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This course focuses on applying emotional intelligence for the role of a project manager; selecting a project; selecting a team; documentation and tracking of a project using Project Manager Book of K
This course focuses on the role of a program manager, identifying strategic objectives, manage the program life cycle, manage stakeholder expectations and governance.
This course focuses on the role of a portfolio manager, doing a strategic alignment, governance, managing portfolio performance, risk and communication.
This course builds the foundational concepts of data science for students in any major. By working with real-world data from a variety of disciplines such as economic, health, and social data, the cou
This course reviews core prerequisite skills, competencies, and concepts needed to study data science and is intended for students concurrently enrolled in Data Science for All.
This course covers systems programming in the Unix/Linux/Posix environments, with emphasis on low-level Unix/Linux/Posix system calls from C programs and Shell scripts. The course also discusses the d
This course provides knowledge and skills to set up, configure, use, and support the Microsoft Windows server and workstation operating systems. Windows features including configuring and troubleshoot
This course is a comprehensive introduction to the C++ programming language and its applications.
This course defines and illustrates the advantages of applying the object-oriented paradigm to analyze and design complex software applications and integrate them seamlessly into a 3-tier software ent
Concepts and use of operating systems: multiprogramming and multiprocessing systems; processor interrupts, processes and threads, mutual exclusion, indefinite postponement, deadlocks; scheduling consi
This course is a review of core prerequisite skills, competencies, and concepts needed when studying data science and is intended for students who are concurrently enrolled in Data Science for All.
Introduction to Big-Data deluge, management of unstructured and structured data, and design of large-scale database systems. Concepts covered include Map-reduce parallel processing algorithms, Real-ti
This course is an introduction to the R programming language and its utility in big data analytics. Topics covered include data objects, data cleansing, merging and sorting, statistical analysis of da
This course addresses the fundamental challenges in the design, implementation, and deployment of large-scale distributed systems. Concepts covered include concurrency, synchronization, connection est
This course is an introduction to the strategies and technologies used in business intelligence reporting and dashboards for making data-driven decisions.
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