eLearning Concepts
Credit Risk Modeling in R
In order to model credit risk, use logistic regression and decision trees in a real-world setting.
Working with Data in the Tidyverse
Learn how to work with data using tidyverse tools and master the essential skills of taming and tidying your data.
Time Series Analysis in R
Learn the fundamental techniques for extracting meaningful insights from time series data.
Foundations of Probability in Python
Learn about random variables, mean and variance, probability distributions, and conditional probabilities.
Intermediate Regression in R
Understand how to perform linear and logistic regression with multiple explanatory variables.
Introduction to Data in R
Understand data jargon, study types, sampling strategies, and experimental design.
Spatial Analysis with sf and raster in R
Analyze spatial data using the sf and raster packages.
Data Mining Project
This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the […]
Preprocessing for Machine Learning in Python
This course will teach you how to prepare your cleaned data for modelling.
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