Join The Data Science Uncut Bootcamp

In this 4-week bootcamp, you’ll learn & work on everything to make you able to handle data science projects confidently as a data professional.

  • Complete 4 data science projects.
  • Practice with real-world problems & solve them.
  • Get certified as a data professional.
4 Week Bootcamp: 12th July – 12th August 2021

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July 12th, 2021

1-month commitment
7-10 hours/week for 4 weeks. Get immerse into the process.

4 data science projects
Level up with essential data science skills and a portfolio.

All levels
Complete beginners. This bootcamp will level you up.

Confidently handle data science projects in 30 days

What’s in the bootcamp

  • Small group of 25 people, who values putting in the work and not just trying to sound smart by throwing around words like Big Data and AI.
  • Real-world data science projects that ensures you can solve data problems at work – and not look like a dummy.
  • Live chat support, connecting your peers, the student community and LEAD instructors.
  • Daily lessons & tasks released everyday in chunk-size, step-by-step videos and worksheets.
  • Weekly live coaching to guide you, hold you accountable, get detailed feedback and move forward. 
  • Weekly workload: 6-10 hours per week, of classes, practice, including live training sessions.
  • Private Pro Group community for extended help, learning and collaboration (lifetime access.)
  • Bootcamp fees: MYR2,200 

Learn by doing, not watching.

Complete 4 data science projects.

Predictive Modelling

Learn to do prediction based on data, predict any events before it happens.

Regression analysis

Understand the relationship between variables and what factor matters most.


Social media analysis

Know exactly how customers, voters, users feel, think, respond to your organization.


Product recommendation

Gain deep insights about your customers & their desires.

Experience real-life data projects.

Level up your data analytics skills

This Bootcamp expands your boundaries and employability when you pick up 21st-century skillsets used by actual data professionals at work.


Automate tasks using Python

You will learn Python as you work on the data science projects.


Sentiment Analysis

Learn to determine opinions and the market sentiments with data.


Processing data using SQL

Learn to process, structure, and optimize databases with SQL.


Prediction Analytics

Predict events using classification techniques, modeling and more.


Presentation & visualizations

Learn to build visualization and present findings with confidence.


Forecasting using regressions

Learn techniques to forecast and optimize business processes.


Business Intelligence Tools

Put your hands on popular business intelligence tools used at work.


Increase sales using product recommendation

Learn to build recommender systems, just like the ones you see on Netflix, Amazon & YouTube.

You’ll surprise yourself – by what you can do by the end.

The Bootcamp structure.

Pre-bootcamp: On-boarding and installation.

Before everything starts – Dr. Lau will help you guide you to install the right tools, software and get you ready to be supported throughout the bootcamp.

Days 1-6: Data Science Fundamentals

Your instructor, Dr. Lau Cher Han will be teaching you the fundamentals of data science, how actual data science projects are done, and introduce you to the projects you’ll work on.


  • Day 1: Turn business question into data science problem
  • Day 2: OSEMN – The Data Science framework
  • Day 3: Data science roles and career prospect
  • Day 4: Set up your data science workspace
  • Day 5: Python programming basics
  • Day 6: Project – Write your first data science program
Days 7-12: Predict customer churn using decision tree

In this module, you will learn how to use the decision tree, a visual classification method. You will learn how to apply a decision tree to predict customer churn for a telco company. 

  • Day 7: Types of data 
  • Day 8: Conduct EDA (Exploratory data analysis)
  • Day 9: Implement decision tree for classification
  • Day 10: Metrics for evaluating classification model
  • Day 11 & 12: Project – Telco churn analytics
Days 13-18: Forecasting using Regression analysis

Picking up regression analysis is your first step into forecasting. Regression analysis is a skillset highly sought after by companies.

  • Day 13: Regression analysis in Data Science
  • Day 14: Statistical modelling vs machine learning
  • Day 15: Build a linear regression model
  • Day 16: How to evaluate a linear regression model
  • Day 17 & 18: Project –  Sales forecasting using ads spent
Days 19-24: Social media and text analysis

Unstructured data refers to data that you can’t fit into an Excel sheet – such as video, audio, image files or texts. During this week, you’ll learn to work with text, the most common unstructured data. Use NLP to understand your customers, 

  • Day 19: Types of unstructured data
  • Day 20: Applied Natural Language Processing
  • Day 21: Extract features from text documents
  • Day 22: Analyze sentiments using Natural Language Toolkit (NLTK)
  • Day 23 & 24: Analyze sentiments for TripAdvisor hotels
Days 25-30: Dashboard and portfolio

During the final week, you will learn how to display data in an appealing dashboard. You will also learn how to publish your work to portfolio.

  • Day 25: Types of visualization
  • Day 26: Self-serve interactive business Intelligence
  • Day 27: Build dashboard using Google data studio
  • Day 28: Key elements of an impressive portfolio
  • Day 29: Using web templates for portfolio
  • Day 30: Project –  Publish your personal data science portfolio using GitHub

Learn from a practitioner

Dr. Lau Cher Han

Chief Data Scientist, Founder of LEAD, Machine Learning researcher, Microsoft Excel World Champion.

What makes instructors like Dr. Lau different? Like many hard-working professionals, Dr. Lau works in practice. For every day of teaching, he does 3-5 days consulting and working with brands.

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.

And with over 15 years of experience in software development, database technologies, data mining and analytics – he has consulted companies such as Intel, Jabil, HP and the Selangor Government.

What’s inside the bootcamp?

What you get.

Receive daily video lessons.

in Class Platform & Pro Group.

Receive bite-sized video tutorials every day, complete with the tasks you need to complete in the Class Platform.

Publish your work to receive feedback from your instructor and peers within the Pro Group. 



Join online live training session.

on Zoom.

Enforce your learning and application with online live training.

Gain new insights, expert guidance, and learn from live Q&A by engaging with the community and trainer.

Online live session with be held once on a weekday evening and Saturday morning (each week).


Get instant guidance.

in the student support channel.

Your instructor will be reachable (within minutes) in the student chat support channel, where you can ask questions and get help to complete your data science tasks.



Finish 4 portfolio-ready data science projects

that you can use for job interviews.

The bootcamp keeps you true to your goal – where you’ll be challenged to finish 4 real-world data science projects and learn by practice. 

Because you’ll be working with real data problems, the projects you complete can be easily turned into a portfolio for a data science interview.


Receive a certification.

And tell people about your new skillsets.

Put up the certificate on your LinkedIn profile, and immediately increase your employability and value in the market.

Receive a lifetime benefit

With the student’s ‘Always-Access’ pass.

We’re all about your growth. Our team works hard to call you by your names and stay to celebrate your success. 

This requires infinite dedication. 

That’s why – all LEAD students are given lifetime access to the Bootcamp materials and the Pro Group. In fact, alumni are welcomed to rejoin future Data Science Uncut bootcamps at no extra fees.

What our alumni think.

What is this bootcamp, really worth?


“I’ve learnt how to do things faster, including the type of tools, software and libraries to use to achieve my tasks faster. And I like the support given by the team where I could get help for some tasks I have at work.”

Dara Tumenbayeva

Software Development Engineer, Amazon

“What I like about the course by LEAD is its real-life experiences from the instructors and as well as the continuous support that the team gives. They are always online helping me, 6 AM to 1 AM in the morning. That shows dedication.”

Vanessa Miranda

Demand Generation Lead / Snr. Digital Marketing, Lenovo

“The course was comprehensive and it taught me everything I need to know about and the industry practices both – locally and globally. And I think the rest of it will have to be on my own to discover.”

Josh Wang

Growth Hacker, Boost Financial Services

Join Data Science Uncut Bootcamp Now

This digital classroom bootcamp style will transform the way you work with data and give you skillsets to build analytics dashboards and do predictive analytics.

Upon applying, you’ll receive a confirmation within 3 working days if you’re accepted. You’ll get access to your Digital Classrom and support group.

Enrol Now


When you apply now.

What’s Included

  • Lifetime access & future updates
  • Complete digital classroom recordings
  • Downloads, resources and extra content
  • Welcome to join any future live training
  • Lifetime support and certificate


Start date: 12th July 2021 (Monday)
12th July – Onboard & Day 1 (GMT +8)
Digital Classroom

Need support or have some questions?
Call: +018-2777 989

Potentially Asked Questions

Here are some questions you probably would have.

What if I miss a day because I’m busy?

  • Not an issue! We designed the Bootcamp, understanding that you are a busy working person and it’s only natural to have to miss out on a day – or two. You’ll be able to catch up. 

Is the Bootcamp or cert accredited?

  • Proudly, no. Accreditation makes sense for certain types of education, but that is not what makes great data professionals.

    We’ll happily provide completion certificates upon the end. But know this.

    Instead of having a paper to ‘prove’ you know something, how about having 4 completed data science projects to show for?

Do I need prior tech or coding knowledge?

  • None. The Bootcamp doesn’t require prerequisites or prior knowledge. Bring your curiosity and desire to grow, and that’s enough.

Why can’t I just learn online myself?

  • You can. However, it’s faster and more efficient to learn data science with someone to guide you. And while most online courses are ‘self-paced’, we designed this Bootcamp to be ‘instructor-led-paced’, to keep you accountable.

Is there an exam?

  • No. We’re beginning to drop examinations because we believe ‘test to grade’ is ruining education, as it limits discovery and incentivizes students to ask questions like, “Will this be on the test?”

How long is the bootcamp?

  • The Bootcamp is designed for 30 days. This would translate into more than 60+ hours of learning and work.

    But we’re really vouching for life-long learning. Often times we see real learning happening after a course, where our students continue to self-discover and interact with their peers.

LEAD has helped companies such as: