Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 32 Minute(s)
Language
English
Taught by
Dr. Ali Gazala, Aimei Zhu
Rating
2 views
Course Overview
A Python Pandas crash course to teach you all the essentials to get started with data analytics
Welcome 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:
Describe the Anatomy of Pandas Data Structures. This includes Pandas DataFrames, Series, and Indices.
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.
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.
Understand Pandas Data Types and the correct use case for each type.
Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more.
Merge & Join multiple datasets into Pandas DataFrames
Perform Data Summarization & Aggregation within any DataFrame
Create different types of Data Visualization
Update Pandas Styling Settings
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.
Course Content
- 9 section(s)
- 17 lecture(s)
- Section 1 Before We Start
- Section 2 Lesson 1 - Getting Started
- Section 3 Lesson 2 - Getting Data into and from Pandas
- Section 4 Lesson 3 - Exploring Data Objects
- Section 5 Lesson 4 - Data Cleaning with Pandas
- Section 6 Lesson 5 - Merging & Joining Data
- Section 7 Lesson 6 - Data Accessing & Aggregation
- Section 8 Lesson 7 - Pandas Data Visualization
- Section 9 Lesson 8 - Pandas Analysis Project
What You’ll Learn
- Describe the Anatomy and main components of Pandas Data Structures. Understand Pandas Data Types and the correct use case for each type.
- Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries etc
- 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
- Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more
- Merge & Join multiple datasets into Pandas DataFrames
- Perform Data Summarization & Aggregation within any DataFrame
- Create different types of Data Visualization
- Apply all the Pandas knowledge you have learned in this course to a real-world Data Analysis Project to investigate COVID-19 infection
Reviews
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TThomas Stokes
I am almost finished with this course and I the examples are laid out nicely. Only issue I had was when he provided the examples It wasn't easy for me to identify all of the parameters' because the videos were over edited.
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PPrecius Tucson
An introductory course, very clear, easy to follow, not at all boring. I think it is very recommendable for everyone who is starting out.
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AA. Rehman
This is a value-packed short course on Python library Pandas. The instructor is knowledgeable and proficient in Pandas and the presentation and delivery are crisp. Highly Recommended!
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HHisham Elhadidi
It covers rapidly the basic concepts of the pandas so for new learners they are now know what pandas can do for them , and for intermediate learner it is nice quick review.
