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• Professionals who want to leverage data for better decision-making.

• Entrepreneurs with projects that could benefit from data analytics.

It will start with an overview of the most and least successful big data projects in all industries, helping you understand the dos and don’ts that make a data science project successful.

You'll also have the chance to imagine and design your own project.

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

This course will take you two thirds of the way to earning your Big Data certificate. *CNT* This course is a great way to help you: • Understand the broad classes of methods used to address big data challenges; • Learn the main algorithms to implement those methods; • Apply those algorithms on realistic problems using existing software libraries.

*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.

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Once you've finished this course, you can take a moment to congratulate yourself before you dive into even bigger data on the path to completing your certificate.

• 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.

*VID* *KEYB* You're interested in Big Data software systems and technology, clearly, or you wouldn't be reading this.

But if you're more interested in harnessing those tools to achieve specific business objectives, this course is for you.

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