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
