67 Online programmes offered by the university
Building Response Models in R
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.
Forecasting in R
In this Forecasting in R course offered by Data Camp you will learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Hierarchical and Mixed Effects Models in R
In this Hierarchical and Mixed Effects Models in R course offered by Data Camp you will learn to fit hierarchical models with random effects.
Choice Modeling for Marketing in R
In this Choice Modeling for Marketing in R course offered by Data Camp you will learn to analyze and model customer choice data in R.
Predictive Analytics using Networked Data in R
In this Predictive Analytics using Networked Data in R course offered by Data Camp you will learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Structural Equation Modeling with lavaan in R
In this Structural Equation Modeling with lavaan in R course offered by Data Camp you will learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Time Series Analysis in R
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.
Statistical Simulation in Python
In this Statistical Simulation in Python course offered by Data Camp you will learn to solve increasingly complex problems using simulations to generate and analyze data.
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
In this Nonlinear Modeling with Generalized Additive Models (GAMs) in R course offered by Data Camp you will learn about GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Sampling in R
In this Sampling in R course offered by Data Camp you will master sampling to get more accurate statistics with less data.
Hypothesis Testing in R
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.
Statistics Fundamentals in R
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.
Time Series in Python
In this Time Series in Python course offered by Data Camp you will gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.
Practicing Statistics Interview Questions in Python
In this Practicing Statistics Interview Questions in Python course offered by Data Camp you will prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Introduction to Statistics in Google Sheets
In this Introduction to Statistics in Google Sheets course offered by Data Camp you will learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Multivariate Probability Distributions in R
In this Multivariate Probability Distributions in R course offered by Data Camp you will learn to analyze, plot, and model multivariate data.
Generalized Linear Models in Python
In this Generalized Linear Models in Python course offered by Data Camp you will extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
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.
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.
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.