![[50% Off] Essential Guide to Python Pandas Course Coupon](https://img-c.udemycdn.com/course/750x422/4545714_9f30.jpg "[50% Off] Essential Guide to Python Pandas Course Coupon")
Description
elcome to our Pandas crash course! This course is designed to provide you with a practical guide to using Pandas, the popular data manipulation library in Python. We’ve included real-life examples and reusable code snippets to help you quickly apply what you learn to your own data analysis projects.
Throughout this course, you will learn how to:
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Describe the Anatomy of Pandas Data Structures. This includes Pandas DataFrames, Series, and Indices.
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Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries and JSON format, web scraping, and more.
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Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types.
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Understand Pandas Data Types and the correct use case for each type.
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Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more.
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Merge & Join multiple datasets into Pandas DataFrames
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Perform Data Summarization & Aggregation within any DataFrame
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Create different types of Data Visualization
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Update Pandas Styling Settings
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Conduct a Data Analysis Project using Pandas library to collect and investigate COVID-19 infection, and the consequent lockdown in different countries.
In addition to the course materials, you’ll also have free access to a Jupyter Notebook with all of the code examples covered in this course, as well as a free e-book in PDF format. By the end of this course, you’ll have a solid understanding of how to use Pandas to perform data manipulation tasks and analyze data.
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