67 Online programmes offered by the university
Linear Algebra for Data Science in R
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.
Practicing Statistics Interview Questions in R
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.
Time Series Analysis in Python
In this Time Series Analysis in Python course offered by Data Camp you will learn the basics of analyzing time series data in Python.
Introduction to Network Analysis in Python
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.
ChIP-seq with Bioconductor in R
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.
Survival Analysis in R
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
Statistical Inference in R
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.
Modeling with Data in the Tidyverse
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.
Foundations of Probability in Python
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.
Network Analysis in R
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.
RNA-Seq with Bioconductor in R
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
Introduction to Bioconductor in R
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!
Inference for Linear Regression in R
In this Inference for Linear Regression in R course offered by Data Camp you will learn how to perform inference using linear models.
Probability Puzzles in R
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.
Introduction to Regression in R
In this Introduction to Regression in R course offered by Data Camp you will predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Introduction to Linear Modeling in Python
In this Introduction to Linear Modeling in Python course offered by Data Camp you will learn explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Marketing Analytics in R
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.
Statistics Fundamentals in Python
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.
Survival Analysis in Python
In this Survival Analysis in Python course offered by Data Camp you will use survival analysis to work with time-to-event data and predict survival time.
Statistical Techniques in Tableau
In this Statistical Techniques in Tableau course offered by Data Camp you will take your reporting skills to the next level with Tableau’s built-in statistical functions.