67 Short courses offered by the university

In this Practicing Statistics Interview Questions in R course offered by Data Camp you will prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

In this Survival Analysis in R course offered by Data Camp you will learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models

In this RNA-Seq with Bioconductor in R course offered by Data Camp you will use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions

In this Foundations of Probability in Python course offered by Data Camp you will learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

In this Time Series Analysis in Python course offered by Data Camp you will learn the basics of analyzing time series data in Python.

In this Introduction to Bioconductor in R course offered by Data Camp you will learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

The Linear Algebra for Data Science in R course at Data Camp is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

In this Statistical Inference in R course offered by Data Camp you will learn a core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

In this Modeling with Data in the Tidyverse course offered by Data Camp you will learn discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

In this Probability Puzzles in R course offered by Data Camp you will learn strategies for answering probability questions in R by solving a variety of probability puzzles.

This Introduction to Network Analysis in Python course offered by Data Camp will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

In this ChIP-seq with Bioconductor in R course offered by Data Camp you will learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

In this Inference for Linear Regression in R course offered by Data Camp you will learn how to perform inference using linear models.

In this Network Analysis in R course offered by Data Camp you will learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

This Hypothesis Testing in R course offered by Data Camp will teach you how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

In this Statistics Fundamentals in Python course offered by Data Camp you will learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

In this Building Response Models in R course offered by Data Camp you will learn to build simple models of market response to increase the effectiveness of your marketing plans.

In this Marketing Analytics in R course offered by Data Camp you will grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.

In this Statistics Fundamentals in R course offered by Data Camp you will discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

In this Time Series Analysis in R course offered by Data Camp you will learn the core techniques necessary to extract meaningful insights from time series data.