Free Data Science Webinar
How To Deploy Predictive Analytics at Work
Predictive analytics is used by companies to forecast and recognize patterns, usually for two reasons – to save cost or to increase income.
We’re willing to bet that the company you’re working is also looking at predictive analytics to solve problems and uncover opportunities. Some ways predictive analytics are used include:
- Predicting customer churn rate.
- Sales forecasting.
- Product recommendation for E-commerce.
- Financial modeling and prediction.
In this webinar, you’ll learn how to deploy predictive analytics at work.
Webinar starts on:
19th September (Thursday) | 8PM-10PM
Learning Outcomes
By the end of the webinar, you’ll:
- Know the framework and tools for predictive analytics.
- Learn how data scientist deploy predictive analytics.
- Case studies of companies using predictive analytics successfully.
- How to break into the data science industry and start.
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, 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.
What You’ll Learn From Joining?
Here are some bits of lessons you’ll learn.
Customer churn rate
Telco and insurance companies are known for using predictive analytics to understand the reasons for customer churn, then come up with plans to retain customers.
You’ll learn how this is done with predictive analytics.
How to build recommender systems?
Recommender systems look into the historical data to predict ratings, generate related products and more.
What do data scientists use to do this? How do they build machine learning models? What is Python, Flask or Django?
All this will be explained in the training.
Since we are going to be asked…
Will there be a replay?
Where is this webinar held at?
How long is this webinar?
