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-- -- - Machine Learning -and DataScience --- - - ----I Program Description This package provides an understanding of the foundations of data science and its applications and a broad introduction to machine learning and algorithms and learn how the data science process can be used to address business problems. Course Objectives • How machine leaming uses algorithms to search for patterns in data • Learn the principles of machine learning and the importance of algoriduns. • Understanding of machine learning • Learn how complex data can be harnessed to grow and scale an organization 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 The courses will discuss about the recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. The course will teach how to develop your planning and strategy skills by implementing a data science project. Program In Duration: Course Name Clock Hours Duration Maximum Completion Time Machine Learning and Data Science 300 hours 15 weeks 22.5 weeks Pre -Requisite: Basic Computer Knowledge Instructional Material: Textbook Guide for Beginners to Understand Data Science Through the Business Applications Kindle Edition by Samuel Hack Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben - David Total Charges for Period of Attendance & Estimated charges for entire Program: $6,000.00 Tuition Fee: $5, 725.00; Registration Fee: $75 (Non-refundable); Book: $200.00 Requirement for completing the program End of the program students are required to complete the projects in Machine Learning and Data Science. Student will get the course completion certificate Cl