Essential Guide to Python Pandas
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
Requirements
- To take the best out of this course, you will need a minimum working knowledge about Python programming language and are comfortable running data science documents using Jupyter notebook
Description
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.
Who this course is for:
- This course is for aspiring data professionals and Python developers who want to learn how to process data in Pandas.
Instructors
![Dr. Ali Gazala](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.7 Instructor Rating
- 78 Reviews
- 5,314 Students
- 2 Courses
Dr. Ali Gazala is a seasoned data scientist with a passion for teaching and sharing knowledge. With over a decade of experience in demand intelligence, healthcare analytics, and natural language processing, he has a strong background in both data science education and industry. In his role as a university lecturer, Ali has taught numerous classes on data science and business intelligence and is a strong advocate for education democratization. Currently, he is focused on developing and delivering online education materials related to artificial intelligence and data science.
When you enroll in Ali's courses, you can expect personalized care and attention, with regular office hours and a commitment to reply to student questions within 24 hours. Ali has a wealth of expertise and proven success in both theoretical and practical applications of data science, and is dedicated to helping his students succeed. He is confident that he is the right choice for you!
- 4.7 Instructor Rating
- 78 Reviews
- 5,314 Students
- 2 Courses
Aimei is a skilled data professional with a strong background in linguistics and natural language processing. She has over 5 years of experience in data analysis and visualization, and has demonstrated her expertise through her successful collaborations with online instructors and content creators. Aimei is committed to delivering exceptional results and is dedicated to providing top quality course videos.