Advanced Certificate in Data Analytics in Digital Economy Module 1: Introduction to Data Analytics in the Digital Economy (Synchronous E-Learning)

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2024052151
S$600
Original: S$2,000
Save S$1,400

About This Course

Proficiency in data analytics has become essential for success in today's competitive landscape. Organisations rely on insights gleaned from data to make informed decisions, drive innovation, and stay ahead of the curve. The ability to collect, clean, analyse, and interpret data is paramount.

This certificate programme is designed to equip participants with the necessary skills and knowledge to thrive in the rapidly evolving digital economy. From mastering statistical techniques, big data management, predictive modelling to harnessing the power of machine learning algorithms, participants will learn how to unlock the potential of data to solve real-world problems and drive business growth.

Module 1 provides a comprehensive overview of data analytics and its significance within the context of the digital economy. Participants will learn the fundamentals of data analytics and its role in decision-making, exploring various data types and learn via real-world examples of how organisations use data analytics to stay competitive. The programme also introduces essential tools and techniques for collecting, processing, and visualising data and discuss ethical considerations in data collection, privacy, and regulatory compliance.

What You'll Learn

At the end of the 2-day module, participants will be able to:
• Understand the fundamental concepts and principles of data analytics in the context of the digital economy
• Gain proficiency in using relevant tools and techniques for collecting, processing, and analysing data to derive meaningful insights
• Develop the ability to interpret and communicate analytical findings effectively to support decision-making processes within digital economy contexts
• Explore real-world applications of data analytics in various industries within the digital economy landscape
• Acquire knowledge of ethical considerations and best practices related to data collection, analysis, and utilisation in the digital economy environment

Entry Requirements

Nil

Course Details

Duration 15 hours
Language English
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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