Category: Training Modules

11 Probabilistic Modeling 1 2 (golden)

Probabilistic modelling

Probabilistic modelling, learning and algorithms
05 Covariance Modeling 1 2 (golden)

Covariance modelling

Understanding interactions between objects
02 Data Visualization 1 2 (turquoise)

Data visualization in Python

Data visualization techniques for data science
02 Data Visualization 1 2 (turquoise)

Data Visualization in R

Data visualization techniques for data science
06 Distributed Computing 1 2 (golden)

Distributed Machine Learning

Introduction to distributed computing using Spark
10 Stochastic Optimization 1 2 (sienna)

Stochastic Optimization and Reinforcement Learning

Foundations of deep reinforcement learning
07 High-Dimensional Statistics 1 2 (sienna)

Advanced course in high-dimensional statistics

Relevant statistical methods for data with high dimensions
04 Casual Inference 1 2 (golden)

Introduction to Causal inference

How can causal relationships help with prediction?
03 Deep Learning 1 2 (sienna)

Deep Learning and Applications

From theory to practice
01 Foundation of Data 1 2 (turquoise)

Foundations of Data Science

An introduction to basic data science techniques using R or Python

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