Free Data Science Webinar
How To Become A Data Professional?
Big data knows everything – get your work problems answered quickly and directly.
Empower yourself to become a highly-respected data professional with data science to derive insights and create business value.
Some ways data science are used include:
- Sales forecasting with predictive analytics
- Product recommendation for E-commerce.
- Behavioural-based online advertising
In this webinar, you’ll learn how to deploy data science techniques and frameworks for your current data.
Live Webinar Starts On:
26th November 2020 (Thursday) | 8 PM-10 PM
By the end of the webinar, you’ll:
- Know the framework and tools for data science.
- Learn how data scientist deploys data analytics.
- Case studies of companies using data science successfully.
- How to break into the data science industry and start.
Register and join the webinar, with an open mind that is ready to learn.
Other than that, all you need is a laptop and internet connection to join the webinar.
About The Speakers
This is an online live webinar – where you will be able to interact with the speakers.
It’s not one of those recorded webinar made to look like its live.
Dr. Lau Cher Han
Chief Data Scientist, Full Stack Developer.
Dr. Lau has trained executives and companies such as IBM, Dell, Intel, Bank Islam and TNB Malaysia to break into data science, big data and artificial intelligence.
Through his 15 years of experience in software development, database technologies, data mining and analytics – he has helped & consulted companies such as Intel, Jabil, HP, the Selangor Government and more.
Head of Marketing, LEAD.
An entrepreneur in media and digital marketing, Reuben has worked with brands such as Sony, History Channel and TNB Malaysia.
He has been invited to speak at events and trained companies such as Capitaland in digital marketing. Reuben will be moderating this webinar, so pass all your question to him.
Who Is This Webinar For?
This webinar is aimed at individuals who want to break into data science and learn how to build a career in data science & big data.
Aspiring Data Professsionals
Learn how to become a data scientist, and present your value to businesses, like AirAsia, Jobstreet & Hermo
Work professionals, Students, Individuals
Future-proof and prepare yourself for the growing data industry. Data will disrupt all industries sooner or later.
Learn how data science can help your business – increase profits and reduce costs.
(Free registration for 100 pax. You’ll receive a link to join via email.)
Why Bother About Data Science Anyway?
Data Science is a rewarding profession – high in demand but currently low supply in Malaysia.
This is the best time to upskill and look for ways to take part in the industry – in 2020 & beyond.
What You’ll Learn From Joining?
Here are some bits of lessons you’ll learn.
What if I don’t have a tech background?
If you don’t have a tech background – is it still possible to become a data scientist, analyst or engineer?
One thing we know for sure, going for online courses without guidance, probably won’t work.
But how are we helping our students jump into a data science career? We’ll share the steps in this webinar.
What do data scientists really do?
What is the job scope of a data scientist, big data engineer or data analysts?
Plus what are the tools and software they use?
You’ll be presented with some case studies that shows you just exactly how data scientists are impacting corporations like Dell, IBM, Shell, Grab and more..
How to make use of your current data?
You have more data than you think, whether is from your marketing, operation, or finance activities.
Data analytics is used to generate sales forecasting, understand customer churn, create product recommendation, financial modelling, etc.
You’ll learn how this is done with data analytics.
And much more …
Since we are going to be asked…
Will there be a replay?
Where is this webinar held at?
How long is this webinar?
Register For The Webinar Now
You will receive a link upon registering. Join the webinar through the link a few minutes before the session.
(Only 100 participants limit to each webinar. Make sure to register early.)