Data Analytics For Business Decisions : Linear Regression


This is a ½ day virtual learning programme. Upon successful registration and payment, registrants will be sent a Zoom link and access details of the online workshop.

Overview

"Without data, you're just another person with an opinion only" ---- 
W. Edwards Deming (distinguished author and statistician).

We live in a data-centric world and the amount of data being harvested daily is ever increasing. However, no matter how our world is filled with data everywhere, we have not become more enlightened or better understood as a result. Although, our business competition is already harnessing the power of data analytics to guide their business decisions, many businesses still choose to stick with the outdated methods of yesteryears for fear of technical incompetence.

This ½ day workshop aims to break down data analytics fundamentals into easy-to-follow bite-size nuggets that anyone would understand and apply in their own organisation (even without any statistical background). Participants will be guided during this interactive hands-on session using real world data set.

About This Workshop

We will learn about Linear Regression, one of the most basic statistical techniques that organisations need to conduct sense making in their data. Linear Regression is commonly used to forecast trends as well as to evaluate the impact of key factors influencing profitability e.g.

- Forecast sales trends and estimates in future months
- Analyse impact to demands if one factor (e.g. price) is to be revised upward
- Evaluate how expenditures in various marketing channels is effective in improving sales margin

Note : This workshop does not require one to have prior coding / programming / data science knowledge as the simple drag-and-drop data mining software Orange will be used to facilitate learning. This is a FREE software.


Learning Objectives

At the end of the workshop, participants would be able to :

- understand basic data analytics concepts
- appreciate linear regression models
- manipulate, clean and enrich raw data into more usable formats
- modelling linear regression models (using Orange data mining software)
- interpret the results of linear regression models and drive actionable insights to facilitate better business decision making

 

Who Would Benefit

Business owners, Senior Directors, Managers or working level executives who are in strategic planning roles, who has little or no technical data analysis skills but need to seek a good grasp of understanding data analytics to support business decision making


Meet The Trainer



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: SB220340

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.

When
6/24/2022 9:00 AM - 12:30 PM
Where
Virtual

Sign In to Register for this event