16 hours / 2 days
9am - 6pm
Mode of Training:
A Data Analyst job involves obtaining data from various sources as well as developing, implementing and maintaining database and data collection systems. Besides being proficient in data collections, their job entails designing justifications or other artifacts to meet with corporate standards, integration with enterprise data architecture and company goals. By going through the course, participants will be equipped with sufficient knowledge and be proficient in implementing strategies that optimize statistical efficiency and quality of data.
This course aims to introduce participants to key concepts, terminology and characteristics of Big Data and the promise it holds to deliver sophisticated business insights. Besides examining current approaches to enterprise data warehousing and business intelligence, the course also discuss the importance of data governance and strategy in view of the external influences enterprises are exposed to due to Big Data.
Participants will also learn to appreciate how Big Data storage and analysis resources can be used in conjunction with corporate performance monitoring tools to broaden the analytic capabilities of the enterprise and deepen the insights delivered by Business Intelligence.
• Introduction to Data Business
• Business Motivations and Drivers for Big Data
• Strategies For Data Platform
• Enterprise Technologies, Data Warehouse, Data Mart
• The Life Cycle of Data
• Big Data Storage Concept
• Big Data Processing Concept
• Big Data Analysis Techniques
• Data Governance
Data Analysts, Business Intelligence Manager, Executives, Professionals, Data Engineers
Minimum Entry Requirements / Assumed Skills and Knowledge
Participants should possess at least a Diploma (in any discipline).
Participants are required to bring their own laptops for this training.
Award / Certification / Accreditation
• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the assessment and meet at least 75% attendance rate
*Please note that once the maximum class size is reached, the online registration will be closed.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
Please make cheques payable to “Singapore Polytechnic”. Do cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number at the back of the cheque. When you have completed required details, you may mail the cheque here.
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.