(SCTP) NUS Data Intelligence & Business Analytics Programme (Classroom & Synchronous e-Learning)

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2023035551
S$5,115
Original: S$17,050
Save S$11,935

About This Course

This programme will equip the participants with the following skills:
• Understand Business Intelligence
• Understand the functionalities of PowerBI for Business Intelligence
• Learn the tools and techniques to perform data preparation
• Understand how to make use of tools to perform data exploratory analysis
• Understand how to embark on a data mining project
• Understand the fundamental key concepts of various predictive analytics techniques
• Acquire basic proficiency in popular data analytics tools such as R
• Build a strong foundation in the fundamentals of Python programming
• Learn to use libraries such as Numpy and pandas in the Python API
• Understand how to model business problems for optimisation, interpret sensitivity analysis and shadow prices
• Problem Setting, Data Collection and Analysis and Idea Generation and Consolidated Strategy

What You'll Learn

In this dynamic landscape, we can position ourselves by staying up to date with emerging technologies and continuously improving our data-driven decision-making abilities.

The NUS School of Computing (SOC) offers the Data Intelligence & Business Analytics Programme as a suite of short courses to prepare trainees for job roles such as Business Analyst, Data Analyst, Data Architect, or Associate Data Engineer. Throughout the programme, students will gain an understanding of the analytical techniques and tools used in data science and learn how to apply these tools to projects. By the end of the programme, students will have the ability to interpret business specifications, turn insights into creating business value for organizations, and contribute to their organization's growth and success.

The Data Analytics Programme consists of 8 modules:
• Using Business Analytics to Answer Business Questions (synchronous e-learning)
• Descriptive Analytics
• Applied Analytics using Predictive Modelling
• Python Programming
• Prescriptive Analytics - From data to optimal course of action
• Trisector Strategy and Innovation for Transformation (Problem Setting)
• Trisector Strategy and Innovation for Transformation (Data Collection and Analysis)
• Trisector Strategy and Innovation for Transformation (Idea Generation and Strategic Consolidation)

Entry Requirements

At least a polytechnic diploma (or equivalent)

Course Details

Duration 143 hours
Language English
Training Commitment Full Time
Total Enrolled 41 students
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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