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You'll be taught in our computer labs by an industry pro using state-of-the-art technologies, software and equipment.*WHO* • Individuals who want to improve the performance of their organization by harnessing Big Data.
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.
• Students in fields like geography, biology, psychology, humanities or any other field with big data. Then you'll learn how to identify and collect structured and unstructured data and store it into a No SQL / Hadoop infrastructure.
• IT professionals who want to transition to Big Data from more traditional sectors. The world is in dire need of people like you who can tap into Big Data and use it to solve real business challenges. You'll learn how to create a data lake from Big Data (Really? And once you've learned how to do that, you'll be two thirds of the way to earning your certificate of Big Data Business Analytics and Visualization and opening the doors to your new career. *CNT* This course is a great way to help you: • Discover how to create a data lake from Big Data sources; • Compare different types of No SQL storage architectures and solutions; • Use Hodoop to store structured and unstructured 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.
• Employees in the business-intelligence field who want to upgrade their skills or broaden their horizons.
• Employees or students who want to become Data Scientists. Big Data systems involve a wide range of technologies that can only be understood when you master the underlying technical concepts. Here, you'll learn about the basic technologies required to develop Big Data analytics solutions and deploy them at scale.
• Professionals who want to leverage data for better decision-making.
• Entrepreneurs with projects that could benefit from data analytics.
*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.
*VID* *KEYB* So, you had your introduction to Big Data, then you learned all about analytics.