Build on foundational database knowledge and explore more complex and specialized areas in database management for application development. Students will study relational and non-relational databases, including design and administration of architectures and…
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Technology and Information Management courses
Technology and Information Management courses in The Course Register: browse 39 active and 39 total continuing, professional, and extension Technology and Information Management listings with start dates, tuition, enrollment status, format, and issuing-source links.
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Technology and Information Management Register
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Create a fully-fledged web-software application that is designed, built and tested using your knowledge of software development concepts and contemporary frameworks, technologies and methodologies. You will integrate a variety of technologies, architectures…
Gain an overview of a comprehensive range of topics essential for mastering back-end development with modern frameworks, blending theoretical knowledge with practical, hands-on activities to ensure students gain both understanding and experience. You will…
Complete your own data analytics project that centers on a real-world problem to add to your portfolio of work. Throughout this course students demonstrate their knowledge of data analytics methods and techniques by planning, exploring, analyzing,…
Learn to analyze and mine data with the Structured Query Language (SQL). Building on the fundamentals of SQL, advance into data analysis and data mining with real applications. Use spreadsheets to further analyze, manipulate and present your data exploration…
This course provides students the opportunity to conduct a data science project that centers on a real-world problem of the student’s choosing. The course focuses on data science from a project-based perspective. Throughout this course students demonstrate…
This course provides a hands-on introduction to the practice of data science using the Python programming language. Python has become a popular language for data science, in part because of the many useful libraries available in it. During this course, you…
Data Warehousing and Business Intelligence (BI) will explore the concepts, frameworks, and best practices for designing on-premises and cloud-based data warehousing solutions and explore how to use analytical tools to perform data analysis. The first few…
Learn to design and build effective, responsive and user-friendly web applications. You learn the fundamentals of front-end development and contemporary architectures by creating robust and dynamic web applications. Course topics include HTML, CSS and…
The term "Big Data" is used broadly to describe very large or complex data sets that cannot adequately be stored, processed, or analyzed using traditional database technologies. Big Data, in addition to large volume, may involve a wide variety of data types…
Get an overview of computer technology and programming. Using a Raspberry Pi, you learn how computers internally represent information, and the logic and hardware they use to process it. You also learn about programming languages and concepts using Python as…
Learn to protect computer technology assets using mechanisms to enforce confidentiality, integrity and availability of data. As fraud, identity theft and cyberwarfare continue to occur exponentially, online security is vital. In this course, you examine…
Learn the core concepts of data science, an interdisciplinary field dedicated to extracting knowledge and insights from structured and unstructured data through a combination of techniques from statistics, computer science and domain-specific expertise. Learn…
Machine learning and deep learning are the driving forces behind modern AI advancements. In this course, you expand on your foundational machine learning knowledge, diving deeper into advanced techniques and deep learning architectures. Explore neural…
Discover the flexibility of the powerful TensorFlow package when dealing with heavy financial, mathematical, engineering or scientific problems. Explore the concise and expressive use of TensorFlow advanced package for Python that features many functions and…
Go beyond the basics of Python with Mastering Python. In this intermediate to advanced level course, students examine the latest version of Python and its data structures in depth. This course also covers object oriented programming, filesystem, Web, and…
Once a niche set of tools for statisticians, programmers and quants, machine learning (sometimes also called data mining or statistical learning) has spread in popularity to a wide variety of applications and disciplines. Get a practical, hands-on…
Discover the power and flexibility of NumPy, SciPy and Matplotlib when dealing with heavy mathematical, engineering or scientific problems. Explore the concise and expressive use of Python’s advanced module features and apply them in probability, statistical…
Learn to utilize the R programming language for data manipulation, statistical analysis and graphics applications. R is available as free/open source software with thousands of available libraries or "packages'' for everything from time-series analysis and…
Explore a broad range of essential topics in web software security frameworks, combining theoretical knowledge with practical activities to develop a comprehensive understanding of web application security. Learn contemporary and fundamental security…
Get an overview of software design principles and cloud platforms in this course. You first review object-oriented design fundamentals and best practices for building software using design patterns. Then, you take a deep dive into coding each design pattern…
Create a fully-fledged web-software application that is designed, built and tested using fundamental concepts and contemporary frameworks, technologies and methodologies. Integrate a variety of technologies, architectures and methodologies from coursework…
Review software project management and discuss the latest approaches, methodologies and standards of software development. You learn to evaluate initial development costs and schedules; define test and prototype activities; determine risk management…
Gain a theoretical and a practical understanding of Quality Assurance in the context of Software Development and Engineering. You should be comfortable being asked to install and use an integrated development environment for homework assignments but this is…