Course Details

IST 687 - Introduction to Data Science:

Identify problems and organize data at various stages of a project life cycle to Scripting code for data management using R and Rstudio

Project: Google Play Store Apps

MBC 638 - Data Analysis and Decision Making:

Identify problems and implement DMAIC method and the appropriate statistical tools for a given set of conditions in order to acquire knowledge and making decisions in today’s business

Project: Health Condition Improvement Project

IST 659 - Data Administration Concepts and Database Management:

Examine data structures, file organizations, concepts, and principles of database management systems (DBMS) as well as data analysis, database design, data modeling, database management, and database implementation

Hierarchical, network, and relational data models; entity-relationship modeling; basics of Structured Query Language (SQL); data normalization; and database design

IST 707 - Data Analytics:

Employ data storytelling and apply data mining concepts, algorithms and evaluation methods for technical designs and solutions

Project: Student Performance

IST 718 - Big Data Analytics:

Develop analytical processing tools and techniques for information professionals using Python, Spark, and TensorFlow

IST 652 - Scripting for Data Analysis:

Scripting for the data science pipeline. Acquiring, accessing, and transforming data in the forms of structured, semistructured, and unstructured data.

Project: Pokémon

IST 772 - Quantitative Reasoning for Data Science:

The principles of correct interpretation of statistical evidence on bivariate Pearson correlation, Analysis of Variance, Least Squares Multiple Regression, and Binomial Logistic Regression

The foundations of statistical inference with a focus on the connections among traditional frequentist inference methods and Bayesian inference

IST 769 - Advanced Database Administration Concepts and Database Management:

Knowledge of the strengths and weaknesses of various database systems in the relational, Hadoop, and noSQL spaces (MongoDB, Redis, Cassandra and Kafka) for big data challenges

IST 664 - Natural Language Processing:

Linguistic and computational aspects of natural language processing technologies.

IST 736 - Text Mining:

Concepts and methods for knowledge discovery from large amounts of text data and the application of text mining techniques for business intelligence, digital humanities, and social behavior analysis

Project: Text Prediction From Review

Web Application