If you're interested in data analysis but you don't know where to start, this Python Pandas crash course might be the answer you've been looking for. The Essential Guide to Python Pandas is a course that is designed to teach you all the essentials you need to know about Pandas, the popular data manipulation library in Python. With this course, you'll learn how to manipulate and analyze data with ease.
What is Essential Guide to Python Pandas?
The Essential Guide to Python Pandas is a crash course that teaches you the essentials of using Pandas, the popular data manipulation library in Python. It's a practical guide that includes real-life examples and reusable code snippets to help you apply what you learn to your own data analysis projects. By the end of the course, you'll have a solid understanding of how to use Pandas to perform data manipulation tasks and analyze data.
Who is it for?
The course is suitable for anyone interested in data analysis. The course assumes no prior knowledge of Python or Pandas, making it an excellent starting point for beginners. If you're a data analyst, data scientist, or anyone who works with data, this course is perfect for you. Even if you just want to learn a new skill, this course is a great way to get started with data analysis.
Course Contents
The course is divided into different sections that cover different aspects of Pandas. These sections include:
- Describing the Anatomy of Pandas Data Structures - Pandas DataFrames, Series, and Indices
- Implementing 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.
- Describing any information within a Pandas DataFrame to identify data problems such as having missing values or using incorrect data types.
- Understanding Pandas Data Types and the correct use case for each type.
- Performing Data manipulation and cleaning, including fixing data types, handling missing values, removing duplicate records, and many more.
- Merging and joining multiple datasets into Pandas DataFrames
- Performing Data Summarization and Aggregation within any DataFrame
- Creating different types of Data Visualization
- Updating Pandas Styling Settings
- Conducting a Data Analysis Project using Pandas library to collect and investigate COVID-19 infection, and the consequent lockdown in different countries.
The course includes free access to a Jupyter Notebook with all the code examples covered in the course, as well as a free e-book in PDF format.
Course Outcome
By the end of this course, you'll be able to use Pandas to perform data manipulation tasks accurately. You'll have a solid understanding of Pandas' data structures, data types, and data cleaning techniques. You'll also have hands-on experience with merging and joining datasets, summarizing and aggregating data, and creating data visualizations. You'll be confident in analyzing any data set using Pandas.
Course Reviews
The course has garnered many positive reviews from students who have taken it. As of today, the course has an aggregate rating of 4.78 out of 5, with 81 students already reviewed. One student wrote, "This course is Superb! It's so easy to follow and is packed with useful information." Another student said, "The course is comprehensive and well-structured. The instructor is knowledgeable and explains everything well. Highly recommended!"
With so many positive reviews, this course is undoubtedly worth considering if you're interested in beginning your journey with Pandas.
