67 Online programmes offered by the university
Introduction to Predictive Analytics in Python
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.
Mixture Models in R
In this Mixture Models in R course offered by Data Camp you will learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Introduction to Statistics
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!
Introduction to Anomaly Detection in R
In this Introduction to Anomaly Detection in R course offered by Data Camp you will learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Generalized Linear Models in R
In this Generalized Linear Models in R course offered by Data Camp you will expand your regression toolbox to include logistic and Poisson regression.
Inference for Categorical Data in R
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.
ARIMA Models in R
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.
Differential Expression Analysis with limma in 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.
Experimental Design in R
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.
Introduction to Regression with statsmodels in Python
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.
Statistician in R
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.
Forecasting Product Demand in R
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.
Time Series in R
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.
Bayesian Regression Modeling with rstanarm
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.
Bayesian Data Analysis in Python
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
Experimental Design in Python
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!
Machine Learning Scientist in R
A machine learning scientist researches new approaches and builds machine learning models with this Machine Learning Scientist in R course offered by Data Camp.
Case Studies - Network Analysis in R
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
Sampling in Python
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.
Analyzing Genomic Data in R
In this Analyzing Genomic Data in R course offered by Data Camp you will start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.