Learn how to build advanced data processing systems and extract big data for large companies.

An introductory course to data engineering – enabling you to perform exploratory data science and machine learning at scale.

Upgrade to a Data Engineer Today

The data engineer is a crucial person who enables organisations to make data-driven decisions by designing, building and maintaining data processing systems for them.

A data engineer also analyzes data to produce business outcomes and builds machine learning algorithms to simplify important key business processes.

  Data Engineers are high in-demand. The question is, are you ready to be one?

Introducing Data Engineer Sprint

A hands-on physical course to teach you the end to end process of a data engineer.

In this course, you’ll learn to use Python programming language to collect data, build databases and design data processing systems.

You’ll be guided step-by-step to pick and set-up data warehouses that include Amazon Redshift or Google Cloud.

From there, learn to create ETL (Extract, Transform and Load) processes to make sure that data gets into the data warehouse and find ways to integrate new data sources to the data ecosystem.

Venue: SVOFO Seminar Room, Petaling Jaya.
Date: 16th March 2019 (Saturday)
9AM – 5PM (Full-day class)

What You’ll Learn

One day physical course that will cover how to create ETL (Extract, Transform, Load) reusable script that processes raw data into analytics data.

Learn how big companies handle terabytes of data for analytics.

Module 1: Introduction to Data Engineering

Learn what a data engineer does and how he/she does it. This module prepares your expectations for data engineering and prepares you for your data engineering journey.

Module 2: Data Warehouse

Learn the concepts and skills to design data warehouses and create data integration workflows for organizations.

Module 3: Industry Architecture of Data Warehouse 

Get hands-on experience building data warehouse and using open source products. Go deeper into architectures and management practices.

Module 4: Data Engineer Tools (ETL Engine) 

ETL (Extract, Transform and Load) are steps you must follow as a data engineer to build data pipelines in collecting raw data and processing them into analysis-ready data.

Module 5: Data Extraction & Transform with SQL

Different data warehouse has different structures. Learn how large corporations like AirAsia does it and the best practices.

Module 6: Data Wrangling & Loading with Python 

Learn data wrangling with Python. Data wrangling is the process machine learning and data engineers do most of the time. 

Module 7: Data Workflow Automation

After grasping the skills to build a data warehouse, learn to automate your workflow and leave the heavy-lifting to the machines.

Learn From Industry Data Experts

Jyy Bing

Data Engineer @ AirAsia

Jyy Bing brings her experience from handling workflow automations, building data ingestion pipelines and data analysis systems in large companies to you – through easy to follow lessons, designed together with the team at LEAD.


Edmund Hee

Data Scientist & Full Stack Developer

Edmund started his journey as a Java and Mobile developer in a company dealing with crime data. This brought him immense experience working with programming, machine learning & data analysis technologies.

Additionally, to being a full stack developer, he is highly experienced with Python & Django. Currently appointed as a Data Scientist in AirAsia, Edmund looks forward to sharing insights and mentor from his experience.

I’m a beginner. Can I join the workshop?

Yes, the course is designed with the beginner in mind.
It is a plus point to have some minor programming knowledge.

Join The Course Now

Get the early access tickets before they are sold out.
Please bring your laptop to the workshop. 25 pax class size only.

Date: 16th March 2019 (Saturday)   Time: 9:00AM – 5:00PM
Address: SVOFO Training Room, Petaling Jaya, Selangor

Workshop Venue & Time

Address: SVOFO Training Room, C-1-7 SUNWAY NEXIS, Jalan PJU 5/1, Kota Damansara, 47810 Petaling Jaya, Selangor
Date: 16th March 2019 (Saturday)
Time: 9:00AM – 5:00PM

SVOFO Training Room, Sunway Nexis

The workshop will be held here!
Address: SVOFO Meeting Room, C-1-7 SUNWAY NEXIS, Jalan PJU 5/1, Kota Damansara, 47810 Petaling Jaya, Selangor

See What Our Past Students Say

Our courses are designed to impact students immediately. No fluff. Just value.

Fahmy found the course to be eye-opening and took the lessons learnt from the course and applied it at work.

Karen came from a financial background. She learnt how to use Python to do 

John was totally new to tech and programming. He found the course to have given him a new skill for future jobs.

Alexander loved the fact that the courses are based on practical hands-on approach, rather than just theory.

Frequently Asked Questions:

What do I need to bring?

Bring your laptop. This will be a hands-on workshop.

Can I join if I don’t know programming?

Yes, we will cover from the very basics of Python programming and SQL query.

Can I learn data engineering in one day?

The lessons are designed to teach you practical data engineering. Sure, you won’t be an expert in just a day. You need to put in practice and there’s where our student support comes in.

Fully HRDF Claimable

LEAD is fully HRDF certified. Machine Learning Spark is a HRDF claimable course.

Need support or have some questions?
Call: +6016-473 7281
Email: reuben@thelead.io

Who Should Join This Course?

For Individuals

You want a career in data engineering. In this course, you will learn the practical working of a data engineer.

For Programmers

Maybe it’s time for you to switch careers. You want to explore data science and big data. This course will help you kickstart that path.

For Business People

Discover how to implement a data processing system in your company to start collecting big data and transforming them into analytics-ready data.

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