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Overview
About the course
Businesses both big and small understand that there is a huge amount of hype surrounding the world of data analytics at the moment. Whilst some may presume it’s just a phase, data analytics is certainly here to stay. Selecting and using the right type of analytics is necessary for companies to make insightful business decisions.
This practical The Analytics Playbook - Mastering the Workflow of Analytics course at Singapore Management University provides a hands-on tour of the following types of analytics used to unlock new value
- “Experimental” - understanding which actions have the greatest impact
- “Diagnostic” - understanding why things happen
- “Predictive” - understanding what might happen next
In covering these forms of analytics, participants will gain a thorough appreciation of the field - moving from established methods for uncovering new insight to advanced machine learning approaches.
In addition to the appreciation of technique, participants will learn how to use advanced, "zero-code", and "open-source" data science tools to perform each type of analytics.
Programme Structure
What you will learn:
- Appreciate the purposes and capabilities of different types of analytics
- Understand the technical foundations of a range of “Experimental”, “Diagnostic”, and “Predictive” analytics techniques
- Match appropriate analytics techniques with a wide range of strategic, process, and service challenges
- Apply frameworks for the performance of effective “Experimental”, “Diagnostic”, and “Predictive” analytics
- Use the open-source KNIME data-science solution
Key information
Duration
- Full-time
- 2 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
- Dates: TBC
Language
English
Delivered
On Campus
Disciplines
Business Intelligence Data Science & Big Data View 21 other Short Courses in Business Intelligence in SingaporeAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Singapore Management University and/or in Singapore, please visit Student Insurance Portal.
Other requirements
General requirements
We recommend the course to participants from any business function or department who are:
- introducing data science into their project, team, or function
- developing enhanced analytics into their work
- exploring the potential value of data science in their career or work
The course is not sector-specific, with a range of real-world examples used to illustrate the workflows.
Prerequisites:
Whilst this course can be completed without prior knowledge, most value will be found by those who
- have attended SMU Academy’s “Data Analytics @Work” / "Enterprise Analytics 101: Better Use of Data and Analytics at Work" and “Data Analytics with Power BI” courses
- have fundamental skills handling data and building reports using a tool such as MS Excel
Tuition Fee
To always see correct tuition fees
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International
2180 SGD/fullTuition FeeBased on the tuition of 2180 SGD for the full programme during 2 days. -
National
654 SGD/fullTuition FeeBased on the tuition of 654 SGD for the full programme during 2 days.
- Singapore Citizen ≥ 40 years old: $254
Living costs for Singapore
1878 - 3880 SGD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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