Learn.
Apply.
Advance.
Browse Our Data Science Courses
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
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
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
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
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 Data Literacy
Learn how to understand and work with data using Excel.
- Introductory
- 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 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
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
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 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 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
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
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
- Learn More