python

Access to a computer with an internet connection.

Description

This course is designed for individuals with little or no experience with the Pandas library for Python. Pandas is a powerful and flexible open-source data analysis and manipulation tool that is widely used in data science and data analysis. This course will provide a comprehensive introduction to the library, starting with basic concepts and gradually building up to more advanced topics.

The course will b by introducing the basics of Pandas, including its data structures (Series and DataFrames) and the various ways to import and export data. You will learn how to perform basic data cleaning and preprocessing tasks, including handling missing values, renaming columns, and filtering and sorting data. You will also learn how to use Pandas to perform basic statistical operations and data visualization.

As the course progresses, you will dive deeper into more advanced topics, such as meg and joining data, groupby operations, and advanced indexing techniques. You will also learn how to use Pandas to work with series data, including how to handle and manipulate date and data.

Throughout the course, you will work with real-world data sets, giving you hands-on experience with the tools and techniques covered. You will also complete a number of practical exercises and projects, allowing you to apply what you've learned to real-world problems.

By the end of this course, you will have a solid understanding of the Pandas library and be able to use it confidently to perform data analysis and manipulation tasks. Whether you're a bner looking to start a career in data science or an experienced data analyst looking to improve your skills, this course is the perfect starting point.

Prerequisites: This course is designed for absolute bners, and it will be helpful if you have basic knowledge of Python programming.

Course Outline

Introduction to Pandas

Pandas Dataframes and Series

Indexes in Pandas

Conditional Filtering in Pandas

Update Rows and Columns in Pandas

Add/Remove Columns of Data

Master Data Sorting in Pandas

Clean & Save DataFrames

By the end of this course, you will be able to

Understand the basics of the Pandas library and its data structures

Import and export data using Pandas

Perform basic data cleaning and preprocessing tasks

Use Pandas to perform basic statistical operations and data visualization

Merge and join data using Pandas

Use the groupby function in Pandas

Apply advanced indexing techniques in Pandas

Work with series data using Pandas

Apply your knowledge to real-world projects

Who this course is for

If you are a complete bner then this course will be everything you need to learn Pandas

Python students that want to learn how to manipulate data professionally.

Anyone looking to deeply understand and master pandas

Aspiring data analysts and scientists looking to upgrade their skillset.

Anyone interested in mastering data analysis with python