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

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

University of Michigan - Ann Arbor

Google

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

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 Computer Science to help quantify financial risk. Actuaries are mostly hired into the Financial or Insurance industries to model various economic uncertainties.

Actuarial Mathematics

Data science in sports involves the application of statistical analysis, predictive modeling, and machine learning to sports-related data. It enables sports organizations to evaluate athletic performance, formulate game strategies, predict and prevent injuries, optimize scouting, and improve business operations such as fan engagement and ticket sales.

Learn Before

Related

Learn After