Specialist Diploma in Data Science For Business

Specialist Diploma In Data Science For Business

Duration 1 year (Part-time)

Frequency 7pm to 10pm, 2 times a week (blended learning)

Certificate Part-time Diploma & Post-Diploma

	Subject Code	Subject
	CDS1C01	Augmented Data Preparation This subject covers the fundamental principles of data preparation and the skills involved in automating data preparation tasks. The subject includes understanding augmented analytics life cycle, preparing data for a specific problem and using the right tools to transform the data into analytics-ready datasets.
	CDS1C02	Automated Machine Learning This subject covers the fundamental principles of Machine Learning (ML) and the skills involved in automating ML modelling and model operationalization, without the need for extensive programming knowledge. This includes how to identify the ML problem and undertake the ML lifecycle by using the right tools to accelerate the configuration and optimization of the target and parameters for predictive model building, and utilize metrics to determine the best model.

Subject Code

Subject

CDS1C01

Augmented Data Preparation

This subject covers the fundamental principles of data preparation and the skills involved in automating data preparation tasks. The subject includes understanding augmented analytics life cycle, preparing data for a specific problem and using the right tools to transform the data into analytics-ready datasets.

CDS1C02

Automated Machine Learning

This subject covers the fundamental principles of Machine Learning (ML) and the skills involved in automating ML modelling and model operationalization, without the need for extensive programming knowledge. This includes how to identify the ML problem and undertake the ML lifecycle by using the right tools to accelerate the configuration and optimization of the target and parameters for predictive model building, and utilize metrics to determine the best model.

	Subject Code	Subject
	CBG1C03	Data Visualization Fundamentals This subject covers graphing fundamentals, graphing properties and building dashboards for reporting purposes using relevant statistical modeling and analysis techniques. Topics covered include the preparation and analysis of visualized data to support managerial decision-making.
	CDS1C03	Data-driven Storytelling Turn overwhelming and complicated data into compelling narratives by applying storytelling principles to your analytics work. This subject covers the fundamental concepts in understanding an audience and communicating findings to them in a meaningful way. This includes how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations.

Subject Code

Subject

CBG1C03

Data Visualization Fundamentals

This subject covers graphing fundamentals, graphing properties and building dashboards for reporting purposes using relevant statistical modeling and analysis techniques. Topics covered include the preparation and analysis of visualized data to support managerial decision-making.

CDS1C03

Data-driven Storytelling

Turn overwhelming and complicated data into compelling narratives by applying storytelling principles to your analytics work. This subject covers the fundamental concepts in understanding an audience and communicating findings to them in a meaningful way. This includes how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations.

What is the difference between the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in Data Science for Business (SDDSB)? How will I benefit from the programmes?

The Specialist Diploma in Business Analytics provides training in the tools and techniques of business intelligence which enables you to know what happened in the past in order to draw insights to improve an organisation’s performance, understand their customers better and identify areas for improvement. It delves deep into data mining techniques with statistical concepts that transform data into business insights for day-to-day decision making. Those who wish to acquire skills in data preparation, data modeling, data mining fundamentals with step-by-step know-how, should apply for the SDBA course. Someone who wants to work as a Data Analyst / Senior Data Analyst, Business Analyst / Senior Business Analyst would benefit from this course.

The Specialist Diploma in Data Science for Business enhances the skills and knowledge of participants in the area of advanced analytics such as augmented analytics, automated machine learning and data driven storytelling. It targets diploma graduates and those working in the industry who have had a couple of years of domain work experience and wish to acquire skills in data science. The use of advanced data analytics tools lowers the technology barrier for things like scripting and coding – this is helpful for business domain professionals with low-tech skills as it enables them to undertake data science projects more easily. This approach helps to bridge the data skills gap and enables business users to undertake some basic data science work. AI and machine learning concepts are also emphasised to equip participants with predictive modelling competencies and to operationalise the models. Those who want to jumpstart in the area of data science and wish to pick up the fundamental skills easily should choose SDDSB.

Are the admission requirements the same for the Specialist Diploma in Business Analytics and Specialist Diploma in Data Science for Business?

The minimum entry requirement for both Specialist Diploma courses is similar. Prior knowledge of programming is not a requirement in both courses.

Which programme allows me to become a data scientist?

Both programmes enable you to undertake work as a data / business analyst. Both courses are complementary in nature and help you to expand your skillsets. To be a full-fledged data scientist you will need to progress after completing these specialist diploma courses to take up advanced university courses.

What is data driven storytelling?

Data Storytelling is an essential data science skill that everyone needs. Data driven story telling focuses on how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations to communicate findings. You will learn through case studies and learn from experienced guest speakers on how to tell your data story with clarity.

What are the programming languages used in these courses?

There is no coding for the Specialist Diploma in Business Analytics, whereas the Specialist Diploma in Data Science for Business will expose participants to available packages that can perform AI and automated machine learning with minimum coding.

If I am interested in both programmes, which one should I embark on first?

The choice you make will depend on your job aspirations and job role.

If I have completed the Specialist Diploma in Business Analytics, is it worthwhile for me to take the Specialist Diploma in Data Science for Business?

Yes, you will receive exemption for the Data Visualization subject. Also, as AI and machine learning concepts are covered in depth in the Specialist Diploma in Data Science for Business, you will gain useful skills in predictive modelling to forecast future outcomes.

Are there any differences in the job roles I can take up?

Based on the Singapore Skills Framework Job Roles (ICT), graduates of both programmes will be able to take on similar job roles as Data Analyst / Senior Data Analyst, Business Analyst / Senior Business Analyst. You would have expanded capabilities in data mining if you take up the Specialist Diploma in Business Analytics; and in predictive modelling if you take up the Specialist Diploma in Data Science for Business.