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COM SCI X 414.56
For those with basic database management knowledge, this course introduces important considerations in database application development and various technologies that have made possible database publishing on the Internet.
COM SCI X 414.65
For those with SQL knowledge, this course covers advanced SQL statements used in inserting, retrieving, and updating a database. Students learn how to use advanced features of SQL commands and other advanced topics.
Format: Online
COM SCI X 418.106
This course introduces Pandas, one of the core Python data analysis packages, and uses it as the basis for performing various types of data analysis tasks. Essential data visualization techniques will also be covered. 
Format: Hybrid
COM SCI X 450.00
This course is for students with limited or no prior programming, statistics, and data analytics knowledge. This course is ideal for absolute beginners, business analysts, or non-tech managers who want to acquire a basic working knowledge of data science.
Format: Online | Remote Instruction | Classroom | Hybrid
COM SCI 800.003
This project-based Data Science Practicum provides students with the opportunity to gain real-world experience working with our industry partners. Each practicum cohort is sponsored by a company or organization.
Format: Remote Instruction | Classroom
COM SCI X 450.2
Students will learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as R Programming for data analysis, and Tableau for data visualization.
Format: Online | Remote Instruction | Classroom
COM SCI X 450.3
In this course, you learn all about Hadoop & its framework consisting of tools for distributed storage and data processing, to an open-source framework while addressing distributed storage and large data set processing.
Format: Online | Remote Instruction | Classroom
COM SCI X 450.1
This course introduces students to the evolving domain of data science and the foodchain of knowledge domains involved in its application. Students learn a range of challenges and questions that data science helps address.
Format: Online | Remote Instruction | Classroom
COM SCI X 450.4
This course focuses on using the language R for machine learning, which is concerned with algorithms that transform information into actionable intelligence.
Format: Online | Remote Instruction | Classroom
COM SCI X 450.8
Get an introduction to the core concepts needed to implement a neural network application in Tensorflow. A final project crystallizes key concepts and familiarizes students with Tensorflow protocols.
COM SCI X 418.107
Numerical computing plays an essential role in data processing. Get an introduction to core numerical methods using Python. The Python package for numerical computing, Numpy, is used for implementing these methods.
Format: Remote Instruction
COM SCI X 450.7
This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.
Format: Remote Instruction | Classroom
COM SCI X 418.104B
Python is a high-level, dynamically typed, and portable programming language that excels when the cost of software development outweighs performance considerations.
Format: Remote Instruction | Online | Hybrid
COM SCI X 414.51
Learn relational database technology, data modeling, SQL, the translation of logical designs to physical storage structures, database integrity, storage and client/server management, and introduction to query optimization.
Format: Online | Remote Instruction | Classroom
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