This Python library is a very commonly used data structure in the Data Science industry. It allows the creation of table-like data structures that include columns and rows, and is commonly used for large scale data analysis and testing. 
Documentation: https://pandas.pydata.org/docs/

Pandas Library

https://www.coursera.org/learn/python-data-analysis

University of Michigan - Ann Arbor

These online courses can be easy resources to structure data science education. 

Helpful data science online courses

Udemy's Data Science 2020 course is a comprehensive introduction to machine and deep learning in python. The course covers statistics, elementary coding in python, and machine & deep learning. The course emphasizes the use of sklearn and statsmodels for machine learning and TensorFlow for deep learning. The course has 29 hours of lectures in addition to hands-on exercises for each concept. The course can be found at [www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp](https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp) and is typically available for $10-14.

Udemy.com: "The Data Science Course 2020: Complete Data Science Bootcamp"

Udemy's R Programming for Statistics and Data Science is a 6.5 hour introductory course to R. It starts from the very basics of coding and provides lots of hands on exercises to build your skills as you explore new concepts. It emphasizes matrix manipulation and dataframes, essential for data science, and includes lots of lessons on data visualization with R's famous ggplot2. The course can be found here: [www.udemy.com/course/r-programming-for-statistics-and-data-science/](https://www.udemy.com/course/r-programming-for-statistics-and-data-science/) 

R Programming for Statistics and Data Science

The open sourced class includes lecture pages, hands on lectures, discussions, jupyter notebooks... Very useful for very deep theoretical understanding.
[github.com/eecs445-f16/umich-eecs445-f16](https://github.com/eecs445-f16/umich-eecs445-f16) 

EECS 445 Github Notes

Coursera: Intro to Data Science with Python

 Coursera offers a five course specialization that teaches the foundations of Deep Learning in terms of understanding "how to build neural networks" and learning "how to lead successful machine learning projects". The specialization consists of the following courses:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models


https://www.coursera.org/specializations/deep-learning

Deep Learning Specialization

https://www.coursera.org/learn/python-machine-learning?utm_source=gg&utm_medium=sem&utm_content=01-CatalogDSA-ML1-US&campaignid=9918777773&adgroupid=100491712477&device=c&keyword=&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=432357975999&hide_mobile_promo&gclid=CjwKCAjwnef6BRAgEiwAgv8mQb1CwbQkIUWRMGczmdtUo6LaKB5U4kg_Tet6Vk7sTpzIvIZtBwSxyxoC26sQAvD_BwE

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