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Program Description This course will teach students to work on various real world big data projects using different Big Data tools as a part of solution strategy. The course will provide students' knowledge and skills to process big data on platforms that can handle the variety, velocity, and volume of data. This comprehensive training on framework provides bands on experience for solving real time industry based big data projects to become au expert in Big Data. This course teaches the important concepts and terminology for working with Google Cloud. The courses explain how the cloud computing evolved and how the unique features of Google's approach to it. Course Objectives • Student will learn how to format data using new technologies and techniques • Learn about the fundamentals of databases and learn the basic principles of Big Data • Learn the basic tools for statistical analysis, R and Python, and several machine learning algorithms. • Learn and compare many of the computing and storage services available in Google Cloud Platform • Learn about important resource and policy management tools used • Learn the skills needed to be successful in a cloud architecture role. Course Delivery Option: Classroom, Online/Distance Leaming/Distance Learning Sequence and frequency of class sessions: Every 6 weeks Related Job Titles/Occupations Software Developers, Applications SCO Code 15-1132.00 Instruction Details Students will learn tools and analytical methods to use data for decision -making, collect and organize data at scale, and gain an understanding of how data analysis can help to inform change within organizations. This course will develop both the technical and computational skills that are in high demand across a range of industries. The course gives practical exercises to familiarize students with the format of big data and how to handle and analyze large, complex and data structures. Students will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services. Students will be prepared to take the Google Cloud certification exam. Program In Duration: Course Name Clock Hours Duration Maximum Completion Time Big Data and Google Cloud 400 hours 20 weeks 30 weeks Pre -Requisite: Basic Computer Knowledge Instructional Material: Textbooks Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Technology Series from Thomas Erl) by Thomas Erl, Wajid Khattak, et al. Google Cloud Certified Professional Cloud Architect: Introducing Google Cloud (Third Edition) by Soumen Chatteriee Tuition Fee: $8,004; Registration Fee: $75 (Non-refundable); Book: $200.00 Requirement for completing the program End of the program students are required to complete all the projects and lab work assigned during the program. Student will get the course completion certificate after completing the examination and the projects. Student may take the Big Data and Google Cloud certification exams 54