Big Data Analytics / Data Science

The need to develop one area of technical analytic expertise while being conversant in many others is very crucial. Going beyond descriptive analytics has become essential to meet the complexities of information requirement for decision making as well as developing strategies to drive greater profitability, improved performance and competitiveness. This course builds expertise in advanced analytics, data mining, predictive modeling. The aim of the course is to introduce the trainees to the important big data management techniques and analytical tools. This course relies on several open-source software tools, with emphasis on Apache Hadoop.

224 Students enrolled

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Requirements

Suggested reading prior to the course: • Fundamental knowledge on Statistics • Advanced knowledge on Programming Languages (Python will be asset)

Description

Upon completion of training participants will gain knowledge on: • Build data solutions that integrate with other systems • Implement advanced data science concepts like machine learning and inferential statistics to address critical business problems • Influence corporate decision making • Participate successfully in data science competitions • Articulate analytics as a core strategy • Transform data into actionable insights • Develop statistically sound and robust analytic solutions • Evaluate constraints on the use of data • Assess data structure and data lifecycle