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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
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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
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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
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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
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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
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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
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Diseño y Ejecución de Encuestas por Muestreo
- 4 weeks Weeks
- 100% Online
- TA Support
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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
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Fundamentos de Encuestas de Hogares
- 4 weeks Weeks
- 100% Online
- TA Support
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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
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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
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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
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Introduction to Data Literacy
Learn how to understand and work with data using Excel.
- Introductory
- 4 Weeks
- 100% Online
- TA Support
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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
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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
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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
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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
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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
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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
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Introduction to R Programming
This course provides an easy introduction to programming in R.
- Introductory
- 4 Weeks
- 100% Online
- TA Support
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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
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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
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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
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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
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Maximum Likelihood Estimation
This course will teach you the derivation of maximum likelihood estimates and their properties.
- Intermediate
- 2 Weeks
- 100% Online
- TA Support
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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
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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
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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
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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
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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
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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
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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
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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
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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
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R for Statistical Analysis
This course will teach you how to use R for basic statistical procedures.
- Intermediate
- 4 Weeks
- 100% Online
- TA Support
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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
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R Programming – Introduction Part 2
This course is a continuation of the introduction to R programming.
- Introductory, Intermediate
- 4 Weeks
- 100% Online
- TA Support
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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
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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
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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
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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
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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