Join our award winning part-time data courses

Learn to become a data expert in Singapore. As with all our data courses, our Data Engineering course has a Money-Back Guarantee

As a result of COVID-19, all on-campus courses are temporarily being delivered via remote instruction until further notice. We are monitoring guidance from relevant government authorities and expect to re-open on-campus instruction as it becomes safe for our students and staff.

We are a proud member of the CPD accreditation body based in the United Kingdom. Established in 1996, The CPD Certification Service is the independent CPD accreditation centre working across all sectors, disciplines and further learning applications. Our courses go through an accreditation process thats takes an impartial and objective overview of structure and value to ensure full conformity to CPD guidelines. Click here to verify our membership status.

Start your career as a data expert in Singapore

At Big Data Theory, we teach today’s in-demand tech skills, through our dynamic, immersive courses taught by experienced, passionate industry professionals. But we don’t stop there — we pair a rigorous curriculum with dedicated Career Services professionals who are committed to helping you find a job you love.

Curated Community

We’ve been building communities of learners since 2018. Build your network as well as your knowledge with a diverse, supportive group of peers committed to growth and change.

Passionate Instructors

Our instructors have both industry and teaching experience and are backed by our Master Teachers and Learning Experience Designers to ensure you get the best possible support.

Industry Projects

Students will be tasked to tackle real-world problems by leveraging on the new set of data skills they are taught with and coming up with data-driven solutions.

Our graduates move on to companies like:

Your path to a new career in data engineering

In this track, you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems. In addition to working with Python, you’ll also grow your language skills as you work with Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and build a high-performance database.
Through hands-on exercises, you’ll add cloud and big data tools such as PySpark, Spark SQL, and MongoDB, to your data engineering toolkit to help you create and query databases, wrangle data, and configure schedules to run your pipelines. By the end of this track, you’ll have mastered the critical database, scripting, and process skills you need to progress your career.

Lesson 1

Introduction to Data Engineering
Streamlined Data Ingestion with pandas

Lesson 2

Algorithm Complexity
Writing Efficient Python Code
Writing Functions in Python

Lesson 3

Introduction to Shell
Data Processing in Shell
Introduction to Bash Scripting

Lesson 4

Unit Testing for Data Science in Python
Object-Oriented Programming in Python

Lesson 5

Introduction to Airflow in Python
Introduction to PySpark

Lesson 6

Building Data Engineering Pipelines in Python
Introduction to Relational Databases in SQL
Database Design

Lesson 7

Capstone Project

Your Instructors

Data Scientist @ Singtel

Vincent Leow

Vincent earned his B.Sc (Hons) from NUS, majoring in Business Analytics. He is currently a Data Scientist at Singtel.

Vincent earned his B.Sc (Hons) from NUS, majoring in Business Analytics, and he has been awarded the Dean's list numerous times. Under his belt, he has more than 5 years of Data Analytics and Data Science experience , in the Telecommunications, Information Technology and Consulting industry. He was the Chief Instructor at Singapore Data Science Academy in 2018 and was voted, by his peers and students, the best Instructor (out of 11) in the same year. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming. Check out his personal website by clicking on the icon below.
DataOps Engineer @ Facebook

Julien Bongars

Julien earned his B.Sc (Hons) from Murdoch University, majoring in Computer Science. He is currently a DataOps Engineer at Facebook.

Julien earned his B.Sc (Hons) from Murdoch University, majoring in Computer Science. Under his belt, he has more than 4 years of Software Engineering and Data Analytics experience, in the Finance and Consulting industry. He began teaching as an Instructor at Singapore Data Science Academy in 2018 and taught the module DSC1010 Core Fundamentals of Data Science. His current role requires him to be involved in all aspects of DataOps. This includes but is not limited to Front End Development, Back end Development, Database Management, managing AWS services, some DevOps and some Unit Testing.

Unlock our LinkedIn friendly Big Data Theory certified badges.

Open the door to myriad amount of new opportunities by showing recruiters that you have been formally certified by us! The badge(s) below requires you to complete DEG201: Data Engineering Fundamentals. Click on the badges to find out more on the badges' requirements.

Join the fastest-growing corner of the tech industry

More than ever before, companies are relying on data to make business decisions. Without data science, these industry trends stay undiscovered — no story to tell and no insights to share. In order to determine business goals, more and more companies are looking for data scientists to fill in the gaps. Data science is one of the fastest-growing and sectors of the tech industry.

650%

Growth in Data Related Jobs Since 2012

The course will qualify you for a position as a data scientist or a data analyst. If you have a professional background in programming, you may also be able to get a position as a data engineer or a machine learning engineer.

Register Now!

Frequently asked questions

Where are the courses conducted?

We guarantee that our courses are conducted at clean and conducive classrooms to ensure that you will receive the best learning experience. Classes are located at Singapore Shopping Centre and are equipped with adequate charging points for your personal laptop.

What do I need to bring to class?

Your own personal laptop, water bottle and a pair of sweater in case the classroom gets cold.

How are courses conducted?

You are required to attend an in-person class that lasts 3 hours based on the schedule of your registered class. During this period, our Instructor will teach and run through concepts of the course with you, and you will be able to clear your doubts with them. There will be a total of 21 hours of offline lessons.

Note: Due to COVID-19 measures, all classes will be held online unless otherwise specified.

What are the requirements to receive the certificate of completion?

You are required to complete 80% of your assignments and score above 50% for your capstone project. Fret not, these requirements are not difficult as long as you have put in the effort.

What if I am not able to attend the in-person class?

To make sure that you understand the course content fully, we strongly encourage you to attend all lessons. However, should you have a valid reason to miss a class (e.g. MC), we will provide you with recorded videos classes to make sure you that you will be able to catch up for the next class.