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• Students who want to work in Big Data / Data Science for a large- or medium-sized company.• Students who want to create their own startup in Data Science / Big Data.*CNT* This course is a great way to help you: • Gain a practical understanding of the challenges in Big Data analytics; • Understand the main elements of computer architectures; • Acquire basic proficiency with the Linux operating system to deploy and run Big Data systems; • Learn basic programming skills to develop Big Data analytics solutions.*APP* This course employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory.• Professionals who want to leverage data for better decision-making.• Entrepreneurs with projects that could benefit from data analytics.
• Individuals who want to improve the performance of their organization by better harnessing Big Data.• Employees or students who want to become Data Scientists.*VID* *KEYB* Get ready to delve into the core concepts and implementation of Big Data analytics. Well, based on practical examples from well-known systems like Netflix, You Tube or Twitter, your instructor will describe some fascinating Big Data problems, introduce the standard algorithms used to address them, and present libraries used to implement those algorithms.• Employees or students who want to become Data Scientists. In the first two courses, you learned how to collect and store Big Data.Now comes the fun part: mining that data for gold and then spinning that gold into compelling business stories that captivate and convince.