Students must complete at least 9 courses: normally 1 foundation course, 5 core courses, and 3 elective courses. Industry expert insights on IoT, AI and Machine Learning for all. You will learn how machine learning is used to predict engine failures, how artificial intelligence is used in anti-ageing, cancer treatment and clinical diagnosis, you will find out what technology is used in managing smart buildings and smart cities including Hudson Yards in New York. The course includes the interviews with industry experts that cover  big data developments in Real Estate, Logistics & Transportation and Healthcare industries. Data scientists and statistical officers combine statistics, mathematics, programming, problem-solving along with the activities of cleansing, preparing, and aligning the data so that it would be useful for everyone including government, scientists, health … In the introduction, the terms “data science” and its taxonomy are defined. It incorporates techniques of statistics and mathematics, such data mining, multivariate data analysis and visualization, along with computer science and even machine learning to draw knowledge from data and provide both insights and decision paths. In today's era of Information, ‘Data’ is the new driving force, provided we know how to extract relevant ‘Intelligence’. Anyone can learn from this course. Examples of Big Data and Data Science in Practice (Healthcare, Logistics & Transportation, Manufacturing, and Real Estate & Property Management industries). Many startups and MNC's across worldwide are trying to show their supremacy by adopting to this well significant technologies. Data Science and artificial intelligence (AI) are the emergent fields of activity with the most important needs within the digital economy in the coming years. You will learn about big data, Internet of Things (IoT), data science, big data technologies, artificial intelligence (AI), machine learning (ML) algorithms, neural networks, and why this could be relevant to you even if you don't have technology or data science background. In today's world, technology is growing very fast, and we are getting in touch with different new technologies day by day. - ED GODBER - Healthcare Strategist with over 20 years of experience in Healthcare, Pharmaceuticals and start-ups specialising in Artificial Intelligence. Big Data Technology & Tools for Non-Technical Leaders. Please note that this is NOT TECHNICAL TRAINING and it does NOT teach Coding/Development or Statistics. If you are like me - finding it difficult to read thick manuals with formulae, but still very much interested in modern technologies and their applications, then this course is for you. Honours Bachelor’s degree or equivalent in data science, computer science, statistics, mathematics or a related field, with a minimum overall average of 78%. We have got fantastic guest speakers who are the experts in their areas: - WAEL ELRIFAI - Global VP of Solution Engineering - Big Data, IoT & AI at Hitachi Vantara with over 15 years of experience in the field of machine learning and IoT. Here, one of the booming technologies of computer science is Artificial Intelligence which is ready to create a new revolution in the world by making intelligent machines.The Artificial Intelligence is now all around us. English language proficiency (ELP) (if applicable). I design my own training courses, and offer production services to other instructors/lecturers or organisations. This course will start with the core principles of Data Science, and will equip you with the basic tool and techniques of data handling, exploratory data analysis, data visualization, data-based inference, and data-focussed communication. Putting the ‘G’ in ‘AI’: An Overview of Terms used in (Narrow/Applied) AI- and what they mean to each other”, Suraj Jena, June 10, 2018 “Artificial Intelligence and Machine Learning in the Media Sector”, Fraunhoker Fokus AU: 3 | Prerequisite: EE1005 | LAMS/TEL(Online Videos & Resources) (16); Example Classes (26 hrs) Course Aims. Data Science & Artificial Intelligence. Google’s Search Engine – Artificial Intelligence Interview Questions – Edureka. 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