Learn data analytics and AI skills.

from the industry experts.

Many companies trusted this program and upskilled their staff to become a data-driven decision maker.

So, what is Data Science?

So, what is Data Science?

Is it doing geeky stuff, and creating ads that follow customers? No!

Data Science is a skill that uses business knowledge, maths, and algorithms to extract insights from data.

That could be:

  • Data from your E-commerce store.
  • Data from your business process or factory line.
  • Data from your marketing or accounting agency.
  • Data from the finance markets.

Every company (even a cafe) is using data to do better business – to increase revenue and cut cost.

Introducing Data Science 360.

27th, 28th July and 3rd, 4th August 2024

The complete data science program that turns beginners into a job-ready data scientists.

  • Physical classes: 4 full-day classes on 27th, 28th, July and 3rd, 4th August 2024.
  • Class venue in SVOFO, Sunway Nexis Office Suite.
  • 24+ hours of video lessons and content.
  • Learn practical data science from collecting data, programming to building visualization dashboards. (OSEMN framework).
  • Create a data science portfolio & résumé, by the end of the program.
  • Build AI apps to future proof your skill sets.
  • Build 5 real-world data science projects to equip yourself to be job-ready.
  • 1-year warranty enables you to ‘re-attend’ the program live unlimited rounds in any upcoming cohort.
  • Featured alumni your profile and data science portfolio will be listed on our website.
  • Earn a completion certificate to show your new data science competencies.
learn and apply skills data science

Learn & apply data skills.

It’s one thing to read and know what big data or machine learning is. It’s another to be able to practice it.

A truly valuable person can apply them at work. Whether it’s building an analytics dashboard or prediction model, data is only useful if we harness it.

Data Science 360 turns you data-capable. A data scientist.

learn and apply skills data science

Build a portfolio that gets job.

In Data Science 360, you will build a portfolio that will open the eyes of any recruiter.

The portfolio you design will be interactive, based on a real-world business case, and solves actual problems.

Here are some student portfolios:

build net worth networking

Build your net worth.

The saying “your network is your net worth” is true.

Through community and events from the program, our students have built their dream careers, through relationships, they foster with others.

Students get access to our community board and private events. We also partner with Hiredly, and our graduates are prioritized on the job platform.

build net worth networking

How is Data Science 360 different from an RM87,000 university course?

A start & end date.

Data Science 360 is not a self-paced course. It has a start and end date. The main chunk of the program is during the 4 days of physical classes & subsequent coaching calls.

We observe that it typically takes 6 weeks, with the 4 physical classes in between, for our students to complete what they signed up for.

Taught by industry experts.

We know most of you want a data science job. Your goal might be to increase your salary.

We think the best way to do that is to equip yourself with practical data science skillsets. Academic stuff is great, but honestly, companies want people who can execute and move mountains.

Learn industry recognized tools & platforms.

The tools you’ll learn in Data Science 360 are widely used in various business sectors from programming, machine learning, and data science.


Build real-world data science projects.

Practical data science is different from academic data science. To be able to work as a data scientist, you need to be able to apply it. That’s why in Data Science 360, you’ll work on actual data science projects, from:

  • Predicting telco churn. (Classification)
  • Forecasting advertising ad spend. (Supervised Learning)
  • RFM analysis (Unsupervised Learning)
  • Social Media Analysis (Unstructured data analysis)
  • Analyzing HR data.


Program warranty.

Need to revise? Do the program again?

Data Science 360 comes with 1-year warranty so you can return for refresher classes. You will have this resource for life. It will always be there when you need it.

Do I need coding experience?

What is included.

Everything you need to become a data scientist.

4 full-day physical classes.

The main part of Data Science 360 is the 4 days of physical classes, where Dr. Lau and Edmund will be present to teach data science.

You do also have an option to tune in via live streaming and attend the classes from anywhere you’re at, mainly for overseas students.

Dates: 27th – 28th July, 3rd – 4th August 2024 (Sat – Sun)
Time: 9AM – 5PM
Venue: SVOFO, Sunway Nexis Office Suite, Kota Damansara, 47810 Petaling Jaya, Selangor.

learn and apply skills data science

Online coaching calls.

There will be a total of 2 online coaching calls conducted by Dr. Lau, on dates voted by the cohort. And bi-weekly meetup after the live classes.

These sessions typically take an hour, depending on the topic or question discussed. Every session is recorded and will be posted on the discussion board.

learn and apply skills data science

Over 24+ hours of video lessons.

Students get lifetime access to a library of video lessons, covering data science, right from the beginning, with step-by-step videos.

What you will learn.

  • Python programming.
  • Structured Query Language (SQL) for databases.
  • Data mining & cleaning.
  • Big data analysis.
  • Exploratory data analysis (EDA).
  • Machine Learning & AI.
  • Modeling, validating and problem-solving. 
  • Data visualization and storytelling.

What you will learn.

Programming for data science.

Learn programming skills that the job market demands for.

Data Mining & Cleaning

How to collect, extract, query, clean, and aggregate data for analysis.

Exploratory Data Analysis

How to explore datasets using visual analytics and statistical analysis.

A.I. & Machine Learning

How to build machine learning models and implement algorithms, artifical intelligence.

Modeling, Validation & Problem Solving

Apply question, modeling, and validation problem-solving processes to datasets from various industries in order to provide insight into real-world problems and solutions.

Data Visualization and Story Telling

Create eye-catching visualization that helps to tell a story that communicates your findings.

Analysis To Presentation

Communicate findings, results and creating an effective presentation, even a non-tech layman understands. Then frame business questions from data science.

Big Data Analysis

Identify big data opportunities and articulate how cloud computing technologies are solving these challenges.

Including important data science competencies, such as:

Python Programming

Most popular data science programming language.

Python is a major programming language used by companies like Netflix, Grab, and NASA. Being able to program with Python, will open many doors of opportunity for you.

Structured Query Language (SQL)

Want a data science job? Learn SQL.

No data scientist is complete without SQL, a standardized programming language used to manage relational databases and perform various operations. 

Data science topics you’ll discover.

Data Science 360 includes practical data science lessons, transferrable to actual work.

Gathering data.

The first step in data science is to collect data. Most data do not come in a ready format. You’ll learn methods & work with APIs (Application Programming Interface), to scrap & collect data from web pages, social media platforms, and turn them into an analysis-ready format.

Data cleansing.

After collecting data, you need to get it into a form that is ready for analysis. Data cleansing is when you diagnose your data for problems, deal with missing values and outliers, to ensure quality results from your analysis.

Sentiment analysis.

Sentiment analysis is a Natural Language Processing (NLP) technique, used to quantify subjective information. Here, you will learn to analyze customer sentiments from text data to uncover user behavior & purchasing habits.

Machine learning

Machine learning is about teaching computers how to make decisions. Here you will learn how to extract features, build supervised and unsupervised machine learning models.

You will learn three key machine learning tasks: classification, regression, and clustering, to identify patterns and make predictions.


You will learn to fit the ARIMA model, a forecasting algorithm, to time-series data to better understand the data or to perform forecasting. 

Data Science 360 Syllabus

Module 1 – The Data Science Workflow

  • Turn business questions to data science questions
  • Setup your data science workspace
  • Python and data science
  • Data scientist workflow
  • ETL process and Data Cleansing

Module 2 – Data Wrangling

  • Understanding Databases (Relational, Unstructured, NoSQL)
  • Database design
  • Working with different data sources (Excel, CSV, JSON)
  • Database design and normalization
  • Writing SQL scripts

Module 3 – Handling Text and Semi-structured Data

  • Introduction to MongoDB
  • Collecting data from Web with scraping and API
  • Processing text using Natural Language Processing
  • Mining and retrieving information from text
  • Analyzing sentiment from text

Module 4 – Machine Learning & Artificial Intelligence

  • Supervised Learning (Regression, Decision Tree)
  • Unsupervised Learning (Clustering)
  • Evaluating a Machine Learning Model
  • Neural Network and Generative AI
  • Build your own AI applications

Module 5 – Visualization and Presentation

  • Selecting the right visualization
  • Data storytelling
  • Building a data science portfolio
  • Preparing to land a data scientist job.

Module 6 – AI / Final Project

  • Generative AI tools for Data Analytics
  • Integrating AI in daily workflows
  • Data Science Project in Production
  • Capstone Project

Meet your expert coaches.


Dr. Lau Cher Han

Data Science 360 is created and led by chief data scientist, keynote speaker & founder of LEAD, Dr. Lau Cher Han.

Dr. Lau is a sought-after trainer in data science and technology, following his long record of training individuals and leaders from OCBC Bank, TNB Malaysia, Intel, IBM, Dell, PLUS, Shell, F&N, Mitsubishi, HP, Gardenia, Heineken, U-Mobile, and more. and more.

You can follow Dr. Lau Cher Han on LinkedIn or Facebook.

Edmund Hee from LEAD

Edmund Hee

Edmund is a senior data scientist and full-stack developer, who will co-teach along with Dr. Lau in Data Science 360. 

As an ex-lead data scientist at Air Asia and various startups like Watch Over Me, he brings practical data science know-how from startups and corporations. Some of Edmund’s extensive training portfolio includes organizations such as JPAN Sabah, MaGIC, Hitachi, UTHM and more.

You can follow Edmund on LinkedIn.

Join Data Science 360

4 full days physical class in July and August 2024

Earn a certificate.

You’ll be awarded a completion certificate at the end of the program, signed by Dr. Lau Cher Han.

HRDF Claimable

LEAD is a HRDF registered training provider. We have trained some of the biggest tech companies in Southeast Asia.

What our students say.

“The teaching methods were easy to understand and applicable to real-world applications. If you see a program by Dr. Lau or LEAD, just go for it.”.


B.A, Economics

“I found the program was useful for me to explore different types of analysis and I could apply it to the work in my company. One of reason I joined was because I wanted to join the data science team in my company.”


Data Scientist, NMG Consulting

It was a great opportunity to learn from Dr. Lau and the group of like-minded people. This program has boosted my confidence to handle tasks in my daily work.

Ghazal Ghalebandi

Software Research, SEEKAsia


Learn about his journey with data science, as a student in Data Science 360

Join Data Science 360. Risk-free.

Our program guarantee.

We’ve placed a lot of effort into Data Science 360 and made sure that this program will work for you.

Put simply: Join the entire program and go through it. At the end of the program, if you can’t pick data science up – you can attend any upcoming intake as a refresher – completely free.

Need support or have some questions?
Call: +6018-2777 989
Email: chelsea@thelead.io