67 Short courses offered by the university

In this Introduction to Statistics course offered by Data Camp you will learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

In this Introduction to Predictive Analytics in Python course offered by Data Camp you will learn to use and present logistic regression models for making predictions.

In this Intermediate Regression in R course offered by Data Camp you will learn to perform linear and logistic regression with multiple explanatory variables.

In this Multivariate Probability Distributions in R course offered by Data Camp you will learn to analyze, plot, and model multivariate data.

In this Time Series in R course offered by Data Camp you will learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data.

In this ARIMA Models in R course offered by Data Camp you will become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

In this Differential Expression Analysis with limma in R course offered by Data Camp you will learn to use the Bioconductor package limma for differential gene expression analysis.

In this Bayesian Regression Modeling with rstanarm course offered by Data Camp you will learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

In this Forecasting Product Demand in R course offered by Data Camp you will 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.

In this Generalized Linear Models in R course offered by Data Camp you will expand your regression toolbox to include logistic and Poisson regression.

In this Inference for Categorical Data in R course offered by Data Camp you will learn how to leverage statistical techniques for working with categorical data.

In this Introduction to Regression with statsmodels in Python course offered by Data Camp you will predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

In this Experimental Design in R course offered by Data Camp you will learn about basic experimental design, a crucial part of any data analysis.

A machine learning scientist researches new approaches and builds machine learning models with this Machine Learning Scientist in R course offered by Data Camp.

In this Case Studies - Network Analysis in R course offered by Data Camp you will apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies

In this Experimental Design in Python course offered by Data Camp you will implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

In this Sampling in Python course offered by Data Camp you will learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

In this Bayesian Data Analysis in Python course offered by Data Camp you will learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases

In this Statistician in R course offered by Data Camp you will learn how to collect and analyze data and help companies make sense of quantitative data, including spotting trends and making predictions.

In this Case Studies in Statistical Thinking course offered by Data Camp you will take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.