Free Data Science Webinar
Introduction to data science & building a predictive model (live demo)
Experience the daily tasks of a data scientist and learn how you can apply in your work no matter the industry you are in.
And become data-driven to uncover opportunities in your company by learning to build a predictive model.
In this data science webinar you’ll learn:
- The data science skills to learn that secure you a job and break into data science.
- Understanding what companies seek for in data scientists.
- Pathway to become a data scientist without a formal academic qualification.
- Mastering data science and build predictive models that uncover opportunities.
(Free registration for 100 pax. You’ll receive a link to join via email.)
Live Webinar Starts On:
13th March 2020 (Friday) | 8PM-10PM
Learning Outcomes
By the end of the webinar, you’ll:
- Understand the many roles in data science. E.g. data analyst, engineer, data scientist, etc.
- Discover an efficient way to master learn data science.
- How to get hired by companies. (without a formal academic qualification)
- Framework to learn the skillsets for data science and build predictive analytics.
Prerequisites
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.
Reuben Ch’ng
Head of Marketing
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 Scientists
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.
Business Owners
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
You’ll learn the answers to some of the BIGGEST questions asked, such as…
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..
What is the salary of a data scientist?
How much is a typical data scientist salary in Malaysia?
What is the career progression for someone who wants to work in the big data, machine learning & A.I. industry?
What’s the best way to land a job as a data scientist – if you’re new to the industry, and in some cases, don’t come from an academic background.
Is there even a chance to take part in the industry? What can you do?
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.)