CIT is the renowned training and most effective program. ... The Program covers the Introduction of Information Technology, where basics and computer hardware and Networking program are being covered.The Program covers the Introduction of Information Technology, where basics and computer hardware and Networking program are being covered. Further, the program also covered the complete Office Automation part, where MS Office including MS Word, MS Excel, and MS PowerPoint with Internet shall also be covered. Further, the Program also covers the Graphical orientation with Adobe Photoshop and also gives the sound idea about Web designing through Adobe Dreamweaver. The last but not least the program has also covered the Basic of C# with Concepts of OOPS including .NET Framework shall be covered. The CIT - Certification in Information Technology program majorly covers the following:Introduction to the use of spreadsheets in business. Emphasis is on learning spreadsheet literacy concepts and a popular spreadsheet application to solve business problems.CIT 381 - Business Intel and Analytics
This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making and strategy. Business Intelligence requires foundational knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards are addressed
This course also provides an introduction to Analytics, or the automation of analysis, including an overview of qualitative and quantitative analysis methods and methods used to automate these processes for speed, interactivity, and quality (reliability and validity). Several examples of modern types of analytics will be introduced and explored such as descriptive, diagnostic, discovery, predictive, and prescriptive approaches.
Each semester we seek out opportunities to work with real world companies, organizations on campus, or public data to examine how they and/or we can more effectively leverage existing data and how to redesign their data flows to set up improved data analysis.This course introduces concepts, issues, approaches, tools, and techniques applicable to the management of projects. Projects can be defined as any temporary endeavor undertaken to create unique product, service, or result. The course explores how a manager can plan, organize, implement and control non-routine activities to achieve cost, schedule and performance objectives.