Probability & Statistics
Showing 13–24 of 76 results
Case Study: Analyzing City Time Series Data in R
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
ChIP-seq with Bioconductor in R
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Choice Modeling for Marketing in R
Learn to analyze and model customer choice data in R.
Customer Analytics and A/B Testing in Python
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Differential Expression Analysis with limma in R
Learn to use the Bioconductor package limma for differential gene expression analysis.
Discrete Event Simulation in Python
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Error and Uncertainty in Google Sheets
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Experimental Design in Python
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Experimental Design in R
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Factor Analysis in R
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Forecasting in R
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Forecasting Product Demand in R
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.