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

Helpful data science online courses

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. 

Helpful Data Science Online Articles

The list of helpful broad references about Statistics is categorized as follows:
- Statistics books
- Statistical Software 
- Statistics online courses
- Statistics research papers

Statistics References

The list of helpful broad references about data science is categorized as follows:
1. Data science books
2. Data science online courses
3. Data science research papers
4. Images
5. Data science videos

University of Michigan - Ann Arbor

Science is a systematic effort to build and organize knowledge as testable statements and predictions. Data science, as an interdisciplinary field, involves data and, by extension, statistics, or the systematic study of the organization, properties, and analysis of data and its role in inference, including our confidence in the inference. It uses scientific methods, processes, and algorithms to extract knowledge and infer insights from structured and unstructured data.

Data Science

Data science references

The marriage of Statistics, Computer Science, and Domin knowledge built Data Science.

Data science is interdisciplinary

A dataset is collections of data, which can be in the form of a table, network, text, image, video, sound, ...

Dataset

Study of financial risk and uncertainty. Combines elements of Business, Data Science, Statistics, and CS to help quantify financial risk. Actuaries are mostly hired into the Financial or Insurance industries to model various economic uncertianties.

Actuarial Mathematics

The sports industry generates around 90 billion dollars in revenue each year. With a rapidly growing industry like sports, the need for analytics and data science is essential. What is the likelihood that team Lakers win the championship? How valuable are Nikola Jokic and Jamaal Murray to the Nuggets? Will Kevin Durant be as successful next year after tearing his ACL and skipping a year from the league? These are all questions GM's and Owners ask as some of these decisions can make or break their franchise. Looking back at decades of sports data to try to predict the future is crucial for this industry to continually boom in the coming decades.

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