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Big Data & Data Analytics


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. Armed with this training, graduates of the course can participate in big data projects as associate data analysts.
The course is intended and is best suited for the following prospective participants:

  • Individuals and college graduates interested in a big data career as data scientist who have already earned a degree in or equivalent practical experience in business, science, engineering, software and data processing
  • Business intelligence professionals and data analysts who are interested in becoming knowledgeable about Big Data Analytics
  • Business leaders who are contemplating the applicability and utility of big data analytics in their businesses
  • Managers and executives who are interested in becoming effective participants in the selection, implementation and competent use of big data analytic solutions in their businesses