Data Analytics @ Work 101
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2022012210
S$600
Original: S$2,000
Save S$1,400
About This Course
At the end of the 2-day course, participants will be able to:
• Formulate a data-driven initiative using the Cross-industry Standard Process (CRISP) and Objectives and Key Results (OKR) techniques
• Profile and mine data for insight using calculated measures
• Use data visualisation techniques to reveal hidden patterns
• Apply statistical techniques to understand systems
• Create indicator metrics and indicators to guide strategic decisions
• Forecast trends and create predictive models
What You'll Learn
Enterprise Analytics – the use of data analysis and data science to drive what organisations do and how they do it – is now a fundamental skillset that is required to succeed in all sectors of advanced economies. As a result, we all face the challenge of developing an ability to design and execute “data driven” initiatives at the workplace. In this context, organisations are increasingly looking for what McKinsey has called the “Analytics Translator” – those individuals who can combine experience from the Business Domain with knowledge from the Analytics Domain to create value from Enterprise Analytics for their organisation.
This course is designed as a first step in a learning journey that will build these blended capabilities, covering the execution of specific analytics techniques alongside frameworks guiding the design of data driven initiatives. Taking a real-world case featuring challenges from Finance, Marketing, Service, Operations, and Strategy, this course will lead participants through a set of practical sessions providing an overview of the principal enterprise analytics techniques.
This course is designed as a first step in a learning journey that will build these blended capabilities, covering the execution of specific analytics techniques alongside frameworks guiding the design of data driven initiatives. Taking a real-world case featuring challenges from Finance, Marketing, Service, Operations, and Strategy, this course will lead participants through a set of practical sessions providing an overview of the principal enterprise analytics techniques.
Entry Requirements
No prior understanding of enterprise analytics is expected or required. Prior experience of Microsoft Excel at a basic/ foundational level will be useful but is not essential.
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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