Python for Data Science

Learn Python, Data preparation, Data visualization, Data analysis, Machine Learning

Data science is a skill in demand in this modern age with buzzwords like big data, artificial intelligence, machine learning, deep learning etc.

In this video recording of our comprehensive 3-day online course, you will be learning 3 important skills to becoming a data scientist.


Python is so popular because it is easy to read, understand and use. This makes it a great place to start for people new to programming. With basic python, you can then move on to use the powerful data science packages available.

Data preparation, visualization, and analysis

Go through basic statistics, then move on to use Pandas, a Python library, to prepare your data for analysis. Communicate insights by creating diagrams and charts that describe large amounts of data but are easy to understand.

Machine learning and AI

Next, learn about supervised and unsupervised machine learning. Use machine learning, Python libraries again, to go through data and try to predict future values or extract insights. Next, try different libraries to see which does predictions best.

Skills You Will Learn

✓ Acquire basic mathematical and statistical knowledge
✓ Set up your Python coding environment
✓ Evaluate and pre-process data
✓ Access data sets e.g. financial, digital marketing
✓ Perform data mining using Pandas
✓ Perform data visualization using Matplotlib
✓ Perform machine learning using scikit, Tensorflow, Keras


Course Accreditation

This course is accreditated under the Singapore Workforce Skills Qualification system.

The Singapore Workforce Skills Qualifications (WSQ) is a national credential system that trains, develops, assesses and certifies skills and competencies for the workforce.

WSQ training programmes are based on skills and competencies validated by employers, unions and professional bodies, ensuring existing and emerging skills and competencies in demand are used to inform training and development.

Your Instructor

Siew Yee
Siew Yee

Leader in data science and digital transformation with more than 20 years of experience in team setup and strategic business insights leading to data-driven results for Asia Pacific and global markets.

Data Science coverage: Predictive Modelling, Machine Learning, Deep Learning, Blockchain, Computer Vision, Natural Language Processing, Digital Music, Knowledge Graph, Multi-agent Systems, Internet-of-Things (IoT).

Industry experiences: Banking, eCommerce, B2B, Retail, Distribution, Media & Advertising, IT, Aerospace.

Get started now!

Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What are the advantages of online learning?
There is no need to travel to the training center, so you can attend in the comfort of your home. You can pause the course when you need, learn when you are available instead of scheduling off times away from work.
What is the difference of learning through video recordings of an actual live course vs a normal video course?
You can learn from the questions and experiences of other learners. There is less or no need to pause videos as you do hands-on practice, as the pace is just like attending a live course.