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

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

Coursera: Intro to Data Science with Python

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

Coursera: Applied Machine Learning in Python

Coursera's five-course Deep Learning Specialization covers neural networks, hyperparameter tuning, regularization, optimization, machine-learning project strategy, convolutional neural networks, and sequence models. The courses are Neural Networks and Deep Learning; Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization; Structuring Machine Learning Projects; Convolutional Neural Networks; and Sequence Models. https://www.coursera.org/specializations/deep-learning

Coursera: Deep Learning Specialization

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

University of Michigan - Ann Arbor

This node organizes data science learning references by resource type: books, online courses, research papers, images, videos, and online articles.

Data Science References by Resource Type

The list of helpful books about data science:
1. An Introduction to Statistical Learning with Applications in R
2.  The Elements of Statistical Learning: Data Mining, Inference and Prediction
3.  Learning From Data
4. The Hundred-Page Machine Learning Book by Andriy Burkov
5. The Deep Learning Revolution


Helpful data science books

The list of helpful books about data science:
1. Data science and prediction

Helpful data science research papers

These are videos/video series to accompany concepts from data science and machine learning.

Helpful data science videos

Cite helpful visuals for helping explain data science concepts

Helpful data science images

This node can be used to share links to online articles and websites that are beneficial for learning and are references for other nodes. 

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