Certificate in Big Data Analytics

Certificate in Big Data Analytics

Program Details:

Daily production of data has reached 2.5 million terabytes in 2016 and is expected to increase exponentially. In this two-day hands-on course, participants will familiarize themselves with the building blocks of big data, will experiment with statistical and data management tools like R, Mongo DB and Hadoop, and will perform predictive modeling and analytics exercises that turn data into valuable and actionable knowledge.

 

Participants will:

  • Understand key concepts in big data analytics.
  • Appreciate the value of big data analytics for the various industry domains.
  • Use advanced technological tools to analyze the data.
  • Apply statistical techniques to make inferences.
  • Learn how to drive organizational value by producing actionable knowledge from clearly framed problems.
  • Enhance their marketability in the growing and promising space of big data jobs.

 

Agenda (subject to change): 

  Day 1 Day 2
7:45 a.m. – 8:15 a.m.

Breakfast and Registration

Breakfast and Discussion of Big Data Analytics in the 2016 US Presidential Election 

8:15 a.m. – 9:45 a.m.

Current understanding of Big Data and Analytics Processes in Organizations 

Statistical Modeling

10:15 a.m. – 11:45 a.m.

Data Structures - Data Management Systems

Big Data Text Analytics

11.45 a.m. – 1:15 p.m.

Networking Lunch and Food for Thought: Speaker I

Networking Lunch and Food for Thought: Speaker II   

1:15 p.m. – 2:30 p.m.

Data Treatment

Exercises in Predictive Modeling

2:45 p.m. – 4:00 p.m.

Exercises in Data Management and Manipulation

Career and Ethical Issues in Data Science 

4:00 p.m. – 4:15 p.m. Debriefing Debriefing and Award Ceremony

 

 

Who Should Attend?

The ideal participant a mid- or upper-level industry professional and leaders with a strong interest in exploiting Big Data analytics to improve the performance of their organization. Vice presidents, chief officers, and senior managers in different domains including strategy, finance, human resources, management, and marketing as well as consultants, bankers, accountants, healthcare executives, investors and journalists would benefit the most from the program. The course will also be of interest to young graduates who wish to explore new work opportunities in the field of data science.

 

About the Speaker:

MazenMazen El-Masri
Assistant Professor of Information Systems at Qatar University.

Mazen El-Masri is an assistant professor of information systems in the Department of Accounting and Information Systems of the College of Business and Economics at Qatar University. He obtained his Ph.D. in management information systems from HEC Montréal, Canada. He teaches data science (graduate), big data analytics, information security (graduate), introduction to MIS, and IT project management.

Mazen’s work appears in IT & People, Educational Technology Research and Development, Journal of Information Systems Education, ACIS, ICIS, AMCIS, ECIS, PACIS, and ASAC. His research includes text analytics, e-learning, gamification, predictive modeling, IT project risk, big-data, social networks, and semantics.

 

Program Prerequisites:

The participants must have basic knowledge in statistics, data structures, and programming. They will also be asked to bring their own laptops and to install open-source software required for the workshops and exercises.