Laserfiche WebLink
Big Data <br />Program Description <br />This course will teach students to work on various real -world big data projects using different Big Data tools as a <br />part of solution strategy. The course will provide students' knowledge and skills to process big data on platforms <br />that can handle the variety, velocity, and volume of data. This comprehensive training on framework provides hands <br />on experience for solving real time industry based big data projects to become an expert in Big Data. <br />Course Objectives <br />• Student will learn how to format data using new technologies and techniques <br />• Learn about the fundamentals of databases <br />• Learn basic principles for working with Big Data <br />• Learn the basic tools for statistical analysis, R and Python, and several machine learning algorithms. <br />Course Delivery Option: Classroom, Online/Distance Learning/Distance Learning <br />Sequence and frequency of class sessions: Every 6 weeks <br />Related Job Titles/Occupations <br />Software Developers, Applications SCO Code 15-1132.00 <br />Instruction Details <br />Students will learn tools and analytical methods to use data for decision -making, collect and organize data at scale, <br />and gain an understanding of how data analysis can help to inform change within organizations. This course will <br />develop both the technical and computational skills that are in high demand across a range of industries. The course <br />gives practical exercises to familiarize students with the format of big data and how to handle and analyze large, <br />complex and data structures. <br />Program In Duration: <br />Course Name Clock Hours Duration Maximum Completion Time <br />Big Data 240 hours 12 weeks 18 weeks <br />Pre -Requisite: Basic Computer Knowledge <br />Instructional Material: <br />Textbooks <br />Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Technology Series <br />from Thomas Erl) by Thomas Erl, Wajid Khattak, et al. <br />Total Charees for Period of Attendance & Estimated charges for entire uroeram: $4,877.50 <br />Tuition Fee: $4, 727.50; Registration Fee: $75 (Non-refundable); Book: $75.00 <br />Requirement for completing the program <br />End of the program students are required to complete all the projects and lab work assigned during the program. <br />Student will get the course completion certificate after completing the examination and the projects. Student may <br />take the Big Data Certification exam. <br />50 <br />