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Data Analysis with Pandas

Alex Baransky
Data Science Academy Instructor
Panelist Spotlight

Alex earned his bachelor’s degree in Environmental Biology at Columbia University, where he took courses in Advanced Programming, Data Structure, Object-oriented programming, and Circuit Analysis. He has experience with multiple computer languages, including Python. R, and SQL. As an engineer at heart and biologist through training, Alex is passionate about animal behavior and finding innovative ways to use data science in biology.

Data Analysis with Pandas

|November 9th, 2021|

Pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool, built on top of the Python programming language. The library's primary data structure, the data frame, replicates a data structure of the same name from R which is a straightforward way to represent tabular data. Additionally, Pandas offers options to create effective visualizations to help you point out trends in your data more easily. This workshop is perfect for both non-programmers who do not have any programming experience and are interested in learning about data science, and programmers who are looking to brush up their skills or expand their programming toolkit.   Download the Dataset HERE