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- This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
- This course will show you how to integrate spatial data into your Python Data Science workflow.
- Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
- Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
- Develop the skills you need to clean raw data and transform it into accurate insights.
- In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.
- In this course you'll learn to build dashboards using the shinydashboard package.
- Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants!
- This course will show you how to combine and merge datasets with data.table.
- Learn how to use Python to analyze customer churn and build a model to predict it.
- Design surveys to get actionable insights via reviewing of survey design structures and visualizing and analyzing survey results.
- Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
- Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
- Learn rbokeh: a visualization library for interactive web-based plots.
