Descriptive Analytics

Date: 6 Jan, 9 Jan, 10 Jan 2023 | 9am-5.30pm | Classroom Learning

Duration: 3 Days

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.

This module is part of Professional Certificate in Business Analytics.

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

Learning Outcomes

This course will introduce the foundational concepts behind descriptive analytics and the fundamentals of data. It covers data preparation, quantitative analysis, and data visualisations.

Participants will get dirty in the data and dive into the transformation using data exploration tools such as Pivot Tables and Power BI progressively. At the end of the course, you will be able to connect multiple datasets, extract and transform data into a usable format and eventually create a data visualisation report for communication to wide business audiences.

Topics

  • Introduction
  • Exploratory Data Analysis
  • Descriptive Statistical Measures
  • Data Querying and Visualizations
  • Project Work
  • Data Preparation
  • Practice Labs

 

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.

Technical Requirements

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

Prerequisites

At least a polytechnic diploma.

Course Conveners

(Click their photos to view their short biographies)

eeeee Samantha Sow

Ms Samantha SowMs Samantha Sow

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Code:
TGS-2019507052 (Classroom Learning)

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Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants