Fundamentals of Pandas
What you'll learn
- Perform data analysis with python using the pandas library.
- Understand some of the basic concepts of data analysis.
- Learn DataFrames, basic plotting, indexing, and groupby
- Learn how to work with data more effectively
Course content
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Requirements
- Basic understanding of the Python programming language
Description
Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language
Pandas provides a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modeling, and visualization. Fields with widespread use of Pandas include: data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.
In this course, you'll learn how to use the pandas library and tools for data analysis and data structuring. Students will learn about DataFrames, basic plotting, indexing, and groupby. To help you learn how to work with data more effectively,
By the end of this course, students should have a good understanding of Pandas and gain proficiency using the Python Pandas library for data analysis.
Who this course is for:
- Programmers and Developers
- Data analysts and business analysts
- Anyone interested in learning Pandas
Instructor
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- 3.9 Instructor Rating
- 43 Reviews
- 2,688 Students
- 3 Courses
SmartBase Analytics is a nonprofit organization dedicated to serving data science and analytics community by providing accessible, authentic and engaging events. For the past 15 years, we've provided tools and services to help companies build strong relationships with their customers and move towards real-time decision making. We facilitate the sharing of knowledge and ideas among analytics professionals across business, technology and decision science through our industry-specific conferences and educational events.