Certified Big Data Science Professional (Module 3) KnowLogic Center for Management & Training
Price: AED 4,000

    Course details

    KnowLogic Center is a Licensed Training Partner with Arcitura (Big Data science School) the certifying body for Big Data professional Certifications. Our training program is made up of comprehensive preparation classes, revision sessions, and a complete set of training materials. Our program is delivered by Sr. Scientist (Professor in Data Science from Lyon University - France)

    What will I learn?

    This course module presents participants with a series of exercises and problems designed to test their ability to apply knowledge of topics covered previously in course modules 1 and 2. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data analysis and technology and practices as they are applied and combined to solve real-world problems.

    As a hands-on lab, this course provides a set of detailed exercises that require participants to solve a number of inter-related problems, with the goal of fostering a comprehensive understanding of how Big Data environments work from both front and back-ends, and how they are used to solve real-world analysis and analytics problems.

    Our instructor will works closely with participants to ensure that all exercises are carried out completely and accurately.

    Target Audience:

    Performance improvement and strategy specialists; Business and data analysts; BI project managers; BI and data warehouse architects; designers and developers; data governance and data quality professionals; and anyone seeking to cut through the hype to understand the opportunities, challenges, and realities of the big data phenomenon.

    Course Benefits:

    This program explores a range of the most relevant topics that pertain to Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions.

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