DATA MODELING
DATA MODELING ONLINE
- M 6:10 p.m.-8 p.m.
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Instructor:
Steven Hoberman
Info - 3 points
APPLIED ANALYTICS FRAMEWORKS & METHDS II
APP AN FRAMEWORKS & METHODS II
- W 8:10 p.m.-10 p.m.
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Instructor:
David Shilane
Info - 3 points
APPLIED ANALYTICS FRAMEWORKS & METHDS II
APAN FRMWRKS & MTHDS II ONLINE
- W 6:10 p.m.-8 p.m.
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Instructor:
Gurgen Hayrapetyan
Info - 3 points
PYTHON FOR DATA ANALYSIS
- S 12:10 p.m.-2 p.m.
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Instructor:
Helga Hartelt Baez
Info - 3 points
PYTHON FOR DATA ANALYSIS
PYTHON FOR DATA ANALYSIS ONLNE
- T 8:10 p.m.-10 p.m.
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Instructor:
Max Vilenchik
Info - 3 points
RESEARCH DESIGN
RESEARCH DESIGN ONLINE
- R 8:10 p.m.-10 p.m.
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Instructor:
Natasa Rajicic
Info - 3 points
SQL
SQL & RELATIONAL DB
- T 6:10 p.m.-8 p.m.
- W 6:10 p.m.-8 p.m.
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Instructor:
Day Yi
Info -
Instructor:
Michael J Coakley
Info - 3 points
SQL
SQL & RELATIONAL DB ONLINE
- M 8:10 p.m.-10 p.m.
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Instructor:
Nikolaos Machairas
Info - 3 points
MACHINE LEARNING: CONCEPTS & APPLICATION
- W 8:10 p.m.-10 p.m.
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Instructor:
Adrian Heilbut
h-index: 13 Info - 3 points
MACHINE LEARNING: CONCEPTS & APPLICATION
MACHINE LEARNING ONLINE
- T 5:10 p.m.-7 p.m.
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Instructor:
Jinjun Xiong
Info - 3 points
MANAGING DATA
MANAGING DATA ONLINE
- R 6:10 p.m.-8 p.m.
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Instructor:
Mohamed Mneimneh
Info - 3 points
APPLIED TEXT AND NATURAL LANGUAGE ANALYT
APPLIED TXT & NAT LANG AN
- W 8:10 p.m.-10 p.m.
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Instructor:
Javid B Huseynov
Info - 3 points
APPLIED TEXT AND NATURAL LANGUAGE ANALYT
APPLD TXT & NAT LANG AN ONLINE
- M 6:10 p.m.-8 p.m.
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Instructor:
John Ortega
h-index: None Info - 3 points
CLOUD COMPUTING
Data analytics have become an essential component of business intelligence and informed decision making. Sophisticated statistical and algorithmic methodologies, generally known as data science, are now of predominant interest and focus. Yet, the underlying cloud computing platform is fundamental to the enablement of data management and analytics.
This course introduces students to cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Students will have hands-on exposure to VMs (Virtual Machines), databases, storage, microservices, and AI/ML (Artificial Intelligence and Machine Learning) services through Google Cloud Platform, et al. Cost and performance characteristics of alternative approaches will also be studied. Topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Throughout, students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, and IBM.
The course modules provide a blend of lecture and reading materials along with class exercises and programming assignments. While extensive programming experience is not required, students taking the course are expected to possess basic Python 3 programming skills.
The desired outcome of the course is the student’s ability to put conceptual knowledge to practical use. Whether you are taking this course for future academic research, for work in industry, or for an innovative startup idea, this course should help you master the fundamentals of cloud computing.
- M 8:10 p.m.-10 p.m.
- W 8:10 p.m.-10 p.m.
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Instructor:
Javid B Huseynov
Info -
Instructor:
Philip Shilane
Info - 3 points
STRATEGY AND ANALYTICS
STRATEGY AND ANALYTICS ONLINE
- M 6:10 p.m.-8 p.m.
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Instructor:
Diahanna L Post
Info - 3 points
ANALYTICS & LEADING CHANGE
ANALYTICS & LEADING CHNG
- S 10:10 a.m.-noon
- T 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
- R 8:10 a.m.-10 a.m.
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Instructor:
Paul J Bailo
Info -
Instructor:
Arunava Bhattacharyya
Info -
Instructor:
Anjana Bhattacharyya
Info -
Instructor:
Paula Darling
Info -
Instructor:
Joseph R Schlosser
Info - 3 points
ANALYTICS & LEADING CHANGE
ANALYTICS & LEADNG CHNG ONLINE
- M 6:10 p.m.-8 p.m.
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Instructor:
David Kreutter
Info - 3 points
STORYTELLING WITH DATA
STORYTELLING WITH DATA ONLINE
- T 8:10 p.m.-10 p.m.
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Instructor:
Michael Mangarella
Info - 3 points
INTERNSHIP IN INDUSTRY
- T 6:10 p.m.-8 p.m.
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Instructor:
Paul Maniaci
Info -
Instructor:
Tiya McIver
Info -
Instructor:
Kathleen Castro
Info -
Instructor:
Nicole Arndt
Info -
Instructor:
Mariela Torres
Info - 3 points