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Data Science

Data Science Overview

Data Science is a growing IT field that will grow to an estimated $81.4B market size by 2027. At the 2021 AWS Re:invent conference, Data Science related technologies were the major of the conference topics and new technologies. The article below provides guidance on the areas of Data Science, the associated technologies and job roles.

Technological Terms and Concepts

Artificial Intelligence

Deep Learning

Machine Learning

Supervised Learning

Classification

Support Vector Machines

Discriminant Analysis

Naive Bayes

K Nearest Neighbor

Neural Networks

Regression

Linear Regression

Ensemble Methods

Decision Trees

Neural Networks

Unsupervised Learning

Clustering

K-Means

Hierarchical

Gaussian Mixture

Hidden Markov Model

Neural Network

Enforcement Learning

Business Intelligence (BI)

Mathematics

Statistics

Linear Algebra

Differential Calculus

Programming Language

Python

R

https://circ.umbc.edu/projects/software-demos/

Data Visualization Tools

Tableau

Power BI

Matplotlib

Seaborn

GG Plot

Roles 

Data Scientist

Data Engineer

Data Analyst

DataOps (Data pipeline) Engineer

Data Visualization Developer

BI Engineer

BI Specialist

ML Engineer

Resources

Courses

https://www.coursera.org/learn/machine-learning/home/

https://acloudguru.com/course/data-science-basics

Books

https://www.deeplearningbook.org

https://pythonprogramming.net/introduction-reinforcement-learning-stable-baselines-3-tutorial/

Graduate Colleges

https://data.berkeley.edu