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Big Data and Data Bricks 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' luiowledge and skills to process big data on platforms that can handle the variety, velocity, and volume of data. This comprehensive training on framework provides hands on experience for solving real time industry based big data projects to become an expert in Big Data. Databricks is a cloud -based data engineering tool used for processing and transforming massive quantities of data and exploring the data through machine learning models. Course Objectives • Student will learn how to format data using new technologies and techniques • Learn about the fundamentals of databases and learn basic principles of Big Data • Learn the basic tools for statistical analysis, R and Python, and several machine leaning algorithms • Understanding of the basics of the Spark architecture • Ability to apply the Spark Data Frame API to complete individual data manipulation tasks. • Leam the skills to pass the certification exam and to gain the industry recognition Course Delivery Option: Classroom, Online/Distance Learning/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. The course will teach students how to transform their businesses using cloud. The students will able to learn how to secure cloud computing service platform, its advantages on functionality to help businesses scale and grow. Student will also learn to run web and application servers in the cloud to host dynamic websites. Program In Duration: Course Name Clock Hours Duration Maximum Completion Time Big Data and Data Bricks 400 hours 20 weeks 30 weeks Pre -Requisite: Basic Computer Knowledge Instructional Material: Textbook Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Technology Series from Thomas Erl) by Thomas Ed, Wajid Khattak, et al. Azure Databricks A Complete Guide - 2019 Edition by Gerardus Blokdyk Total Charges for Period of Attendance & Estimated charges for entire program: $8,279.00 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 Data Bricks certification exams 52