This is a 2-day virtual learning programme. Upon successful registration and payment, registrants will be sent a Zoom link and access details of the online workshop.
Overview
"The world is one BIG data problem !" ---- Andrew McAfee (Co-director of MIT initiative on digital economy).
Digital transformation is gathering steam for many companies which are attempting to leverage on the latest technologies to grow and gain competitive edge. One key element of this digital transformation process concerns data management. Data has already been referred as the "new oil" for the digital economy.
The massive amount of data being harvested every single day is ever increasing and it is fast replacing oil as the world's most valuable resource. Tech titans - Facebook, Amazon, Apple, Netflix, Google and Microsoft (collectively known as FAANGM) have exceeded US$3 trillions in combined market value. Their source of wealth comes directly from their ability to apply analytics on their massive data troves that allows them to capture enormous economic gains.
However, are all data created equally valuable ? What can businesses do to turn their everyday data into valuable resource like precious oil ?
Course Outline
Day 1 Programme :
On this Day 1 session, participants will gain a fundamental understanding of what Big Data is all about and how Big Data analytics can benefit their organisations. They will get to learn about the opportunities, challenges and possibilities brought about by gathering the collection, processing and analyses of these big data.
1. Big Data and Big Data Analytics
- what exactly is big data ?
- how is big data different from "regular" data ?
- what is big data analytics ?
- how does big data analytics differ from traditional data analytics ?
2. Opportunities & Challenges
- why should organisations carry out big data analytics ? are there any benefits ?
- are all big data analytics created the same ? what kind of big data analytics is relevant to your organisation ?
- how does 5G, Internet of Things (IOT), Edge and Cloud computing empower big data analytics ?
- how do organisations get ready and start on big data analytics ? what are the things to consider before embarking on this journey ?
- discovering and taking stock of your organisation's data assets
- what are the challenges in adopting big data analytics ? how can an organisation overcome them ?
3. Case Studies
- group discussion on some real case studies of firms and industries that have adopted big data analytics
Day 2 Programme :
This Day 2 session endeavours to equip learners with the hands-on essentials of R programming, a powerful statistical and machine learning tool at the heart of data science and data analytics. Participants will learn how to use R to tease out hidden patterns in the data, generate insights and unlock its value. This workshop is designed to illustrate how to perform market segmentation using cluster analysis, an AI/machine learning algorithm. Additionally, participants will also acquire the skill sets to visualise and communicate insights to stakeholders using ggplot2, a powerful data visualisation library in R. This twin-combination of cluster analysis with data visualisation can facilitate effective storytelling on the derived insights for better decision making.
1. Introduction of Data Analytics
- Installation of R & R Studio; Registration of R Studio Cloud
2. Manipulate, clean and enrich raw data into more usable formats
- Introduce Basic R manipulations and data basic structures (Part I & II)
3. Using R for data wrangling
- clean up and prepare data for analysis
- filter data based on certain given conditions
- apply these discussed concepts to process and analyse a real-world data set (case study)
4. Using R for data visualisation
- use proper visualisation tools to analyse, derive and communicate insights
- create common visualisation plots using GGplot2
- apply these discussed concepts to analyse a real-world data set (case study)
5. Introduction to Artificial Intelligence (AI) & Machine Learning (ML)
- how these new technologies affect data collection and analysis work
- discover hidden patterns in the enriched data set
6. Understanding k-means cluster analysis
- applying k-means clustering and data visualisation to perform market segmentation and sense making on a real-world data set (case study)
- connect the dots, interpret and derive actionable insights to facilitate better decision making
Note: Participants are expected to download and install FREE data analysis tools and R software into their computer during this workshop to facilitate learning
Learning Objectives
At the end of the workshop, participants would be able to :
- understand how big data would impact their business
- appreciate emerging technologies that affect big data analysis
- generate enriched data from real world raw data sets
- perform cluster analysis on the processed data set to find viable market segments
- visualise the results of cluster analysis and communicate the insights to stakeholders
Who Would Benefit
Business owners, Senior Directors / Managers or working level executives who are in strategic planning roles, who need to seek a good understanding of big data for digital transformation, or technical knowledge of data analytics using machine learning algorithms, or merely looking to transform their data presentation skills to make a corporate boardroom impact.
Meet The Trainers
Stephen Ho
MBA (High Honours), The University of Chicago Booth School Of Business
Master's & Honours' Degree in Electrical Engineering (NUS)
Masters of Arts (Contemporary China) (NTU)
Certified De Bono Thinking System's Thinking Consultant
Certified ScrumMaster (CSM) & Certified Scrum Product Owner
Stephen is Chief Operating Officer and Managing Director of a deep-technology company specialising in the implementation of large scale 5G ready enterprise grade and mission-critical IOT and edge computing across different domains, including telecommunications, smart cities and strategic city management, maritime and logistics.
He has over 20 years of experience in managing large scale international business, city planning, design and technology consultancy, real estate investment & development as well as project management. His other areas of expertise include leadership, strategy planning, change management, international business development and management. He is also an active advisor and investor in several tech startups.
Andy Tai
MSoSc (NUS), Bsc (LSE), Data Science (JHU)
Andy has over 20 years of work experience in many establishments, including startups and government bodies. In those roles, he has been involved in analysing growth potential of Infocomm companies, assisted and supported many startups, SMEs and MNCs in their digitalisation initiatives. In addition, he has personally coached, account managed and invested in promising startups while they were still being incubated in one of Singapore's renowned incubation ecosystems, including BLOCK71 Singapore (an initiative by NUS Enterprise to build technology-focused ecosystem).
As a proficient trainer in data science and data analytics, Andy delivers analytics courses at many educational institutions, private and public schools that focus on business insights and macroeconomic trend analysis. By incorporating these into real-world perspectives as case studies, this has helped many learners adapt their classroom learning into real practice. Aside from data science and other quantitative training, he has also obtained WSQ Advanced Certificate in Training and Assessment (ACTA) with the qualification to guide, coach and train adult learners.
Administrative Details
- Please log on with your Username and Password to register. If you have no existing account with Singapore Business Federation (SBF), please create one for registration.
- Upon registration, you can make payment directly by PayPal (for Credit / Debit Card), PayNow Corporate or Bank Transfer. An auto e-acknowledgement and invoice will be sent to your registered email.
- No cancellation is allowed upon registration but attendance by a replacement delegate from your company due to exigency could be facilitated. Please notify SBF of this change, giving at least 3 working days' notice prior to the date of the workshop to enable logistical arrangements for the replacement.
- Full payment must be received with registration prior to the date of the workshop to guarantee your place.
- Admission into the workshop is only allowed if payment / proof of payment has been received prior to the day.
- Participants will still be liable for payment in the event of no-show on actual day of the workshop.
- SBF reserves the right to cancel, postpone, reschedule or make any adjustment to the workshop where necessary.
Payment Options :
Select one of the following electronic payment options available (please key in invoice number for our reference)
1. PayPal (pay by Credit or Debit Card)
2. PayNow Corporate (UEN: T02SS0073H)
3. Bank Transfer (Bank / Branch Code: 7375 / 018, Account No: 118-313-180-5)
Billing Organisation via UOB or DBS Website / Mobile app
Ref No: SB220001
DISCLAIMER
All information, materials and related graphics contained herein and/or provided in the course of the training session(s) (hereinafter referred to as “Information and Materials”) are intended for informational and/or educational purposes only. The Singapore Business Federation does not claim ownership of any of the Information and Materials provided by the external training vendor(s). The information and Materials may from time to time include technical inaccuracies or typographical errors, and changes may be added periodically as may be necessary. Please note that photography, audio and video recording may occur during these events. All photography, audio and video recording may be used by Singapore Business Federation for education, marketing, promotional and/or publication purposes. If you do not wish to have your image recorded or published, for compelling and legitimate grounds relating to your situation, please inform our staff.