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Data Science Courses

Data Science Courses

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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

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
  • 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 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 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
  • 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
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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
  • 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
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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 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
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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 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
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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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