25.9.12
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Big Data & Data Analytics

Jamaal D. Broome

Currently, demand for workers with analytical expertise is extremely high. Join us to obtain a comprehensive introduction into the critical and practical elements of big data analytics, including: data structure, warehousing, statistics, analysis, patterns, trends, relevancy, model building, visualization techniques and more. Completion of this course can enable students to participate in big data projects as analysts. The course is best suited for individuals and college graduates interested in data-related careers, including positions as business or data analysts. Recommended: degree in or equivalent practical experience in business, science, engineering, software and/or data processing. This course provides a comprehensive foundation in big data analytics and covers the important and practical elements of the field.

Issued on

December 15, 2016

Expires on

Does not expire