67 Short courses offered by the university

In this Sampling in R course offered by Data Camp you will master sampling to get more accurate statistics with less data.

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.

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.

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.

In this Hierarchical and Mixed Effects Models in R course offered by Data Camp you will learn to fit hierarchical models with random effects.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.