Objectives

To provide fundamental data science concepts to strategise and evaluate data science projects
To enable knowledge and skills required to make smarter and better decisions using data-driven decision-making
To provide knowledge in adopting data-driven decision-making culture in an organizational structure
To provide knowledge and skills required for ad hoc quick data analytics required for organizational leaders

Apply here: https://bit.ly/sc-d3m

Target Audience

This program is especially helpful for professionals who aspire to

Transition into a data-centric senior management role
Gather analytical expertise to handle greater responsibilities
Utilize predictive models to build effective strategies that address key issues in business operations and product quality
Become a leader for sustainable business growth
Familiarize yourself with data science practices and adaptations

The program is designed for both tech and non-tech professionals

Industries & Functions that can benefit include:

Industries: Computer & Communications, Marketing & Advertising, E-Commerce, Finance & Banking, Education Management, Management Consulting, and Governance.

Functions: Engineering, Programming, Technology, General Management, Marketing, Finance, Operations, and HR Functions

Requirement

Minimum Requirement

Education: Diploma from any related field (SLQF 3) or higher.

Work experience: 2 years or more full-time industry experience.

The ability to program is not required; however, a basic knowledge of Excel would be beneficial. The program is designed for both tech and non-tech professionals and preferably currently involved in strategic decision-making or in near future will be involved in strategic decision-making.

Course Delivery

Tentative Starting Date: 14th Jan 2023.

Duration: 4 consecutive Saturdays.

2 sessions per day.

Three hours a session.

Online Platform: Zoom

Evaluation Plan

Attendance

Min 6 sessions (6 sessions *3 =18 hours )

End of course Assessment

40% Take-home written assignment.
60% A data-driven decision-making project.

Application Link: https://bit.ly/sc-d3m

Learning Outcomes

After completing this course, students should be able to:

Create and implement business strategies with the use of data science insights.
Make data-driven decisions to solve business problems.
Demonstrate how to utilize data-driven decisions and recommendations for business growth.
Explain the key challenges and risks in data-driven decision-making.
Evaluate an existing data strategy and make recommendations to achieve a competitive business advantage.
Analyze organizational needs and drive business improvement through future trends in data-driven decision-making.

Syllabus

Introduction to Data Science & Data Driven Decision Making
Understanding, identification, and collection of data
Descriptive & diagnostic data analysis using Excel
Selecting, evaluating, and using data science outcomes
Adopting a data-driven culture in your organization
Information visualization for data-driven decision making
The state-of-the-art tools for data-driven decision-making
Challenges and risks involved in data-driven decision-making

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Objectives

Target Audience

This program is especially helpful for professionals who aspire to

The program is designed for both tech and non-tech professionals

Industries & Functions that can benefit include:

Industries: Computer & Communications, Marketing & Advertising, E-Commerce, Finance & Banking, Education Management, Management Consulting, and Governance.

Functions: Engineering, Programming, Technology, General Management, Marketing, Finance, Operations, and HR Functions

Requirement

Minimum Requirement

The ability to program is not required; however, a basic knowledge of Excel would be beneficial. The program is designed for both tech and non-tech professionals and preferably currently involved in strategic decision-making or in near future will be involved in strategic decision-making.

Course Delivery

Evaluation Plan

Attendance

Min 6 sessions (6 sessions *3 =18 hours )

End of course Assessment

Learning Outcomes

After completing this course, students should be able to:

Create and implement business strategies with the use of data science insights.

Make data-driven decisions to solve business problems.

Demonstrate how to utilize data-driven decisions and recommendations for business growth.

Explain the key challenges and risks in data-driven decision-making.

Evaluate an existing data strategy and make recommendations to achieve a competitive business advantage.

Analyze organizational needs and drive business improvement through future trends in data-driven decision-making.

Syllabus

Introduction to Data Science & Data Driven Decision Making

Understanding, identification, and collection of data

Descriptive & diagnostic data analysis using Excel

Selecting, evaluating, and using data science outcomes

Adopting a data-driven culture in your organization

Information visualization for data-driven decision making

The state-of-the-art tools for data-driven decision-making

Challenges and risks involved in data-driven decision-making