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AUO (Module 1 (Linear Algebra, Gradient descent, Probability, Calculus, DS…
AUO
Module 1
Linear Algebra
Gradient descent
Probability
Calculus
DS introduction
Fundamentals of R
Fundamentals of Python
Introduction to Data Science
Module 3.2
3.2 Using Predictive Data Analysis
Discovering Relationships
Quantifing impact
Assessing and Validating your model
Applying the Predictive Analytics Framework
Module 2
Bring the data in to discussion
Visualization and Analysis
Gather and Qualify Data
2. Understanding and Visualizing Data
Module 3.1
3.1 Scientific Decision Making
Define a Hypothesis
Test the Hypothesis
Testing and Conclusions
Module 4.1
4.1 Modeling Uncertainty and Risk
Making One-off and Repeating Decisions
Adjusting and Accounting for Risk
Using Monte Carlo Simulation for Nuanced Decision Making
Module 4.2
4.2 Optimization and Modeling Simultaneous Decisions
Using Optimization
Developing Nonlinear Models
Creating Non-continuous Models That Work