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363 Online programmes offered by the university
Introduction to MongoDB in Python
In this Introduction to MongoDB in Python course offered by Data Camp you will learn to manipulate and analyze flexibly structured data with MongoDB.
Introduction to Natural Language Processing in R
In this Introduction to Natural Language Processing in R course offered by Data Camp you will gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Fraud Detection in Python
In this Fraud Detection in Python course offered by Data Camp you will learn how to detect fraud using Python, how to resample your data in a smart way in order to tackle problems with imbalanced data
Big Data Fundamentals with PySpark
In this Big Data Fundamentals with PySpark course offered by Data Camp you will learn the fundamentals of working with big data with PySpark.
Analyzing Survey Data in R
In this Analyzing Survey Data in R course offered by Data Camp you will learn survey design using common design structures followed by visualizing and analyzing survey results.
Building Recommendation Engines in Python
In this Building Recommendation Engines in Python course offered by Data Camp you will learn to build recommendation engines in Python using machine learning techniques.
Introduction to Deep Learning in Python
In this Introduction to Deep Learning in Python course offered by Data Camp you will learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Intermediate Regression in R
In this Intermediate Regression in R course offered by Data Camp you will learn to perform linear and logistic regression with multiple explanatory variables.
Introduction to SQL Server
In this Introduction to SQL Server course offered by Data Camp you will learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Introduction to Spark with sparklyr in R
In this Introduction to Spark with sparklyr in R course offered by Data Camp you will learn how to run big data analysis using Spark and the sparklyr package in R
Error and Uncertainty in Google Sheets
In this Error and Uncertainty in Google Sheets course offered by Data Camp you will learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Case Study - Analyzing Customer Churn in Tableau
In this Case Study - Analyzing Customer Churn in Tableau course offered by Data Camp you will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Quantitative Risk Management in R
In this Quantitative Risk Management in R course offered by Data Camp you will work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Building Dashboards with flexdashboard
In this Building Dashboards with flexdashboard course offered by Data Camp you will learn how to create static and interactive dashboards using flexdashboard and shiny.
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!
Intermediate Google Sheets
In this Intermediate Google Sheets course offered by Data Camp you will expand your Google Sheet skills. Learn how data validation, statistics, and regular expressions can save you time with Excel and Sheets!
Handling Missing Data with Imputations in R
In this Handling Missing Data with Imputations in R course offered by Data Camp you will diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Dealing with Missing Data in Python
In this Dealing with Missing Data in Python course offered by Data Camp you will learn how to identify, analyze, remove and impute missing data in Python.
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.