in Data Analytics
Tuition & Fees
per year
Microcourses
courses
Provides an overview of quantitative methods essential for analyzing data, with an emphasis on business and industry applications. Standard and open source statistical packages are used to apply techniques to real-world problems.

ADTA 5130A
Exploratory Data Analysis & Probability

ADTA 5130B
Sampling, Inference, and Hypothesis Testing

ADTA 5130C
Correlation & Regression: Generating Solutions
Course extends the concepts developed in ADTA 5130 Data Analytics 1 to multivariate and unstructured data analysis. Modern techniques of multivariate analysis, including association rules, classification methods, time series, text analysis and machine learning methods are explored and implemented with real-world business and industry data. Course provides hands-on introduction to state-of-practice technology and tools. The focus of the course is on the application and interpretation of the methods discussed.

ADTA 5120A
Coming Soon

ADTA 5120B
Coming Soon

ADTA 5120C
Coming Soon
Provides an introduction to collecting, storing, managing, retrieving and processing datasets. Techniques for large and small datasets are considered, as both are needed in data science applications. Emphasizes applications and includes many hands-on projects.

ADTA 5240A
Storing & Harvesting Data

ADTA 5240B
Principles of Data Wrangling and Queries

ADTA 5240C
Principles of Data Structures
Presents strategies and methods for effective visualization and communication of large data sets. Standard and open source data visualization packages are used to develop presentations that convey findings, answer business questions, drive decisions and provide persuasive evidence supported by data.
This course covers the latest methods for discovery and learning from large data sets. Topics complemented by hands-on projects using data discovery and statistical learning software.

ADTA 5340A
Coming Soon

ADTA 5340B
Coming Soon
