Descriptive Analytics

Short Course

Descriptive Analytics

Programme Schedule	Duration (days)	Mode of Delivery	Programme Code
14 Aug, 15 Aug, 16 Aug 2024 \| 9am-5.30pm	3	Classroom Learning	TGS-2019507052

Course Overview

What is Analytics and why are companies, enterprises and organisations making data speak?

As data keeps increasing, it becomes a high-value asset from which you can extract decisive information. The question is no longer “do we need analytics?” Instead, the focus is on using tools and capabilities to turn this source of raw data into insights and eventually into action.

Data has become the new corporate asset class. In the MIT Sloan Management Review 2017 survey, 55% of companies said they were effective at using data to guide future strategies. Unlike before when analytics was considered the domain of just data experts, the skill is now essential for executive roles in any domain or industry. As data becomes essential to the growth of every business, the need for senior executives who know how to visualize analytics and take data-driven decisions is increasing.

This course covers descriptive analytics which is the upstream process of the insights value chain. It focuses on what has already happened in a business and is the foundational starting point used to inform or prepare data for further analysis down the line. Learn how to reveal the winning combination with human hypothesis-driven input and patterns discovered from tools.

Course Objectives

Course will enable participants to:

Understand sources of data generation
Learn the tools and techniques to perform data preparation
Understand how to make use of tools to perform data exploratory analysis
Generate statistical indicators for reports
Identify data limitations and understand how to resolve them
Acquire analytic skills to describe the data

Who Should Attend

Any working professional who is interested to have a hands-on experience in descriptive analytics, and/or keen to use analytics tools such as Power BI and Excel in data preparation, data visualization and exploratory data analysis.

As it is an introductory course, learners do not have to be an IT expert or programmer to attend it.

Prerequisites

At least a polytechnic diploma.

Technical Requirements

Participants should have a windows system that supports Microsoft Power BI Desktop and Microsoft Excel for the practice labs.

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This programme is part of

Professional Certificate in Business Analytics

Types of Available Fundings

SkillsFuture Credit

UTAP

PSEA

Enhanced Training Support

SFEC

Testimonials

Helpful knowledge and skill to learn at NUS.

This course is coverage is wide so you will be able to learn at your competency.

The pace of teaching and learning is just RIGHT for those who have left the workforce for many years. Thank you!

Very informative.

Instructors

Ms Samantha Sow

Programme Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Programme Fee	S$2,550.00	S$2,550.00	S$2,550.00	S$2,550.00	S$2,550.00
Less: SSG Grant Amount	S$1,785.00	S$1,785.00	S$1,785.00	S$1,785.00	-
Nett Programme Fee	S$765.00	S$765.00	S$765.00	S$765.00	S$2,550.00
9% GST on Nett Programme Fee	S$68.85	S$68.85	S$68.85	S$68.85	S$229.50
Total Nett Programme Fee Payable, Including GST	S$833.85	S$833.85	S$833.85	S$833.85	S$2,779.50
Less Additional Funding	-	S$510.00	-	S$510.00	-
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes	S$833.85	S$323.85	S$833.85	S$323.85	S$2,779.50

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
GST shall apply at prevailing rates.
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
Singaporeans and Singapore PRs are eligible for up to 90% SkillsFuture Singapore (SSG) funding, subject to SSG funding guidelines.

Other Information

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

Ms Samantha Sow

Advanced Computing for Executives