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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
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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
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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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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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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
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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
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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 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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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
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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
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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
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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
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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
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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 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
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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
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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
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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
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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