Data Analytics Workshop for Beginners
Take your first step to learn big data analytics.
Data Science is the field that uses scientific methods and algorithms to extract findings and knowledge from data.
It is likely that the company you work for is generating lots of data. Question is, will you be the one in your company – stepping up to handle the data?
Workshop Starts: 22nd September 2021 (Wednesday)
Time: 7:00 PM – 10:00 PM
Venue: Live Training (Zoom)
Fee will increase in the next cohort.
Data science scares me.
Most people know data is here to stay – but thinking of it scares them.
Reasons why you’re afraid of data science:
- Afraid of coding.
- Fear of math.
- Don’t have a Ph.D. or computer science degree.
You can do data science.
Without a degree or coding experience. Here is why:
Practical data science is different.
Data science practiced at work is different from data science practiced in academia. You do not need rocket-level math or coding skills. And you definitely do not need a Ph.D.
Data is actually useless.
So many people focus on collecting more and more data. But just like a city that installs “smart” CCTV on streets, transmitting data to the cloud – what is it for? Does it make the city safer?
It’s what you do with the data, that makes it useful.
Step up. Start now.
Data Science Amplify is a workshop designed to get you started with big data analytics. Here is the 4-step process you will work on in the workshop.
Collect big data.
Learn how big data works and how to use it in a data analytics project.
Use data science tools such as Google Data Studio to clean and filter out irrelevant data.
Discover practical data analysis methods to find insights. You will work on real data in the workshop.
Build data models.
Learn to form hypothesis and create prediction models from your findings.
Learn stuff you’d actually use.
Everything you need to say, “Hey, I can do data analytics!”.
3 hours live training.
Follow an instructor-led workshop session and get ready to work.
Workshop conducted through Zoom.
30 days support.
The live workshop gets you started. The student support, make sure you finish what you started.
Workshop replay & resources.
Revise and discover additional data analytics learning materials, included with the workshop.
Move up the value chain.
Here are some things you’ll be able to do, with skills picked up from the workshop.
Analyze customer buying patterns.
Use the skillset learned from the workshop to analyze customer behavior and purchasing habits, to increase revenue at your organization.
Who: Sales directors, marketers & business intelligence executives.
Identify business inefficiencies.
Form a hypothesis from data you analyzed and create models to predict system failures or inefficiencies at your company – to improve revenue and productivity.
Who: Business analysts, customer relationship managers, data analysts.
Use exploratory data analysis to find patterns and anomalies – to raise potential fraud that could affect business outputs.
Who: Finance analyst, risk analyst, risk management, product manager.
Dr. Lau Cher Han
Chief Data Scientist, Founder of LEAD, Machine Learning researcher, Microsoft Excel World Champion.
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.
Data Science Amplify will get you started in applying big data analytics at work.
By the end of the workshop, you will be able to analyze data and build a data analytics dashboard with Google Data Studio.
Upon registering, you’ll receive an email with instructions to join the training and student support platform.
Includes refresher access to future workshop runs.
- Instructor-led live workshop.
- 30 days student support.
- Recordings and additional resources.
- Content from past workshops.
Date: 22nd Sept 2021 (Wednesday)
Time: 7:00PM – 10:00PM (GMT +8)
Venue: Online workshop via Zoom
Hundreds of individuals have made the decision to level up. The time is now.
It’s great and helpful to have data science skill as a very beginner. this is really a good start for me.