(SCTP) Advanced Professional Certificate in Data Analytics (Classroom, Synchronous and Asynchronous E-Learning)
Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2022013569
S$2,250
Original: S$7,500
Save S$5,250
About This Course
This 3-month course has been designed by industry professionals and practitioners to upgrade existing capabilities with the practical aspects of data mining and preparation, data analysis and visualization.
Through guided hands-on work and instruction, trainees will gain the knowledge on how to apply the core aspects of dealing with data that they will find themself in any job and role, and in any industry.
What You'll Learn
The exponential growth of the internet, globalization and the pandemic have accelerated the push for digital transformation in all sectors. Companies have pivoted and reinvented themselves to remain relevant. Much of this transformation involve changing processes and workflow to gain efficiencies, productivity and competitive advantages, leading to increase revenues and profitability. Businesses started to make investments in technology and retrained their workforces to support those new processes and workflows.
A result of the digital transformation was a dramatic increase in the types and quantities of data they began to accumulate. These businesses soon realised that they could use the deep understanding of that data for competitive and even absolute advantages. However, the realisation that whilst they had skilled managers and engineers, there was a need for the skill to now work with the data they had.
There is a new driver for sustainable employability and that is Data and Information Literacy. The data and information literate professional does more than just crunch numbers. The expectation is for data professionals to add value by bringing their domain knowledge – engineering, finance, logistics, etc. – into data activities like data sourcing, wrangling, management, analysis and communication.
“Data literacy Is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied; and the ability to describe the use case, application and resulting value.” – Gartner
In a nutshell, being data and information literate is about being able to:
• Seek out, acquire and manage the data that is going into the organization, used within the organization and communicated by the organization.
• Analyze and interpret data.
• Report and present the findings or insights through dashboards and other means.
The majority of companies today realize the value of a
A result of the digital transformation was a dramatic increase in the types and quantities of data they began to accumulate. These businesses soon realised that they could use the deep understanding of that data for competitive and even absolute advantages. However, the realisation that whilst they had skilled managers and engineers, there was a need for the skill to now work with the data they had.
There is a new driver for sustainable employability and that is Data and Information Literacy. The data and information literate professional does more than just crunch numbers. The expectation is for data professionals to add value by bringing their domain knowledge – engineering, finance, logistics, etc. – into data activities like data sourcing, wrangling, management, analysis and communication.
“Data literacy Is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied; and the ability to describe the use case, application and resulting value.” – Gartner
In a nutshell, being data and information literate is about being able to:
• Seek out, acquire and manage the data that is going into the organization, used within the organization and communicated by the organization.
• Analyze and interpret data.
• Report and present the findings or insights through dashboards and other means.
The majority of companies today realize the value of a
Entry Requirements
The minimum entry requirements are:
• Diploma or Tertiary level qualification
• Have taken Mathematics as a subject at secondary level
• 3-years working experience
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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