Big Data Engineer, IBM Skills Academy @ Kaplan

Kaplan Singapore


Course introduction

DATA IS BECOMING THE WORLD’S NEW NATURAL RESOURCE In order to understand, diagnose and help patients better, 16,000 hospitals worldwide collect patient data. The average hospital is estimated to produce 665 terabytes of data in one year. This medical data integrates the healthcare databases around the world, optimised to predict epidemics, cure diseases and reduce death rates. The advent of data in the healthcare industry will revolutionise patient care, health services and research communication globally. The Big Data Engineer course prepares learners to use Big Data platforms and methodologies to collect and analyse large amounts of data from different sources. This will require skills in Big Data architecture, such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop and HBase.



Target Audience


  • Ages 20 - 45
  • Computer Science
  • Technology



Course Outline


Overview

DATA IS BECOMING THE WORLD’S NEW NATURAL RESOURCE
In order to understand, diagnose and help patients better, 16,000 hospitals worldwide collect patient data. The average hospital is estimated to produce 665 terabytes of data in one year. This medical data integrates the healthcare databases around the world, optimised to predict epidemics, cure diseases and reduce death rates. The advent of data in the healthcare industry will revolutionise patient care, health services and research communication globally.
The Big Data Engineer course prepares learners to use Big Data platforms and methodologies to collect and analyse large amounts of data from different sources.
This will require skills in Big Data architecture, such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop and HBase.

Duration

  • Classroom Learning: 24 hours
  • Self-Paced Online Learning: 26 hours
  • Total Hours: 50 hours
Associated Job Roles

The knowledge and abilities imparted in this course will help learners in job roles such as:
  • Business Intelligence Analyst
  • Artificial Intelligence Analyst



Available Course Sessions


Please click here to stay updated on upcoming sessions.



Trainer Profile


Valerie Chan

Valerie is a Trainer who believes making a difference for students and participants. She is comfortable in delivering training in both English and Mandarin.

Valerie carries ten years working experience involving data analytics ranging from engineering, healthcare, social media, to fast moving consumer industries. She has worked in Quality Assurance, Strategy Planning, Operation, Customer Relationship Management, sales and marketing analysis. She started her career journey as an assistant engineer, then crossed over to the business sector as an analyst.

Valerie graduated with a Specialist Diploma in Data Mining and Statistic. Her other qualifications include Bachelor of Science in Business (Hon) from University of London, Diploma in Mechatronic Engineering, Advanced Certificate in Training and Assessment (ACTA), Certificate in Microsoft Server, Certificate in Service Professional and Certificate in Statistical Process Control.
She has conducted data analytics course with an audience with minimum knowledge of data analysis background.

Her last held appointment was as an assistant manager focusing on marketing analysis.



 

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