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All Biostatistics Data Science Programming Statistics Social Science

Analysis of Survey Data from Complex Sample Designs

This course will teach you how to estimate descriptive quantities and sampling variances from complex surveys, and also how to fit linear and logistic regression models to complex sample survey data.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Bayesian Statistics in R

This course will teach you how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data Using R and the associated R package JAGS.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Biostatistics For Credit

Biostatistics for Credit reviews the procedures covered in the introductory courses Biostatistics 1 and Biostatistics 2, and covers in more detail the principal statistical concepts used in medical and health sciences.
  • Intermediate
  • 8 Weeks
  • 100% Online
  • TA Support
  • Learn More

Bootstrap Methods

This course will teach you the basic theory and application of the bootstrap family of procedures with the emphasis on applications.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Calculus Review

In this course you will learn how to define and describe informally the limit of a function and apply this limit to the tangent line problem. This leads to the idea of a derivative of a function, which you will learn to apply. You will also learn how to define and describe informally the integral, use the integral to answer area problems, and apply integration to the statistics problem of estimating probability density functions
  • Introductory
  • 3 Weeks
  • 100% Online
  • TA Support
  • Learn More

Categorical Data Analysis

This course will teach you the analysis of contingency table data. Topics include tests for independence, comparing proportions as well as chi-square, exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Clinical Trials – Pharmacokinetics and Bioequivalence

This course will teach you the statistical measurement and analysis methods relevant to the study of pharmacokinetics, dose-response modeling, and bioequivalence. The course provides practical work with actual/simulated clinical trial data.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Customer Analytics in R

In this course you will work through a customer analytics project from beginning to end, using R.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Designing Valid Statistical Studies

This course will teach you how to design studies to produce statistically valid conclusions. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Discrete Choice Modeling and Conjoint Analysis

This course will teach you to design appropriate conjoint and choice studies using surveys, panels, designed experiments, be able to analyze and interpret the resulting data.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Diseño y Ejecución de Encuestas por Muestreo

Forecasting Analytics

This course will teach you how to choose an appropriate time series model: fit the model, conduct diagnostics, and use the model for forecasting.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Fundamentos de Encuestas de Hogares

Generalized Linear Models

This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Independent Data Monitoring Committees in Clinical Trials

This course will teach you the statistical display and analysis methods used in monitoring clinical trials for safety, as well as the biases and pitfalls inherent in safety review.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Integer and Nonlinear Programming and Network Flow

This course will teach you a number of advanced topics in optimization: how to formulate and solve network flow problems; how to model and solve optimization problems; how to deal with multiple objectives in optimization problems, and techniques for handling optimization problems.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Interactive Data Visualization with Tableau

This course will teach you the principles of the visual display of data both for presentation and analysis data.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Bayesian Computing and Techniques

This course will teach you how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Bayesian Hierarchical and Multi-level Models

This course will teach you how to extend the Bayesian modeling framework to cover hierarchical models and to add flexibility to standard Bayesian modeling problems.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Data Literacy

Learn how to understand and work with data using Excel.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Design of Experiments

This course will teach you the application of DOE rather than statistical theory, and teaches full and fractional factorial designs, Plackett-Burman, Box-Behnken, Box-Wilson and Taguchi designs.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Item Response Theory (IRT)

This course will teach you the statistical basis for analyzing multiple-choice survey or test data – item response theory (IRT).
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to MCMC and Bayesian Regression via rstan

In this course, students learn how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using R and rstan.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Network Analysis

This course will teach you a mix of quantitative and qualitative methods for describing, measuring, and analyzing social networks.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to NLP and Text Mining

In this course you will be introduced to the essential techniques of natural language processing (NLP) and text mining with Python.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Python Programming

This course will introduce you to the basics of programming in Python on either Windows or Mac platform.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to R Programming

This course provides an easy introduction to programming in R.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Statistical Issues in Clinical Trials

This course will teach you the basic statistical principles in the design and analysis of randomized controlled trials.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introduction to Structural Equation Modeling (SEM)

This course will teach you the fundamental concepts and theory of Structural Equation Modeling, including model specification, model identification, model estimation, model testing, and model modification.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Introductory Statistics for Credit

This course will teach you the equivalent of a semester course in introductory statistics.
  • Introductory
  • 8 Weeks
  • 100% Online
  • TA Support
  • Learn More

Many-Facet Rasch Measurement

This course will teach you the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Matrix Algebra

This course will teach you the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Maximum Likelihood Estimation

This course will teach you the derivation of maximum likelihood estimates and their properties.
  • Intermediate
  • 2 Weeks
  • 100% Online
  • TA Support
  • Learn More

Meta Analysis 1

This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Meta Analysis 2

This course will teach you advanced issues in meta-analysis and the statistical analyses that are used to synthesize summary data from a series of studies.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Meta Analysis in R

The course covers the fundamentals of the fixed and random effects models for meta-analysis, the assessment of heterogeneity, and evaluating bias.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Mixed and Hierarchical Linear Models

This course will teach you the basic theory of linear and non-linear mixed effects models, hierarchical linear models, algorithms used for estimation, primarily for models involving normally distributed errors, and examples of data analysis.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Modeling Count Data

This course will teach you regression models for count data, models with a response or dependent variable data in the form of a count or rate, Poisson regression, the foundation for modeling counts, and extensions and modifications to the basic model.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Modeling in R

This course will show you how to use R to create statistical models and use them to analyze data.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Multivariate Statistics

This course will teach you key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis, and classification.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

NLP and Deep Learning

In this course you will learn about deep neural networks, and how to use them in processing text with Python (Natural Language Processing or NLP).
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Optimization with Linear Programming

This course will teach you the use of mathematical models for managerial decision making and covers how to formulate linear programming models where multiple decisions need to be made while satisfying a number of conditions or constraints.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Persuasion Analytics and Targeting

This course will teach you how to apply predictive modeling methods to identify persuadable individuals and to target voters in political campaigns.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics – Project Capstone

A predictive modeling practicum for the predictive analytices course program.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 1 – Machine Learning Tools

This online course introduces the basic paradigm of predictive modeling: classification and prediction.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 1 with Python – Machine Learning Tools

This course introduces the basic paradigm for predictive modeling: classification and prediction.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 1 with R – Machine Learning Tools

This course introduces to the basic predictive modeling paradigm: classification and prediction.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 2 – Neural Nets and Regression

As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics to visualize and explore predictive modeling.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 2 with Python – Neural Nets and Regression

As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics, with a focus on Python, to visualize and explore predictive modeling.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 2 with R – Neural Nets and Regression

As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics, with a focus on R, to visualize and explore predictive modeling.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules

This course will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 3 with Python – Dimension Reduction, Clustering, and Association Rules

This course, with a focus on Python, will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics 3 with R – Dimension Reduction, Clustering, and Association Rules

This course, with a focus on R, will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Predictive Analytics for Healthcare

This course introduces the basic predictive modeling paradigm: classification and prediction, with applications in healthcare.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Principal Components and Factor Analysis

In this course, you will learn how to make decisions in building a factor analysis model – including what model to use, the number of factors to retain, and the rotation method to use.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Python for Analytics

This course will teach you the basic Python skills and data structures – how to load data from different sources and aggregate it, and how to analyze and visualize it to create high-quality products.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

R for Statistical Analysis

This course will teach you how to use R for basic statistical procedures.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

R Programming – Intermediate

This course will teach experienced data analysts a systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code. After completing the course, students should be able to manipulate data programmatically using R functions of their own design.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

R Programming – Introduction Part 2

This course is a continuation of the introduction to R programming.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Rasch Measurement – Core Topics

This course will teach you how Rasch analysis constructs linear measures from scored observations. You will learn the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Rasch Measurement – Further Topics

This course will teach you Rasch theory and its application in the Winsteps software begun in Practical Rasch Measurement-Core Topics. This course introduces exciting new topics and delves into earlier topics more deeply.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Recorded Webinar on Content Optimization with Multi-Armed Bandits & Python

An overview of visualization in Python
  • Intermediate
  • 1 Weeks
  • 100% Online
  • TA Support
  • Learn More

Regression Analysis

This course will teach you how multiple linear regression models are derived, assumptions in the models, how to test whether data meets assumptions, and develop strategies for building and understanding useful models.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Responsible Data Science

This course, for both data science practitioners and managers, provides guidance and tools to build better models that avoid bias and unfairness.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Risk Simulation and Queuing

This course will teach you modeling technique making decisions in the presence of risk or uncertainty, including risk analysis using Monte Carlo simulation, queuing theory for problems involving waiting lines, and decision trees for analyzing problems with multiple discrete decision alternatives.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Sample Size and Power Determination

This course will teach you how to make sample size determinations for various statistical tests and for confidence intervals, as needed for experimental studies such as comparison studies, as well as for other types of experiments.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Spatial Statistics for GIS Using R

This course will teach you spatial statistical analysis methods to address problems in which spatial location. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

SQL – Introduction to Database Queries

This course will teach you how to extract data from a relational database using SQL and merge data into a single file in R so that you can perform statistical operations.
  • Introductory, Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Statistical and Machine Learning Methods for Analyzing Clusters and Detecting Anomalies

This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Structural Equation Modeling (SEM) Using R

This course will teach you how to implement structural equation models (SEM) using R.
  • Intermediate, Advanced
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Survey Analysis

This course will teach you how to analyze data gathered in surveys.
  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Survey Design and Sampling Procedures

  • Introductory
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Survival Analysis

This course will teach you the various methods used for modeling and evaluating survival data or time-to event data.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More

Visualization in R with ggplot2

This course will teach you ggplot as an implementation of the grammar of graphics in R. ggplot combines the advantages of base and lattice graphics while maintaining the ability to build up a plot step by step from multiple data sources.
  • Intermediate
  • 4 Weeks
  • 100% Online
  • TA Support
  • Learn More
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