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• 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.

*APP* In this course, you'll gain real-world knowledge, experience and insights through lectures from experienced pros who'll show you the ropes.

More excitingly, you'll learn through hands-on projects using the most powerful equipment and the very latest software like data transformation tools, No SQL and Hadoop, Data Visualization and Data Storytelling tools. *WHO* • Anyone who wants to learn the fundamentals of Big Data.

*WHO* • Students who completed CEBD 1160 and want to continue their studies.

• Individuals who want to improve the performance of their organization by better harnessing Big Data.

You'll cover topics like mining of frequent item sets, clustering, stream analysis, similarity search, machine learning and recommendation systems.

• Entrepreneurs with projects that could benefit from data analytics.

*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.

In this course, you'll use sophisticated data-visualization tools to understand data and share information with others.

You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.

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• Students in fields like geography, biology, psychology, humanities or any other field with big data.