https://online.maryville.edu/blog/actuary-vs-data-scientist/
Actuary:
An actuary’s job is based on the premise that, given enough data, the right calculations will yield actionable insights that businesses can take to mitigate risk.

Data Scientist:
Like actuaries, data scientists spend their time analyzing data and making statistical predictions. However, unlike actuaries, who work primarily in insurance and deal chiefly with numbers, data scientists use a wide range of data to make predictions about a broader range of topics.

Actuary vs Data Scientist

https://online.maryville.edu/blog/actuary-vs-data-scientist/

Actuary and Data Science career differences article

Actuarial Mathematics Edition: 2nd Author(s): Bowers, Newton L.; Gerber, Hans U.; Hickman, James C.; Jones, Donald A.; Nesbitt, Cecil J.
UM resources: https://lsa.umich.edu/math/undergraduates/major-and-minor-programs/actuarial-mathematics.html

Materials about Actuarial Mathematics

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.

University of Michigan - Ann Arbor

Pure:
- Quantity (number theory)
- Space (geometry)
- Structure (Algebra)
- Change (mathematical analysis)
- Combinatorics
- Topology

Applied:
- Probability Theory
- Computational Science
- Mathematical Physics
- Operational Research

Focuses of Math

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

A set that has additional features (e.g. operations, relations, metrics, topology)

Structure in math

Actuarial Mathematics

The branch of "pure" math that studies integers and integer-value functions

Quantity (number theory)

Probability is the branch of math concerned with the likelihood of an event occuring, or the likelihood that an event is true. 

Probability Theory

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

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

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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